diff --git a/GroupMextest/GLcuda.cu b/GroupMextest/GLcuda.cu
new file mode 100644
index 0000000..1b382a0
--- /dev/null
+++ b/GroupMextest/GLcuda.cu
@@ -0,0 +1,420 @@
+#include "stdafx.h"
+#include "stdio.h"
+#include <cuda.h>
+#include <math_functions.h>
+#include <cublas_v2.h>
+#include "cuda_runtime.h"
+#include "device_launch_parameters.h"
+
+#define BLOCK_SIZE 16
+#define BLOCKSIZE BLOCK_SIZE
+#define AVOIDBANKCONFLICTS 0
+#define USELOOPUNROLLING 1
+#define TESTBLOCKS 16
+#define IDC2D(i,j,ld) (((j)*(ld))+(i))
+
+#define THREADS 64//this is 64 because for this version of ADMM group lasso, data sets will be small. For later data sets use 256
+//make sure matches cpp CPPTHREADS
+
+#define LINEAR_BLOCK_SIZE THREADS
+
+const int blockSizeLocal=128;
+
+//general use kernels
+/////////////////////////////////////////////////////////////////////////////////////
+__global__ void generateEye(float *E, const int size){
+    int offset = blockIdx.x*blockDim.x + threadIdx.x;
+	if(offset<(size*size)){
+		int y = offset/size,x = offset - y*size;
+		E[offset] = (x == y) ? 1.0f:0.0f;
+	}
+}
+extern "C" void generateEye_wrap(float *E, const int N,const int numBlocks){
+	generateEye<<<numBlocks,THREADS>>>(E,N);
+	cudaError_t err=cudaThreadSynchronize();
+	if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+}
+//////////////////////////////////////////////////////////////////////////////////////
+
+__global__ void gpu_inplace_vector_scale(float *V, const int size,const float _s){
+	int offset = blockIdx.x*blockDim.x + threadIdx.x;
+	if(offset<size){
+		V[offset]*=_s;
+	}
+}
+extern "C" void gpu_inplace_vector_scale_wrap(float *V, const int size,const float _s,const int numBlocks){
+	gpu_inplace_vector_scale<<<numBlocks,THREADS>>>(V,size,_s);
+	cudaError_t err=cudaThreadSynchronize();
+	if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+}
+//////////////////////////////////////////////////////////////////////////////////////
+
+__global__ void gpu_vector_add(const float* __restrict__ a, const float* __restrict__ b, float* __restrict__ result,
+	const int size,const bool add){
+	const int offset = blockIdx.x*blockDim.x + threadIdx.x;
+	const int adj= add ? 1:-1;
+	if(offset<size){
+		result[offset]=a[offset]+float(adj)*b[offset];
+	}
+	
+}
+extern "C" void gpu_vector_add_wrap(const float *a, const float *b, float *result, const int size, const bool add,const int numBlocks){
+	gpu_vector_add<<<numBlocks,THREADS>>>(a,b,result,size,add);
+	cudaError_t err=cudaThreadSynchronize();
+	if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+}
+//////////////////////////////////////////////////////////////////////////////////////
+
+__global__ void gpu_lasso_u_update(float* __restrict__ u,const float* __restrict__ xh, const float* __restrict__ z,const int size){
+	int offset = blockIdx.x*blockDim.x + threadIdx.x;
+	if(offset<size){
+		u[offset]+=(xh[offset]-z[offset]);
+	}
+}
+extern "C" void gpu_lasso_u_update_wrap(float *u,const float *xh, const float *z,const int size,const int numBlocks){
+	gpu_lasso_u_update<<<numBlocks,THREADS>>>(u,xh,z,size);
+	cudaError_t err=cudaThreadSynchronize();
+	if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+}
+//////////////////////////////////////////////////////////////////////////////////////
+
+__global__ void gpu_lasso_objective_helper(float* __restrict__ v0,const float* __restrict__ v1,const int size){//(v0 - v1).^2, with A
+	int offset = blockIdx.x*blockDim.x + threadIdx.x;
+	if(offset<size){
+		float t=v0[offset]-v1[offset];
+		v0[offset]=t*t;
+	}
+}
+extern "C" void gpu_lasso_objective_helper_wrap(float *v0,const float *v1,const int size,const int numBlocks){
+	gpu_lasso_objective_helper<<<numBlocks,THREADS>>>(v0,v1,size);
+	cudaError_t err=cudaThreadSynchronize();
+	if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+}
+//////////////////////////////////////////////////////////////////////////////////////
+
+__global__ void gpu_lasso_h_helper(const float* __restrict__ z, const float* __restrict__ zold,
+	float* __restrict__ v_result,const float _rho,const int size){
+	int offset = blockIdx.x*blockDim.x + threadIdx.x;
+	if(offset<size){
+		v_result[offset]= -_rho*(z[offset]-zold[offset]);
+	}
+}
+extern "C" void gpu_lasso_h_helper_wrap(const float *z, const float *zold, float *v_result,const float _rho,const int size,const int numBlocks){
+	gpu_lasso_h_helper<<<numBlocks,THREADS>>>(z,zold,v_result,_rho,size);
+	cudaError_t err=cudaThreadSynchronize();
+	if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+}
+//////////////////////////////////////////////////////////////////////////////////////
+
+__global__ void gpu_group_lasso_shrinkage(const float* __restrict__ x, float* __restrict__ z_result,
+	const float kappa,const float e_norm,const int size){
+	int offset = blockIdx.x*blockDim.x + threadIdx.x;
+	if(offset<size){
+		float temp=(1.0f-kappa/e_norm);
+		z_result[offset]= (temp>0.0f) ? (temp*x[offset]):0.0f;
+	}
+}
+extern "C" void gpu_group_lasso_shrinkage_wrap(const float *x, float *z_result,const float kappa,const float e_norm,const int size,const int numBlocks){
+	gpu_group_lasso_shrinkage<<<numBlocks,THREADS>>>(x,z_result,kappa,e_norm,size);
+	cudaError_t err=cudaThreadSynchronize();
+	if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+}
+//////////////////////////////////////////////////////////////////////////////////////
+
+__global__ void d_choldc_topleft(float *M, int boffset,const int N){
+    int tx = threadIdx.x,ty = threadIdx.y;
+
+    __shared__ float topleft[BLOCK_SIZE][BLOCK_SIZE+1];
+	int idx0=ty+BLOCK_SIZE*boffset,adj=tx+BLOCK_SIZE*boffset;
+
+    topleft[ty][tx]=M[idx0*N+adj];
+    __syncthreads();
+
+    float fac;
+// in this loop tx labels column, ty row
+    for(int k=0;k<BLOCK_SIZE;k++){
+		__syncthreads();
+		fac=rsqrtf(topleft[k][k]);
+		__syncthreads();
+		if((ty==k)&&(tx>=k)){
+			topleft[tx][ty]=(topleft[tx][ty])*fac;
+		}
+		__syncthreads();
+		if ((ty>=tx)&&(tx>k)){
+			topleft[ty][tx]=topleft[ty][tx]-topleft[tx][k]*topleft[ty][k]; 
+		}
+    }
+    __syncthreads();
+// here, tx labels column, ty row	
+    if(ty>=tx){
+		M[idx0*N+adj]=topleft[ty][tx];
+    }
+}
+extern "C" void d_choldc_topleft_wrap(float *M, int boffset,const int N,const dim3 t_block){
+	d_choldc_topleft<<<1,t_block>>>(M,boffset,N);
+	cudaError_t err=cudaThreadSynchronize();
+	if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+}
+//////////////////////////////////////////////////////////////////////////////////////
+
+
+__global__ void d_choldc_strip(float *M,int boffset,const int N){
+// +1 since blockoffset labels the "topleft" position
+// and boff is the working position...
+    int boffx = blockIdx.x+boffset+1; 
+    int tx = threadIdx.x,ty = threadIdx.y;
+	int idx0=ty+BLOCK_SIZE*boffset,adj=tx+BLOCK_SIZE*boffset;
+	int idx1=ty+boffx*BLOCK_SIZE,adj1=tx+boffset*BLOCK_SIZE;
+
+    __shared__ float topleft[BLOCK_SIZE][BLOCK_SIZE+1];
+    __shared__ float workingmat[BLOCK_SIZE][BLOCK_SIZE+1];
+
+    topleft[ty][tx]=M[idx0*N+adj];
+// actually read in transposed...
+    workingmat[tx][ty]=M[idx1*N+adj1];
+
+    __syncthreads();
+    // now we forward-substitute for the new strip-elements...
+    // one thread per column (a bit inefficient I'm afraid)
+    if(ty==0){
+		float dotprod;
+		for(int k=0;k<BLOCK_SIZE;k++){
+			dotprod=0.0f;
+			for (int m=0;m<k;m++){
+				dotprod+=topleft[k][m]*workingmat[m][tx];
+			}
+			workingmat[k][tx]=(workingmat[k][tx]-dotprod)/topleft[k][k];
+		}
+    }
+    __syncthreads();
+// is correctly transposed...
+    M[idx1*N+adj1]=workingmat[tx][ty];
+}
+extern "C" void d_choldc_strip_wrap(float *M, int boffset,const int N,const dim3 stripgrid,const dim3 t_block){
+	d_choldc_strip<<<stripgrid,t_block>>>(M,boffset,N);
+	cudaError_t err=cudaThreadSynchronize();
+	if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+}
+
+
+template<int blockWork>//this gets the section norms of (x_hat_+u)
+__global__ void GPU_version(const float* __restrict__ x_hat,const float* __restrict__ u, float* __restrict__ nrms, const int* __restrict__ cuml_part){
+
+		
+		__shared__ int beg,end;
+		__shared__ float tot[2];
+		if(threadIdx.x==0){
+			beg= (blockIdx.y==0) ? 0:cuml_part[blockIdx.y-1];
+			end=cuml_part[blockIdx.y];
+		}
+		__syncthreads();
+
+		const int offset= threadIdx.x+blockIdx.x*blockWork;
+		const int warp_idx=threadIdx.x%32;//
+		//perform reduction through block
+		float val=0.0f,tmp;
+		int i=0,idx;
+		for(;i<(blockWork>>6);i++){
+			idx=(beg+offset)+i*THREADS;
+			if(idx<end){
+				tmp=x_hat[idx]+u[idx];
+				val+=(tmp*tmp);
+			}
+		}
+		val += __shfl(val, warp_idx + 16);
+		val += __shfl(val, warp_idx + 8);
+		val += __shfl(val, warp_idx + 4);
+		val += __shfl(val, warp_idx + 2);
+		val += __shfl(val, warp_idx + 1);
+		if(threadIdx.x==0 || threadIdx.x==32){
+			tot[threadIdx.x>>5]=val;
+		}
+		__syncthreads();
+		if(threadIdx.x==0){
+			atomicAdd(&nrms[blockIdx.y],(tot[0]+tot[1]));
+		}
+}
+
+__global__ void lastStep(const float* __restrict__ x_hat,const float* __restrict__ u, float* __restrict__ nrms, const int* __restrict__ cuml_part,
+	const int start_adr){
+
+		__shared__ int beg,end;
+		__shared__ float tot[2];
+		if(threadIdx.x==0){
+			beg= (blockIdx.y==0) ? 0:cuml_part[blockIdx.y-1];
+			end=cuml_part[blockIdx.y];
+		}
+		__syncthreads();
+		const int offset=beg+threadIdx.x+start_adr;
+		const int warp_idx=threadIdx.x%32;//
+
+		int i=1,adj=0,idx;
+		float val=0.0f,tmp;
+		for(;(offset+adj)<end;i++){
+			idx=offset+adj;
+			tmp=x_hat[idx]+u[idx];
+			val+=(tmp*tmp);
+			adj=(i<<6);
+		}
+
+		val += __shfl(val, warp_idx + 16);
+		val += __shfl(val, warp_idx + 8);
+		val += __shfl(val, warp_idx + 4);
+		val += __shfl(val, warp_idx + 2);
+		val += __shfl(val, warp_idx + 1);
+
+		if(threadIdx.x==0 || threadIdx.x==32){
+			tot[threadIdx.x>>5]=val;
+		}
+		__syncthreads();
+
+		if(threadIdx.x==0){
+			tmp=sqrtf((nrms[blockIdx.y]+tot[0]+tot[1]));
+			nrms[blockIdx.y]=tmp;
+		}
+}
+//now have norm (x_hat+u) in sections, need to finish shrinkage and then fill in SUM of the norm of z
+//each section z will have the max((1-kappa/(norm of (x_hat(sel)+u(sel))
+
+// will have as many blockIdx.y as K, need each value of z to be that (x_hat[idx]+u[idx])*norm(blockIdx.y), while getting the sum of all z norms in t_obj
+template<int blockWork>
+__global__ void adj_z_shrink(const float* __restrict__ nrms,const float* __restrict__ x_hat, const float* __restrict__ u,
+	float* __restrict__ z,const int* __restrict__ cuml_part, float* __restrict__ t_obj,
+	const float kappa){
+
+		__shared__ int beg,end;
+		__shared__ float tmp_pos;
+		__shared__ float tot[2];
+		if(threadIdx.x==0){
+			beg= (blockIdx.y==0) ? 0:cuml_part[blockIdx.y-1];
+			end=cuml_part[blockIdx.y];
+			tmp_pos= (nrms[blockIdx.y]>0.0f) ? max(0.0f,(1.0f-kappa/nrms[blockIdx.y])):0.0f;
+		}
+		__syncthreads();
+
+		const int offset= threadIdx.x+blockIdx.x*blockWork;
+		const int warp_idx=threadIdx.x%32;//
+		//perform reduction through block
+		float val=0.0f,tmp;
+		int i=0,idx;
+		for(;i<(blockWork>>6);i++){
+			idx=(beg+offset)+i*THREADS;
+			if(idx<end){
+				tmp=(x_hat[idx]+u[idx])*tmp_pos;
+				val+=(tmp*tmp);
+				z[idx]=tmp;
+			}
+		}
+		val += __shfl(val, warp_idx + 16);
+		val += __shfl(val, warp_idx + 8);
+		val += __shfl(val, warp_idx + 4);
+		val += __shfl(val, warp_idx + 2);
+		val += __shfl(val, warp_idx + 1);
+		if(threadIdx.x==0 || threadIdx.x==32){
+			tot[threadIdx.x>>5]=val;
+		}
+		__syncthreads();
+		if(threadIdx.x==0){
+			atomicAdd(&t_obj[blockIdx.y],(tot[0]+tot[1]));	
+		}		
+}
+
+__global__ void lastStep_z(const float* __restrict__ nrms,const float* __restrict__ x_hat, const float* __restrict__ u,
+	float* __restrict__ z,const int* __restrict__ cuml_part, float* __restrict__ t_obj,const float kappa,
+	const int start_adr,float* __restrict__ z_norm_sum){
+
+		__shared__ int beg,end;
+		__shared__ float tmp_pos;
+		__shared__ float tot[2];
+		if(threadIdx.x==0){
+			beg= (blockIdx.y==0) ? 0:cuml_part[blockIdx.y-1];
+			end=cuml_part[blockIdx.y];
+			tmp_pos= (nrms[blockIdx.y]>0.0f) ? max(0.0f,(1.0f-kappa/nrms[blockIdx.y])):0.0f;
+		}
+		__syncthreads();
+
+		const int offset=beg+threadIdx.x+start_adr;
+		const int warp_idx=threadIdx.x%32;//
+
+		int i=1,adj=0,idx;
+		float val=0.0f,tmp;
+		//fill in last new values of z and finish up getting the norm
+		for(;(offset+adj)<end;i++){
+			idx=offset+adj;
+			tmp=(x_hat[idx]+u[idx])*tmp_pos;
+			val+=(tmp*tmp);
+			z[idx]=tmp;
+			adj=(i<<6);
+		}
+
+		val += __shfl(val, warp_idx + 16);
+		val += __shfl(val, warp_idx + 8);
+		val += __shfl(val, warp_idx + 4);
+		val += __shfl(val, warp_idx + 2);
+		val += __shfl(val, warp_idx + 1);
+
+		if(threadIdx.x==0 || threadIdx.x==32){
+			tot[threadIdx.x>>5]=val;
+		}
+		__syncthreads();
+
+		if(threadIdx.x==0){
+			tmp=sqrtf((t_obj[blockIdx.y]+tot[0]+tot[1]));//this is the z_norm
+			atomicAdd(&z_norm_sum[0],tmp);	
+		}
+}
+
+//Note: norm_s, t_obj_arr and z_norm_sum will be memset prior to helper function call
+extern "C" void z_shrinkage_wrap(float *D_z,const float *x_hat, const float *D_u,float *norm_s, float *t_obj_arr, float *z_norm_sum,
+	const int adj_size,dim3 &PGrid, const int *D_cuml_part, const int rem_start, const float kappa,const int num_blx,
+	cudaError_t &err){
+
+		if(adj_size==1){
+			GPU_version<blockSizeLocal><<<PGrid,THREADS>>>(x_hat,D_u,norm_s,D_cuml_part);
+		}else if(adj_size==2){
+			GPU_version<blockSizeLocal*2><<<PGrid,THREADS>>>(x_hat,D_u,norm_s,D_cuml_part);
+		}else if(adj_size==3){
+			GPU_version<blockSizeLocal*4><<<PGrid,THREADS>>>(x_hat,D_u,norm_s,D_cuml_part);
+		}else if(adj_size==4){
+			GPU_version<blockSizeLocal*8><<<PGrid,THREADS>>>(x_hat,D_u,norm_s,D_cuml_part);
+		}else{
+			GPU_version<blockSizeLocal*16><<<PGrid,THREADS>>>(x_hat,D_u,norm_s,D_cuml_part);
+		}
+
+		err = cudaThreadSynchronize();
+		if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+		PGrid.x=1;
+		lastStep<<<PGrid,THREADS>>>(x_hat,D_u,norm_s,D_cuml_part,rem_start);
+		err = cudaThreadSynchronize();
+		if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+		//now have all block norms of (x_hat+u) in norm_s
+
+		//now fill in z and get sum of z_norms for sections in z_norm_sum
+		PGrid.x=num_blx;
+		if(adj_size==1){
+			adj_z_shrink<blockSizeLocal><<<PGrid,THREADS>>>(norm_s,x_hat,D_u,D_z,D_cuml_part,t_obj_arr,kappa);
+		}else if(adj_size==2){
+			adj_z_shrink<blockSizeLocal*2><<<PGrid,THREADS>>>(norm_s,x_hat,D_u,D_z,D_cuml_part,t_obj_arr,kappa);
+		}else if(adj_size==3){
+			adj_z_shrink<blockSizeLocal*4><<<PGrid,THREADS>>>(norm_s,x_hat,D_u,D_z,D_cuml_part,t_obj_arr,kappa);
+		}else if(adj_size==4){
+			adj_z_shrink<blockSizeLocal*8><<<PGrid,THREADS>>>(norm_s,x_hat,D_u,D_z,D_cuml_part,t_obj_arr,kappa);
+		}else{
+			adj_z_shrink<blockSizeLocal*16><<<PGrid,THREADS>>>(norm_s,x_hat,D_u,D_z,D_cuml_part,t_obj_arr,kappa);
+		}
+		err = cudaThreadSynchronize();
+		if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+		PGrid.x=1;
+
+		lastStep_z<<<PGrid,THREADS>>>(norm_s,x_hat,D_u,D_z,D_cuml_part,t_obj_arr,kappa,rem_start,z_norm_sum);
+		err = cudaThreadSynchronize();
+		if(err!=CUDA_SUCCESS){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+		//End partition loop, updated vector z by section and got the sum of the norms of Z into d_obj for later use by objective
+}
+
+
diff --git a/GroupMextest/GLmex.cpp b/GroupMextest/GLmex.cpp
new file mode 100644
index 0000000..98e2b00
--- /dev/null
+++ b/GroupMextest/GLmex.cpp
@@ -0,0 +1,506 @@
+#include <cstring>
+#include <cmath>
+#include "stdafx.h"
+#include "stdio.h"
+#include "mex.h"
+#include "matrix.h"
+#include <cuda.h>//CUDA version 5.0 SDK, 64 bit
+//#include <math_functions.h>
+#include <cublas_v2.h>
+#include "cuda_runtime.h"
+#include "device_launch_parameters.h"
+#include <ctime>
+#include <cassert>
+
+#define _DTH cudaMemcpyDeviceToHost
+#define _DTD cudaMemcpyDeviceToDevice
+#define _HTD cudaMemcpyHostToDevice
+
+//make sure these match the .cu THREADS and BLOCK_SIZE
+#define CPPTHREADS 64//This is 64 due to expectation that data sets will be small, if (m*n)>= 1e6 then use 256 THREADS(adjust here and in .cu file)
+#define CPPBLOCK_SIZE 16
+#define MEGA (1<<12)
+
+const int blockSize0=128;//
+
+void inline checkError(cublasStatus_t status, const char *msg){if (status != CUBLAS_STATUS_SUCCESS){printf("%s", msg);exit(EXIT_FAILURE);}}
+
+//NOTE: all cublas calls are done in this cpp, and all CUDA kernels are in GLcuda.cu, and accessed via extern "C"
+// using wraps for all GPU kernel calls
+
+extern "C" void generateEye_wrap(float *E, const int N,const int numBlocks);
+extern "C" void gpu_inplace_vector_scale_wrap(float *V, const int size,const float _s,const int numBlocks);
+extern "C" void gpu_vector_add_wrap(const float *a, const float *b, float *result, const int size, const bool add,const int numBlocks);
+extern "C" void gpu_lasso_u_update_wrap(float *u,const float *xh, const float *z,const int size,const int numBlocks);
+extern "C" void gpu_lasso_objective_helper_wrap(float *v0,const float *v1,const int size,const int numBlocks);
+extern "C" void gpu_lasso_h_helper_wrap(const float *z, const float *zold, float *v_result,const float _rho,const int size,const int numBlocks);
+extern "C" void gpu_group_lasso_shrinkage_wrap(const float *x, float *z_result,const float kappa,const float e_norm,const int size,const int numBlocks);
+extern "C" void d_choldc_topleft_wrap(float *M, int boffset,const int N,const dim3 t_block);
+extern "C" void d_choldc_strip_wrap(float *M, int boffset,const int N,const dim3 stripgrid,const dim3 t_block);
+extern "C" void z_shrinkage_wrap(float *D_z,const float *x_hat, const float *D_u,float *norm_s, float *t_obj_arr, float *z_norm_sum,
+	const int adj_size,dim3 &PGrid, const int *D_cuml_part, const int rem_start, const float kappa,const int num_blx,
+	cudaError_t &err);
+
+inline int get_adj_size(int num_elem){
+	float p=float(num_elem)/float(MEGA);
+	if(p>0.8f)return 5;
+	else if(p>0.6f)return 4;
+	else if(p>0.4f)return 3;
+	else if(p>0.2f)return 2;
+	else
+		return 1;
+}
+inline int get_dynamic_block_size(const int adj_size,const int blkSize){return (1<<(adj_size-1))*blkSize;}
+
+void mexFunction(int nlhs, mxArray *plhs[], int nrhs, mxArray const *prhs[]){//will take in 11 inputs and return 2 outputs
+	/*inputs are (in order)
+	0) Matrix A (m,n) single precision floating point numbers (32 bit) in DENSE form AND must be passed into mex in TRANSPOSE form due to row-major format(will adjust m and n internally)
+	1) vector b (m,1) single precision floating point numbers
+	2) vector p (Psize length) 32 bit integer of K(Psize) length (partitions)
+	3) vector u (n,1) single precision floating point numbers
+	4) vector z (n,1) single precision floating point numbers
+	5) float (single) rho
+	6) float (single) alpha
+	7) float (single) lambda
+	8) integer max_iter
+	9) float (single) abstol
+	10) float (single) reltol
+
+	outputs are (in order)
+	0) vector u (n,1) single precision floating point numbers
+	1) vector z (n,1) single precision floating point numbers
+	*/
+
+	//error checking, disable(comment out) if you are sure you are passing in the correct types
+	if(nrhs!=11)mexErrMsgTxt("Wrong number of input arguments.");
+	if(nlhs!=2)mexErrMsgTxt("Too many output arguments.");
+	if(!mxIsSingle(prhs[0]))mexErrMsgTxt("Matrix A needs to be of type single.");
+	if(!mxIsSingle(prhs[1]))mexErrMsgTxt("vector b needs to be of type single.");
+	if(!mxIsInt32(prhs[2]))mexErrMsgTxt("partition vector needs to be of type int32.");
+	if(!mxIsSingle(prhs[3]))mexErrMsgTxt("vector u needs to be of type single.");
+	if(!mxIsSingle(prhs[4]))mexErrMsgTxt("vector z needs to be of type single.");
+	
+	//get parameters of inputs
+
+	float *A=(float *)mxGetPr(prhs[0]);//matrix A in MATLAB column-major format
+	float *b=(float *)mxGetPr(prhs[1]);//vector b
+	int *p=(int *)mxGetPr(prhs[2]);
+	float *u=(float *)mxGetPr(prhs[3]);//vector u
+	float *z=(float *)mxGetPr(prhs[4]);//vector z
+
+	const int Arows=mxGetN(prhs[0]);//since this Group Lasso solver internally uses row major, need to pass in input A as A' from Matlab, then swap (m,n)
+	const int Acols=mxGetM(prhs[0]);//ditto, swaping due to A' being passed in to mex interface
+	//printf("Arows=%d Acols=%d\n",Arows,Acols);
+	const int Psize=mxGetM(prhs[2]);
+	const float _rho=(float)mxGetScalar(prhs[5]);
+	const float _alpha=(float)mxGetScalar(prhs[6]);
+	const float _lambda=(float)mxGetScalar(prhs[7]);
+	const int max_iter=(int)mxGetScalar(prhs[8]);
+	const float abstol=(float)mxGetScalar(prhs[9]);
+	const float reltol=(float)mxGetScalar(prhs[10]);
+
+
+	cublasHandle_t handle;//init cublas_v2
+	cublasStatus_t cur;
+	cur = cublasCreate(&handle);
+	if (cur != CUBLAS_STATUS_SUCCESS){
+		printf("cublasCreate returned error code %d, line(%d)\n", cur, __LINE__);
+		exit(EXIT_FAILURE);
+	}
+
+	int tot=0,max_block_size=1;
+	int *cum_part=(int *)malloc(Psize*sizeof(int));
+	for(int i=0;i<Psize;i++){
+		tot+=p[i];
+		cum_part[i]=tot;
+		max_block_size=max(max_block_size,p[i]+1);//
+	}
+	if(tot!=Acols){
+		printf("invalid partition! %d\n",tot);
+		free(cum_part);
+		return;
+	}
+	
+	const float _beta=0.0f,t_alphA=1.0f;
+	const unsigned int numbytesM=Arows*Acols*sizeof(float),numbytesVC=Acols*sizeof(float),numbytesVR=Arows*sizeof(float);
+
+	float *D_A,*D_b,*D_xresult,*D_Atb,*D_u,*D_z,*tempvecC,*tempvecC2,*tempvecR,*x_hat,*L,*tmpM2;
+	float *norm_s, *t_obj_arr,*z_norm_sum;
+	int *D_cuml_part;
+	//allocate all device memory
+    cudaError_t err=cudaMalloc((void **)&D_A,numbytesM);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&D_b,numbytesVR);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&D_xresult,numbytesVC);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&D_Atb,numbytesVC);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&D_u,numbytesVC);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&D_z,numbytesVC);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&tempvecC,numbytesVC);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&tempvecC2,numbytesVC);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&tempvecR,numbytesVR);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&x_hat,numbytesVC);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+	const int num_k_bytes=Psize*sizeof(float);
+	const int adj_size=get_adj_size(max_block_size);
+	const int temp_blocks_sz=get_dynamic_block_size(adj_size,blockSize0);
+	const int num_blx=max(1,max_block_size/temp_blocks_sz);
+
+	const int rem_start=(max_block_size-(max_block_size-num_blx*temp_blocks_sz));//careful
+	assert(rem_start>0);
+	dim3 PGrid(num_blx,Psize,1);
+	
+	err=cudaMalloc((void **)&norm_s,num_k_bytes);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&t_obj_arr,num_k_bytes);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&z_norm_sum,sizeof(float));
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&D_cuml_part,Psize*sizeof(int));
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+	//note: if 'skinny' the the dim of L and U will be Acols x Acols, otherwise the dim of L and U will be Arows x Arows
+	const bool skinny= (Arows>=Acols);
+	const int N= (skinny) ? Acols:Arows;
+	const int numBytesT=N*N*sizeof(float),numBlocks=((N*N + CPPTHREADS-1)/CPPTHREADS);
+	
+	err=cudaMalloc((void **)&L,numBytesT);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMalloc((void **)&tmpM2,numBytesT);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+	generateEye_wrap(tmpM2,N,numBlocks);
+
+	err=cudaMemcpy(L,tmpM2,numBytesT,_DTD);//copy eye matrix for inversion use to L
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+	err=cudaMemcpy(D_A,A,numbytesM,_HTD);//D_A gets A's vals
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMemcpy(D_b,b,numbytesVR,_HTD);//copy over vector b
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMemcpy(D_u,u,numbytesVC,_HTD);//copy over vector u
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMemcpy(D_z,z,numbytesVC,_HTD);//copy over vector z
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMemcpy(D_cuml_part,cum_part,Psize*sizeof(int),_HTD);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+	err=cudaMemset(D_xresult,0,numbytesVC);//start x off with zeros
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	//now all device memory allocated, copied and set to initial values
+
+	//Atb = A'*b;
+	cur=cublasSgemv_v2(handle,CUBLAS_OP_N,Acols,Arows,&t_alphA,D_A,Acols,D_b,1,&_beta,D_Atb,1);//Atb=AT*b,since D_A starts in row-major, not need to tranpose
+	if (cur != CUBLAS_STATUS_SUCCESS){
+		printf("error code %d, line(%d)\n", cur, __LINE__);
+        exit(EXIT_FAILURE);
+	}
+
+	//verified for rect
+	if(skinny){//A'*A + rho*eye(n)
+		cur=cublasSgemm_v2(handle,CUBLAS_OP_N,CUBLAS_OP_T,Acols,Acols,Arows,&t_alphA,D_A,Acols,D_A,Acols,&_rho,tmpM2,Acols);//tmpM2=AT*A+rho*eyeMatrix(tmpM2)
+		if(cur != CUBLAS_STATUS_SUCCESS){
+			printf("error code %d, line(%d)\n", cur, __LINE__);
+			exit(EXIT_FAILURE);
+		}
+	}else{//speye(m) + 1/rho*(A*A')
+		float _InvRho=1.0f/_rho;
+		cur=cublasSgemm_v2(handle,CUBLAS_OP_T,CUBLAS_OP_N,Arows,Arows,Acols,&_InvRho,D_A,Acols,D_A,Acols,&t_alphA,tmpM2,Arows);//tmpM2=1/rho*(A*AT)+eye(Arows)
+		if(cur != CUBLAS_STATUS_SUCCESS){
+			printf("error code %d, line(%d)\n", cur, __LINE__);
+			exit(EXIT_FAILURE);
+		}
+	}
+	//tmpM2 will act as  A'*A + rho*eye(n) if skinny, or as  eye(m) + 1/rho*(A*A') if fat
+
+	//Now cholesky factor of tmpM2
+	dim3 threads(CPPBLOCK_SIZE,CPPBLOCK_SIZE);
+	int todo=(N/CPPBLOCK_SIZE);//must be multiple of 16, padded otherwise
+	int reps=todo,k=CPPBLOCK_SIZE;
+	float al=-1.0f,ba=1.0f;
+	int n,rloc,cloc,cloc2;
+	dim3 stripgrid(1,1,1);
+	while(reps>2){
+		stripgrid.x=reps-1;
+		d_choldc_topleft_wrap(tmpM2,todo-reps,N,threads);//d_choldc_topleft<<<1,threads>>>(tmpM2,todo-reps,N)
+		d_choldc_strip_wrap(tmpM2,todo-reps,N,stripgrid,threads);//d_choldc_strip<<<stripgrid,threads>>>(tmpM2,todo-reps,N)
+		n=CPPBLOCK_SIZE*(reps-1);
+		rloc=(CPPBLOCK_SIZE*(todo-reps+1))*N;
+		cloc=CPPBLOCK_SIZE*(todo-reps);
+		cloc2=CPPBLOCK_SIZE*(todo-reps+1);
+		cur=cublasSsyrk_v2(handle,CUBLAS_FILL_MODE_UPPER,CUBLAS_OP_T,n,k,&al,(float *)&tmpM2[rloc+cloc],N,&ba,(float *)&tmpM2[rloc+cloc2],N);
+		if(cur!=CUBLAS_STATUS_SUCCESS){
+			printf("cublas returned error code %d, line(%d)\n", cur, __LINE__);
+		}
+		reps--;
+	}
+	if(todo>1){
+		stripgrid.x=1;
+		d_choldc_topleft_wrap(tmpM2,todo-2,N,threads);//d_choldc_topleft<<<1,threads>>>(tmpM2,todo-2,N)
+		d_choldc_strip_wrap(tmpM2,todo-2,N,stripgrid,threads);//d_choldc_strip<<<1,threads>>>(tmpM2,todo-2,N)
+		cur=cublasSsyrk_v2(handle,CUBLAS_FILL_MODE_UPPER,CUBLAS_OP_T,k,k,&al,(float *)&tmpM2[(k*(todo-1))*N +(k*(todo-2))],N,&ba,(float *)&tmpM2[(k*(todo-1))*N +(k*(todo-1))],N);
+		if(cur!=CUBLAS_STATUS_SUCCESS){
+			printf("cublas returned error code %d, line(%d)\n", cur, __LINE__);
+		}
+	}
+	d_choldc_topleft_wrap(tmpM2,todo-1,N,threads);//d_choldc_topleft<<<1,threads>>>(tmpM2,todo-1,N)
+
+	//now solve for inv(tmpM2) and store in L using cuBLAS
+	cur=cublasStrsm_v2(handle,CUBLAS_SIDE_LEFT,CUBLAS_FILL_MODE_UPPER,CUBLAS_OP_N,CUBLAS_DIAG_NON_UNIT,N,N,&t_alphA,tmpM2,N,L,N);
+	if(cur!=CUBLAS_STATUS_SUCCESS){printf("error code %d, line(%d)\n", cur, __LINE__);exit(EXIT_FAILURE);}
+    
+	//now L is inverse of cholesky factor, will be used in loop below
+	//now declare all variable which will be used in main solver loop
+	const int num_v_blocks=(Acols+CPPTHREADS-1)/CPPTHREADS,num_vr_blocks=(Arows+CPPTHREADS-1)/CPPTHREADS;
+	const float t_alpha=1.0f,t_beta=0.0f,neg_alpha=(1.0f-_alpha),neg=-1.0f,c0=sqrt(float(Acols))*abstol;
+
+	//these will be updated within loop so no init is required
+	float t_c,d_obj,history_obj,obj_p0,history_r_norm,history_s_norm,history_eps_pri,nx,nnegz,history_eps_dual,nru;
+
+	//MAIN LOOP
+	for(int i=1;i<=max_iter;i++){//use max_iter parameter passed into function
+
+		err=cudaMemcpy(tempvecC,D_z,numbytesVC,cudaMemcpyDeviceToDevice);//copy z into tempvecC
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+		cur=cublasSaxpy_v2(handle,Acols,&neg,D_u,1,tempvecC,1);//tempvecC now has result of (z-u),or -1*u + z
+		if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+		err=cudaMemcpy(tempvecC2,D_Atb,numbytesVC,cudaMemcpyDeviceToDevice);//copy Atb into tempvecC2
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+		cur=cublasSaxpy_v2(handle,Acols,&_rho,tempvecC,1,tempvecC2,1);//now tempvecC2 has result of Atb + rho*(z - u), ( vector q in stanford ADMM)
+		if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+		//q or tempvecC2 will be Acols length
+		
+		if(skinny){
+			cur=cublasSgemv_v2(handle,CUBLAS_OP_T,Acols,Acols,&t_alpha,L,Acols,tempvecC2,1,&t_beta,tempvecC,1);//tmpvecC=inv(L) * vector q(tempvec2)
+			if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+			cur=cublasSgemv_v2(handle,CUBLAS_OP_N,Acols,Acols,&t_alpha,L,Acols,tempvecC,1,&t_beta,D_xresult,1);//x= U \ (L \ q) or x=inv(U)*(inv(L)*q
+			if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+		}else{//careful here.. x = q/rho - (A'*(U \ ( L \ (A*q) )))/rho^2 , will start at innermost bracket (A*q) and work way out
+			cur=cublasSgemv_v2(handle,CUBLAS_OP_T,Acols,Arows,&t_alpha,D_A,Acols,tempvecC2,1,&t_beta,tempvecR,1);//tmpvecR=A * vector q(tempvec2)
+			if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+			//v
+			cur=cublasSgemv_v2(handle,CUBLAS_OP_T,Arows,Arows,&t_alpha,L,Arows,tempvecR,1,&t_beta,D_xresult,1);//now D_xresult will be temp vec which=inv(L)*tmpmvec2(A*q)
+			if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+			//v
+			cur=cublasSgemv_v2(handle,CUBLAS_OP_N,Arows,Arows,&t_alpha,L,Arows,D_xresult,1,&t_beta,tempvecR,1);//now tempvecC will be temp vec which=inv(U)*inv(L)*tmpmvec2(A*q)
+			if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+			//v
+			cur=cublasSgemv_v2(handle,CUBLAS_OP_N,Acols,Arows,&t_alpha,D_A,Acols,tempvecR,1,&t_beta,D_xresult,1);//now D_xresult will be temp vec which=AT*inv(U)*inv(L)*tmpmvec2(A*q)
+			if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+			//v
+			t_c= -(1.0f/(_rho*_rho));
+			cur=cublasSscal_v2(handle,Acols,&t_c,D_xresult,1);//scale D_xresult by -1/rho^2
+			if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+			t_c=(1.0f/_rho);
+			cur=cublasSaxpy_v2(handle,Acols,&t_c,tempvecC2,1,D_xresult,1);// D_xresult=q/rho+ D_xresult
+			if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+			//v
+		}
+		//verified 
+		err=cudaMemcpy(tempvecC,D_z,numbytesVC,cudaMemcpyDeviceToDevice);//copy z into tempvecC,will act as 'zold'
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+		err=cudaMemcpy(x_hat,D_xresult,numbytesVC,cudaMemcpyDeviceToDevice);//set x_hat to cur val xresult
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+		//for kernel calls related to the vectors
+
+		gpu_inplace_vector_scale_wrap(x_hat,Acols,_alpha,num_v_blocks);//gpu_inplace_vector_scale<<<num_v_blocks,THREADS>>>(x_hat,Acols,_alpha);//xhat*=alpha
+		
+		cur=cublasSaxpy_v2(handle,Acols,&neg_alpha,tempvecC,1,x_hat,1);//x_hat+=(1-alpha)*(tempvecC);
+		if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+
+		//verified
+		//here is the loop which differentiates the group lasso from the lasso,tempvecC2 will store the sectional results used in updating D_z
+		t_c=_lambda/_rho;//kappa
+		err=cudaMemset(norm_s,0,num_k_bytes);
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+		err=cudaMemset(t_obj_arr,0,num_k_bytes);
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+		err=cudaMemset(z_norm_sum,0,sizeof(float));
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+		//call helper
+		z_shrinkage_wrap(D_z,x_hat,D_u,norm_s,t_obj_arr,z_norm_sum,adj_size,PGrid,D_cuml_part,rem_start,t_c,num_blx,err);
+
+		//updated z by section in parallel and copy back z_norm_sum to host
+
+		err=cudaMemcpy(&d_obj,z_norm_sum,sizeof(float),_DTH);
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+		//
+		
+		gpu_lasso_u_update_wrap(D_u,x_hat,D_z,Acols,num_v_blocks);//gpu_lasso_u_update<<<num_v_blocks,THREADS>>>(D_u,x_hat,D_z,Acols);//u = u + (x_hat - z);
+		//verified
+		// now compute objective value in two parts, needs to be optimized. Does not directly affect output vector x
+		//this calculation differs from the regular lasso as well
+		obj_p0=0.0f;
+		history_obj=0.0f;
+		ba=0.0f;
+		//same as lasso, but the z portion of objective is different due to blocks/partitioning
+		cur=cublasSgemv_v2(handle,CUBLAS_OP_T,Acols,Arows,&t_alpha,D_A,Acols,D_xresult,1,&ba,tempvecR,1);//tempvecR=A*x_result, size Arows
+		if(cur != CUBLAS_STATUS_SUCCESS){
+			printf("error code %d, line(%d)\n", cur, __LINE__);
+			exit(EXIT_FAILURE);
+		}
+
+		gpu_lasso_objective_helper_wrap(tempvecR,D_b,Arows,num_vr_blocks);//_gpu_lasso_objective_helper<<<num_vr_blocks,THREADS>>>(tempvecR,D_b,Arows);//tempvecR will have vector result of (A*x-b).^2
+		
+		cur=cublasSasum_v2(handle,Arows,tempvecR,1,&obj_p0);//sum up ((A*x - b).^2), can use asum because all values of tempvecC2 are positive
+		if(cur != CUBLAS_STATUS_SUCCESS){
+			printf("error code %d, line(%d)\n", cur, __LINE__);
+			exit(EXIT_FAILURE);
+		}
+		history_obj=0.5f*obj_p0+_lambda*d_obj;//gpu objective=( 1/2*sum((A*x - b).^2) + lambda*obj )
+		al=-1.0f;
+
+		//history.r_norm(k)  = norm(x - z);
+		history_r_norm=0.0f;
+		err=cudaMemcpy(tempvecC2,D_xresult,numbytesVC,cudaMemcpyDeviceToDevice);//tempvecC2 will have a copy of d_z
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+		cur=cublasSaxpy_v2(handle,Acols,&neg,D_z,1,tempvecC2,1);//tempvecC2 has the result of (x-z) or (-z+x)
+		if(cur != CUBLAS_STATUS_SUCCESS){
+				printf("error code %d, line(%d)\n", cur, __LINE__);
+				exit(EXIT_FAILURE);
+			}
+
+		cur=cublasSnrm2_v2(handle,Acols,tempvecC2,1,&history_r_norm);//get gpu euclid norm
+		if(cur != CUBLAS_STATUS_SUCCESS){
+			printf("error code %d, line(%d)\n", cur, __LINE__);
+			exit(EXIT_FAILURE);
+		}
+		//verified
+		//history.s_norm(k)  = norm(-rho*(z - zold));
+		history_s_norm=0.0f;
+		
+		gpu_lasso_h_helper_wrap(D_z,tempvecC,tempvecC2,_rho,Acols,num_v_blocks);//gpu_lasso_h_helper<<<num_v_blocks,THREADS>>>(D_z,tempvecC,tempvecC2,_rho,Acols);//tempvecC2 will have result of -rho*(z - zold)
+		
+		cur=cublasSnrm2_v2(handle,Acols,tempvecC2,1,&history_s_norm);//get gpu euclid norm
+		if(cur != CUBLAS_STATUS_SUCCESS){
+			printf("error code %d, line(%d)\n", cur, __LINE__);
+			exit(EXIT_FAILURE);
+		}
+		//verified
+		//history.eps_pri(k) = sqrt(n)*ABSTOL + RELTOL*max(norm(x), norm(-z));
+		history_eps_pri=0.0f;
+		nx=0.0f;
+		nnegz=0.0f;
+		cur=cublasSnrm2_v2(handle,Acols,D_xresult,1,&nx);//get gpu euclid norm
+		if(cur != CUBLAS_STATUS_SUCCESS){
+			printf("error code %d, line(%d)\n", cur, __LINE__);
+			exit(EXIT_FAILURE);
+		}
+		cur=cublasSnrm2_v2(handle,Acols,D_z,1,&nnegz);//get gpu euclid norm
+		if(cur != CUBLAS_STATUS_SUCCESS){
+			printf("error code %d, line(%d)\n", cur, __LINE__);
+			exit(EXIT_FAILURE);
+		}
+		history_eps_pri=c0+reltol*max(nx,nnegz);
+		//verified
+		//history.eps_dual(k)= sqrt(n)*ABSTOL + RELTOL*norm(rho*u)
+		history_eps_dual=0.0f;
+		nru=0.0f;
+		err=cudaMemcpy(tempvecC2,D_u,numbytesVC,cudaMemcpyDeviceToDevice);//tempvecC2 will have value of vector u(device)
+		if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+		gpu_inplace_vector_scale_wrap(tempvecC2,Acols,_rho,num_v_blocks);//gpu_inplace_vector_scale<<<num_v_blocks,THREADS>>>(tempvecC2, Acols,_rho);//u*rho
+		cur=cublasSnrm2_v2(handle,Acols,tempvecC2,1,&nru);//get gpu euclid norm
+		if(cur != CUBLAS_STATUS_SUCCESS){
+			printf("error code %d, line(%d)\n", cur, __LINE__);
+			exit(EXIT_FAILURE);
+		}
+		history_eps_dual=c0+reltol*nru;
+		if(history_r_norm<=history_eps_pri && history_s_norm<=history_eps_dual)break;//termination condition	
+	}
+
+	//create answer for Matlab and copy back vectors u and z
+	plhs[0]=mxCreateNumericMatrix(Acols,1,mxSINGLE_CLASS,mxREAL);
+	plhs[1]=mxCreateNumericMatrix(Acols,1,mxSINGLE_CLASS,mxREAL);
+
+	float *u_result=(float *)mxGetPr(plhs[0]);
+	float *z_result=(float *)mxGetPr(plhs[1]);
+
+	err=cudaMemcpy(u_result,D_u,numbytesVC,_DTH);//copy  u info back to host
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaMemcpy(z_result,D_z,numbytesVC,_DTH);//copy  z info back to host
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+	free(cum_part);//free host memory
+
+	//free all device memory
+	err=cudaFree(D_A);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(D_b);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(D_xresult);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(D_Atb);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(D_u);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(D_z);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(tempvecC);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(tempvecC2);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(tempvecR);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(x_hat);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(L);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(tmpM2);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(norm_s);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(t_obj_arr);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(z_norm_sum);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+	err=cudaFree(D_cuml_part);
+	if(err!=cudaSuccess){printf("%s in %s at line %d\n",cudaGetErrorString(err),__FILE__,__LINE__);}
+
+	checkError(cublasDestroy(handle), "cublasDestroy() error!\n");
+}
+
diff --git a/GroupMextest/GroupLassoSmallData.txt b/GroupMextest/GroupLassoSmallData.txt
new file mode 100644
index 0000000..a253d44
--- /dev/null
+++ b/GroupMextest/GroupLassoSmallData.txt
@@ -0,0 +1,768 @@
+-0.00411345 -0.00411945 0.00588358 -0.00768505 -0.00320888 0.010573 -0.00547508 -0.00164302 0.00174998 -0.00556666 0.00918862 0.0104878 -0.0295469 0.0188985 -0.00465291 -0.0112276 -0.0310944 0.0147239 0.00332646 -0.0251654 -0.0827415 0.0126546 0.082432 -0.0118609 -0.0387732 0.0113818 0.00888719 0.00500237 -0.246415 0.00779594 0.0138664 -0.00333154 0.0769602 0.00794325 -0.0111243 0.007372 0.00283291 -0.00424715 -0.180599 -0.0260113 -0.0128514 0.0147581 0.00562843 0.00532568 -0.0390232 0.0345344 0.0237254 -0.0040611 0.0957501 0.00058455 0.00471016 -0.00258457 -0.0062786 0.010747 0.0293978 -0.00228063 -0.00472627 0.000821537 -0.0150784 -0.0263474 -0.00115901 0.00222298 0.0112044 0.00318767 -0.00246243 0.000415979 -0.0574698 -0.00153194 0.00719336 0.00414229 -0.0126184 -0.0475603 0.00350358 0.0506466 0.00487361 0.00318137 -0.00122327 -0.0154159 -0.0174976 0.00360186 -0.0139604 0.00884064 0.0187502 0.0115463 0.0116748 -0.00769677 -0.00559661 0.0129433 -0.0147128 0.0185338 0.00630161 0.000911602 -0.00747348 -0.000375037 0.00986113 -0.0129216 0.00529587 0.028713 -0.00305737 -0.00684488 0.00818514 0.0101566 -0.012422 -0.0108829 0.0170877 -0.0107571 0.00218053 -0.00952573 0.0373383 -0.0578127 -0.00975896 -0.0149314 -0.00363481 -0.0143883 -0.00871336 0.000555986 -0.0039363 -0.0113322 -0.0524689 -0.0141121 0.000611029 -0.009959 -0.0643963 0.00799938 0.000707286 -0.00707741 -0.018338 -0.0432067
+-0.00850435 -0.0045398 -0.0228242 0.00362531 -0.00328439 0.00721604 0.0046196 0.000611204 0.00544439 0.00694591 0.0087185 -0.0629269 -0.00323382 -0.00419967 -0.0390844 0.23578 0.0083395 -0.0198773 -0.0902896 0.00644234 -0.0400779 0.00857248 0.00575107 0.0035771 0.00822774 -0.000948487 0.052164 -0.00945447 -0.00238466 -0.0540687 -0.0057599 -0.00229044 -0.00712595 0.101497 0.00395529 -0.00869948 0.010698 -0.0560623 -0.00458553 -0.0183157 -0.00403597 -0.0274544 0.0185795 0.0173085 0.00204043 -0.00438898 0.0309462 -0.00184925 -0.0585139 0.00772905 -0.00378978 -0.0059962 0.0254538 -0.00690881 0.0310776 0.0627173 0.0882238 -0.0191692 -0.00236808 0.0099633 -0.019832 0.0116706 0.00796105 -0.00367341 -0.00608364 0.00433311 0.0835925 -0.0136173 -0.269751 -0.0342373 -0.0202703 0.00214021 0.0238243 0.00588319 0.0124548 0.00662785 0.00733961 -0.00833 -0.00364533 0.0112558 -0.0283571 0.000793014 -0.00393944 -0.0603727 0.0232248 0.0125568 -0.00801737 -0.00192544 -0.00973641 -0.00768683 0.00400365 0.00238419 -0.0063592 0.032347 -0.00251106 -0.00355516 -0.0107843 -0.0208822 0.000528435 0.00166844 -0.00520873 0.000988205 -0.00554742 0.041553 -0.00775427 0.00875443 0.0054834 -0.00679149 0.00915575 0.00463738 0.00382012 -0.00376748 -0.00472525 0.0105981 -0.0185159 -0.00218493 -0.0444571 -0.133153 -0.0971646 0.00623902 0.00033946 -0.0040085 -0.00479377 0.00247723 -0.00660134 -0.0113929 0.00880225 -0.025924
+0.0252416 -0.0133969 0.0208157 -0.075637 0.00625597 0.0196591 -0.00136877 -0.0916806 0.0275622 -0.0107854 -0.0076928 -0.0142775 -0.0190625 -0.0129927 0.0105983 0.00521283 0.035996 -0.105644 -0.000750329 -0.00503308 -0.00409398 -0.0114494 0.00990462 0.0542213 0.00298256 -0.0180213 -0.00228217 0.00700331 0.00684485 -0.0251482 0.00266662 -0.00451371 0.211641 0.0432466 0.00719144 -0.0636673 0.000991518 -0.00402746 0.101587 0.0242772 -0.000849677 0.00789657 -0.000540948 0.00726229 0.00672248 0.00885496 0.00246673 0.0091582 0.0113327 -0.00281558 -0.00226272 -0.0118152 -0.00305446 -0.0076939 -0.00849269 -0.0854814 0.0148007 0.00698306 0.00811912 0.00980185 -0.00127491 0.0146478 0.0212884 -0.00539452 -0.00671571 -0.171591 -0.0179956 0.0043405 0.00712913 0.0116502 0.0114166 0.010263 -0.00613126 -0.0273331 -0.00702338 0.000848364 -0.00101939 -0.0160921 0.00504046 0.0236372 0.00945237 0.00960767 -0.00252528 0.0071494 -0.00718864 0.00438027 0.00886131 0.00264749 -0.00964368 -0.27442 0.00984115 -0.00889656 -0.0107312 0.00225022 0.00910259 0.0440293 -0.047451 -0.00555735 -0.00629008 0.0064513 -0.0306013 -0.0302638 -0.00227736 -0.0129046 0.0490416 0.010986 0.098124 -0.00106859 -0.0798267 0.0111297 -0.0289879 -0.00287793 0.010381 0.00829446 0.00437021 0.00997924 0.00175488 -0.00644763 -0.013603 0.0640613 0.00458272 -0.00241314 -0.0023691 0.00268779 -0.0253739 -0.217501 -0.0493716 -0.00807398
+0.00762858 0.00547298 -0.00899927 -0.0104557 -0.00459108 0.00601337 -0.00355354 0.00597917 0.00890901 0.162825 0.00615424 0.00971665 0.00683765 -0.0101492 -0.0089479 -0.0180444 0.0464629 0.00700859 0.0213844 -0.103178 -0.0199466 -0.0122931 0.0316309 -0.0167747 -0.00701778 -0.0109938 -0.013367 -0.000700331 0.0105606 0.0100593 0.00106665 -0.00896071 -0.0141094 0.00539356 0.00719144 0.00713419 0.00351829 -0.0342603 0.00334444 0.00225385 -0.00101592 -0.0334227 -0.0077085 0.00983202 -0.00550915 -0.00403054 0.018052 -0.0604089 -0.111708 -0.00324875 0.164855 -0.000344609 -0.0095826 -0.00901286 -0.000904547 0.0114777 -0.00871565 0.00958459 0.00712204 -0.00420079 -0.00254982 0.00557882 0.00803796 0.00566257 0.0181841 -0.0106595 0.0066874 -0.00974872 -0.00186035 -0.0026629 0.0181734 -0.190241 -0.0752101 0.0326389 0.0140116 0.0243905 0.0309895 -0.00772419 0.0129612 -0.021386 0.00641117 0.00683212 -0.0077923 -0.00150932 -0.0201655 0.00483582 0.00443065 0.0661872 0.00121164 -0.00595729 0.0122118 -0.0116229 -0.00306604 0.00918842 0.00910259 0.000957159 0.00494281 0.00957099 0.00105687 0.00695183 0.00520873 0.00644482 -0.00483501 -0.00327511 -0.0348589 -0.0118648 -0.00784992 0.0016207 0.0144203 -0.00056311 0.00866749 0.00336718 -0.041558 0.0365633 -0.00462897 0.0198133 0.0296381 -0.0190219 -0.00470151 -0.00437686 0.00114568 -0.00829344 0.00598556 -0.00617095 -0.0177411 0.000863099 0.124134 0.00795397
+0.0097227 -0.00529643 -0.0071633 0.00787173 0.0139338 0.00210258 -0.11703 -0.00509337 -0.00340275 0.0149604 -0.00647815 0.0262476 0.00748885 -0.0175486 0.0105748 -0.0157889 0.00995634 0.00257669 0.0136622 0.0289402 -0.0108598 0.00411431 -0.0149528 0.0131566 -0.0208779 -0.000632325 0.0116183 0.00656561 -0.0262842 -0.0352075 -0.0666655 -0.0374799 0.0368768 0.0110323 0.0135963 -0.0522742 0.0055525 0.00678173 -0.0137958 -0.00733652 0.0163563 0.0121537 0.000856501 -0.0372798 -0.00137729 0.0119542 -0.040402 0.00678059 0.00775753 -0.00331245 -0.00808115 0.00775371 -0.0432714 -0.00483617 0.0235182 -0.00278744 -0.0011028 -0.00760584 0.0108255 -0.00470489 0.0014874 -0.000952706 -0.00530736 0.000577984 0.00277023 0.00368314 0.0124808 0.074895 -0.00294274 -0.00680519 -0.0174744 -0.00898361 -0.00811213 -0.0647151 -0.136113 0.00220928 0.0220188 0.002975 0.011341 0.00821012 -0.0141786 0.0131473 -0.0252528 -0.00371939 -0.00295761 0.015769 0.0487372 0.00126071 -0.0131816 -0.00148435 0.0448614 0.000491976 -0.00643869 0.064694 0.00158306 -0.00499387 0.00494281 0.0215347 -0.00275342 0.0083422 0.0303842 -0.00247051 0.00744522 -0.00356168 -0.0102215 0.0271902 0.00310726 0.00297679 -0.00797437 -0.00485141 -0.00934805 -0.00438331 0.0122728 0.00338549 0.0105805 -0.00498962 -0.0422342 0.00868802 -0.00129553 -0.00512491 -0.0336066 -0.00180986 0.00860356 0.00933261 -0.00272305 -0.0372859 -0.0225699 0.000392788
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\ No newline at end of file
diff --git a/GroupMextest/GroupMextest.cpp b/GroupMextest/GroupMextest.cpp
new file mode 100644
index 0000000..edb0a81
--- /dev/null
+++ b/GroupMextest/GroupMextest.cpp
@@ -0,0 +1,63 @@
+// GroupMextest.cpp : Defines the initialization routines for the DLL.
+//
+
+#include "stdafx.h"
+#include "GroupMextest.h"
+
+#ifdef _DEBUG
+#define new DEBUG_NEW
+#endif
+
+//
+//TODO: If this DLL is dynamically linked against the MFC DLLs,
+//		any functions exported from this DLL which call into
+//		MFC must have the AFX_MANAGE_STATE macro added at the
+//		very beginning of the function.
+//
+//		For example:
+//
+//		extern "C" BOOL PASCAL EXPORT ExportedFunction()
+//		{
+//			AFX_MANAGE_STATE(AfxGetStaticModuleState());
+//			// normal function body here
+//		}
+//
+//		It is very important that this macro appear in each
+//		function, prior to any calls into MFC.  This means that
+//		it must appear as the first statement within the 
+//		function, even before any object variable declarations
+//		as their constructors may generate calls into the MFC
+//		DLL.
+//
+//		Please see MFC Technical Notes 33 and 58 for additional
+//		details.
+//
+
+// CGroupMextestApp
+
+BEGIN_MESSAGE_MAP(CGroupMextestApp, CWinApp)
+END_MESSAGE_MAP()
+
+
+// CGroupMextestApp construction
+
+CGroupMextestApp::CGroupMextestApp()
+{
+	// TODO: add construction code here,
+	// Place all significant initialization in InitInstance
+}
+
+
+// The one and only CGroupMextestApp object
+
+CGroupMextestApp theApp;
+
+
+// CGroupMextestApp initialization
+
+BOOL CGroupMextestApp::InitInstance()
+{
+	CWinApp::InitInstance();
+
+	return TRUE;
+}
diff --git a/GroupMextest/GroupMextest.def b/GroupMextest/GroupMextest.def
new file mode 100644
index 0000000..9c39c11
--- /dev/null
+++ b/GroupMextest/GroupMextest.def
@@ -0,0 +1,6 @@
+; GroupMextest.def : Declares the module parameters for the DLL.
+
+LIBRARY "GLmex"
+
+EXPORTS
+    mexFunction
diff --git a/GroupMextest/GroupMextest.h b/GroupMextest/GroupMextest.h
new file mode 100644
index 0000000..2600e4d
--- /dev/null
+++ b/GroupMextest/GroupMextest.h
@@ -0,0 +1,27 @@
+// GroupMextest.h : main header file for the GroupMextest DLL
+//
+
+#pragma once
+
+#ifndef __AFXWIN_H__
+	#error "include 'stdafx.h' before including this file for PCH"
+#endif
+
+#include "resource.h"		// main symbols
+
+
+// CGroupMextestApp
+// See GroupMextest.cpp for the implementation of this class
+//
+
+class CGroupMextestApp : public CWinApp
+{
+public:
+	CGroupMextestApp();
+
+// Overrides
+public:
+	virtual BOOL InitInstance();
+
+	DECLARE_MESSAGE_MAP()
+};
diff --git a/GroupMextest/GroupMextest.rc b/GroupMextest/GroupMextest.rc
new file mode 100644
index 0000000..d51c6e0
Binary files /dev/null and b/GroupMextest/GroupMextest.rc differ
diff --git a/GroupMextest/GroupMextest.vcxproj b/GroupMextest/GroupMextest.vcxproj
new file mode 100644
index 0000000..f0e9e60
--- /dev/null
+++ b/GroupMextest/GroupMextest.vcxproj
@@ -0,0 +1,228 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup Label="ProjectConfigurations">
+    <ProjectConfiguration Include="Debug|Win32">
+      <Configuration>Debug</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Debug|x64">
+      <Configuration>Debug</Configuration>
+      <Platform>x64</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Release|Win32">
+      <Configuration>Release</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Release|x64">
+      <Configuration>Release</Configuration>
+      <Platform>x64</Platform>
+    </ProjectConfiguration>
+  </ItemGroup>
+  <PropertyGroup Label="Globals">
+    <ProjectGuid>{D0CD4FE5-E85A-4926-BB0C-06FD5504393B}</ProjectGuid>
+    <RootNamespace>GroupMextest</RootNamespace>
+    <Keyword>MFCDLLProj</Keyword>
+  </PropertyGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'" Label="Configuration">
+    <ConfigurationType>DynamicLibrary</ConfigurationType>
+    <UseDebugLibraries>true</UseDebugLibraries>
+    <CharacterSet>Unicode</CharacterSet>
+    <UseOfMfc>Dynamic</UseOfMfc>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'" Label="Configuration">
+    <ConfigurationType>DynamicLibrary</ConfigurationType>
+    <UseDebugLibraries>true</UseDebugLibraries>
+    <CharacterSet>Unicode</CharacterSet>
+    <UseOfMfc>Dynamic</UseOfMfc>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'" Label="Configuration">
+    <ConfigurationType>DynamicLibrary</ConfigurationType>
+    <UseDebugLibraries>false</UseDebugLibraries>
+    <WholeProgramOptimization>true</WholeProgramOptimization>
+    <CharacterSet>Unicode</CharacterSet>
+    <UseOfMfc>Dynamic</UseOfMfc>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'" Label="Configuration">
+    <ConfigurationType>DynamicLibrary</ConfigurationType>
+    <UseDebugLibraries>false</UseDebugLibraries>
+    <WholeProgramOptimization>true</WholeProgramOptimization>
+    <CharacterSet>Unicode</CharacterSet>
+    <UseOfMfc>Dynamic</UseOfMfc>
+  </PropertyGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
+  <ImportGroup Label="ExtensionSettings">
+    <Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA 5.0.props" />
+  </ImportGroup>
+  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <ImportGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'" Label="PropertySheets">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <ImportGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'" Label="PropertySheets">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <PropertyGroup Label="UserMacros" />
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <LinkIncremental>true</LinkIncremental>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
+    <LinkIncremental>true</LinkIncremental>
+    <IncludePath>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v5.0\include;$(IncludePath)</IncludePath>
+    <LibraryPath>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v5.0\lib\x64;$(LibraryPath)</LibraryPath>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
+    <LinkIncremental>false</LinkIncremental>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
+    <LinkIncremental>false</LinkIncremental>
+  </PropertyGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <ClCompile>
+      <PrecompiledHeader>Use</PrecompiledHeader>
+      <WarningLevel>Level3</WarningLevel>
+      <Optimization>Disabled</Optimization>
+      <PreprocessorDefinitions>WIN32;_WINDOWS;_DEBUG;_USRDLL;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+    </ClCompile>
+    <Link>
+      <SubSystem>Windows</SubSystem>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <ModuleDefinitionFile>.\GroupMextest.def</ModuleDefinitionFile>
+    </Link>
+    <Midl>
+      <MkTypLibCompatible>false</MkTypLibCompatible>
+      <PreprocessorDefinitions>_DEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+    </Midl>
+    <ResourceCompile>
+      <Culture>0x0409</Culture>
+      <PreprocessorDefinitions>_DEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <AdditionalIncludeDirectories>$(IntDir);%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
+    </ResourceCompile>
+    <CudaCompile>
+      <TargetMachinePlatform>64</TargetMachinePlatform>
+      <CodeGeneration>compute_35,sm_35</CodeGeneration>
+      <GPUDebugInfo>false</GPUDebugInfo>
+    </CudaCompile>
+  </ItemDefinitionGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
+    <ClCompile>
+      <PrecompiledHeader>Use</PrecompiledHeader>
+      <WarningLevel>Level3</WarningLevel>
+      <Optimization>Disabled</Optimization>
+      <PreprocessorDefinitions>WIN32;_WINDOWS;_DEBUG;_USRDLL;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <AdditionalIncludeDirectories>C:\Program Files\MATLAB\R2012b\extern\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
+      <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>
+    </ClCompile>
+    <Link>
+      <SubSystem>Windows</SubSystem>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <ModuleDefinitionFile>.\GroupMextest.def</ModuleDefinitionFile>
+      <OutputFile>$(OutDir)$(ProjectName).mexw64</OutputFile>
+      <AdditionalDependencies>$(CudaToolkitLibdir)\cudart.lib;cublas.lib;C:\Program Files\MATLAB\R2012b\extern\lib\win64\microsoft\libmex.lib;C:\Program Files\MATLAB\R2012b\extern\lib\win64\microsoft\libmx.lib;%(AdditionalDependencies)</AdditionalDependencies>
+      <IgnoreSpecificDefaultLibraries>MSVCRT.lib</IgnoreSpecificDefaultLibraries>
+    </Link>
+    <Midl>
+      <MkTypLibCompatible>false</MkTypLibCompatible>
+      <PreprocessorDefinitions>_DEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+    </Midl>
+    <ResourceCompile>
+      <Culture>0x0409</Culture>
+      <PreprocessorDefinitions>_DEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <AdditionalIncludeDirectories>$(IntDir);%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
+    </ResourceCompile>
+    <CudaCompile>
+      <TargetMachinePlatform>64</TargetMachinePlatform>
+      <CodeGeneration>compute_35,sm_35</CodeGeneration>
+      <GPUDebugInfo>false</GPUDebugInfo>
+      <HostDebugInfo>false</HostDebugInfo>
+      <Runtime>MD</Runtime>
+    </CudaCompile>
+  </ItemDefinitionGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <PrecompiledHeader>Use</PrecompiledHeader>
+      <Optimization>MaxSpeed</Optimization>
+      <FunctionLevelLinking>true</FunctionLevelLinking>
+      <IntrinsicFunctions>true</IntrinsicFunctions>
+      <PreprocessorDefinitions>WIN32;_WINDOWS;NDEBUG;_USRDLL;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+    </ClCompile>
+    <Link>
+      <SubSystem>Windows</SubSystem>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <EnableCOMDATFolding>true</EnableCOMDATFolding>
+      <OptimizeReferences>true</OptimizeReferences>
+      <ModuleDefinitionFile>.\GroupMextest.def</ModuleDefinitionFile>
+    </Link>
+    <Midl>
+      <MkTypLibCompatible>false</MkTypLibCompatible>
+      <PreprocessorDefinitions>NDEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+    </Midl>
+    <ResourceCompile>
+      <Culture>0x0409</Culture>
+      <PreprocessorDefinitions>NDEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <AdditionalIncludeDirectories>$(IntDir);%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
+    </ResourceCompile>
+  </ItemDefinitionGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <PrecompiledHeader>Use</PrecompiledHeader>
+      <Optimization>MaxSpeed</Optimization>
+      <FunctionLevelLinking>true</FunctionLevelLinking>
+      <IntrinsicFunctions>true</IntrinsicFunctions>
+      <PreprocessorDefinitions>WIN32;_WINDOWS;NDEBUG;_USRDLL;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+    </ClCompile>
+    <Link>
+      <SubSystem>Windows</SubSystem>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <EnableCOMDATFolding>true</EnableCOMDATFolding>
+      <OptimizeReferences>true</OptimizeReferences>
+      <ModuleDefinitionFile>.\GroupMextest.def</ModuleDefinitionFile>
+    </Link>
+    <Midl>
+      <MkTypLibCompatible>false</MkTypLibCompatible>
+      <PreprocessorDefinitions>NDEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+    </Midl>
+    <ResourceCompile>
+      <Culture>0x0409</Culture>
+      <PreprocessorDefinitions>NDEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <AdditionalIncludeDirectories>$(IntDir);%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
+    </ResourceCompile>
+  </ItemDefinitionGroup>
+  <ItemGroup>
+    <None Include="GroupMextest.def" />
+    <None Include="ReadMe.txt" />
+    <None Include="res\GroupMextest.rc2" />
+  </ItemGroup>
+  <ItemGroup>
+    <ClCompile Include="GLmex.cpp" />
+    <ClCompile Include="GroupMextest.cpp" />
+    <ClCompile Include="stdafx.cpp">
+      <PrecompiledHeader Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">Create</PrecompiledHeader>
+      <PrecompiledHeader Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">Create</PrecompiledHeader>
+      <PrecompiledHeader Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">Create</PrecompiledHeader>
+      <PrecompiledHeader Condition="'$(Configuration)|$(Platform)'=='Release|x64'">Create</PrecompiledHeader>
+    </ClCompile>
+  </ItemGroup>
+  <ItemGroup>
+    <ClInclude Include="GroupMextest.h" />
+    <ClInclude Include="Resource.h" />
+    <ClInclude Include="stdafx.h" />
+    <ClInclude Include="targetver.h" />
+  </ItemGroup>
+  <ItemGroup>
+    <ResourceCompile Include="GroupMextest.rc" />
+  </ItemGroup>
+  <ItemGroup>
+    <CudaCompile Include="GLcuda.cu" />
+  </ItemGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
+  <ImportGroup Label="ExtensionTargets">
+    <Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA 5.0.targets" />
+  </ImportGroup>
+</Project>
\ No newline at end of file
diff --git a/GroupMextest/GroupMextest.vcxproj.filters b/GroupMextest/GroupMextest.vcxproj.filters
new file mode 100644
index 0000000..407508e
--- /dev/null
+++ b/GroupMextest/GroupMextest.vcxproj.filters
@@ -0,0 +1,59 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup>
+    <Filter Include="Source Files">
+      <UniqueIdentifier>{4FC737F1-C7A5-4376-A066-2A32D752A2FF}</UniqueIdentifier>
+      <Extensions>cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx</Extensions>
+    </Filter>
+    <Filter Include="Header Files">
+      <UniqueIdentifier>{93995380-89BD-4b04-88EB-625FBE52EBFB}</UniqueIdentifier>
+      <Extensions>h;hpp;hxx;hm;inl;inc;xsd</Extensions>
+    </Filter>
+    <Filter Include="Resource Files">
+      <UniqueIdentifier>{67DA6AB6-F800-4c08-8B7A-83BB121AAD01}</UniqueIdentifier>
+      <Extensions>rc;ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe;resx;tiff;tif;png;wav;mfcribbon-ms</Extensions>
+    </Filter>
+  </ItemGroup>
+  <ItemGroup>
+    <None Include="ReadMe.txt" />
+    <None Include="GroupMextest.def">
+      <Filter>Source Files</Filter>
+    </None>
+    <None Include="res\GroupMextest.rc2">
+      <Filter>Resource Files</Filter>
+    </None>
+  </ItemGroup>
+  <ItemGroup>
+    <ClCompile Include="GroupMextest.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="stdafx.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="GLmex.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+  </ItemGroup>
+  <ItemGroup>
+    <ClInclude Include="GroupMextest.h">
+      <Filter>Header Files</Filter>
+    </ClInclude>
+    <ClInclude Include="stdafx.h">
+      <Filter>Header Files</Filter>
+    </ClInclude>
+    <ClInclude Include="targetver.h">
+      <Filter>Header Files</Filter>
+    </ClInclude>
+    <ClInclude Include="Resource.h">
+      <Filter>Header Files</Filter>
+    </ClInclude>
+  </ItemGroup>
+  <ItemGroup>
+    <ResourceCompile Include="GroupMextest.rc">
+      <Filter>Resource Files</Filter>
+    </ResourceCompile>
+  </ItemGroup>
+  <ItemGroup>
+    <CudaCompile Include="GLcuda.cu" />
+  </ItemGroup>
+</Project>
\ No newline at end of file
diff --git a/GroupMextest/ReadMe.txt b/GroupMextest/ReadMe.txt
new file mode 100644
index 0000000..289705e
--- /dev/null
+++ b/GroupMextest/ReadMe.txt
@@ -0,0 +1,67 @@
+========================================================================
+    MICROSOFT FOUNDATION CLASS LIBRARY : GroupMextest Project Overview
+========================================================================
+
+
+AppWizard has created this GroupMextest DLL for you.  This DLL not only
+demonstrates the basics of using the Microsoft Foundation classes but
+is also a starting point for writing your DLL.
+
+This file contains a summary of what you will find in each of the files that
+make up your GroupMextest DLL.
+
+GroupMextest.vcxproj
+    This is the main project file for VC++ projects generated using an Application Wizard.
+    It contains information about the version of Visual C++ that generated the file, and
+    information about the platforms, configurations, and project features selected with the
+    Application Wizard.
+
+GroupMextest.vcxproj.filters
+    This is the filters file for VC++ projects generated using an Application Wizard. 
+    It contains information about the association between the files in your project 
+    and the filters. This association is used in the IDE to show grouping of files with
+    similar extensions under a specific node (for e.g. ".cpp" files are associated with the
+    "Source Files" filter).
+
+GroupMextest.h
+    This is the main header file for the DLL.  It declares the
+    CGroupMextestApp class.
+
+GroupMextest.cpp
+    This is the main DLL source file.  It contains the class CGroupMextestApp.
+
+GroupMextest.rc
+    This is a listing of all of the Microsoft Windows resources that the
+    program uses.  It includes the icons, bitmaps, and cursors that are stored
+    in the RES subdirectory.  This file can be directly edited in Microsoft
+    Visual C++.
+
+res\GroupMextest.rc2
+    This file contains resources that are not edited by Microsoft
+    Visual C++.  You should place all resources not editable by
+    the resource editor in this file.
+
+GroupMextest.def
+    This file contains information about the DLL that must be
+    provided to run with Microsoft Windows.  It defines parameters
+    such as the name and description of the DLL.  It also exports
+    functions from the DLL.
+
+/////////////////////////////////////////////////////////////////////////////
+Other standard files:
+
+StdAfx.h, StdAfx.cpp
+    These files are used to build a precompiled header (PCH) file
+    named GroupMextest.pch and a precompiled types file named StdAfx.obj.
+
+Resource.h
+    This is the standard header file, which defines new resource IDs.
+    Microsoft Visual C++ reads and updates this file.
+
+/////////////////////////////////////////////////////////////////////////////
+Other notes:
+
+AppWizard uses "TODO:" to indicate parts of the source code you
+should add to or customize.
+
+/////////////////////////////////////////////////////////////////////////////
diff --git a/GroupMextest/Resource.h b/GroupMextest/Resource.h
new file mode 100644
index 0000000..ff4e09d
--- /dev/null
+++ b/GroupMextest/Resource.h
@@ -0,0 +1,16 @@
+//{{NO_DEPENDENCIES}}
+// Microsoft Visual C++ generated include file.
+// Used by GroupMextest.rc
+//
+
+// Next default values for new objects
+//
+#ifdef APSTUDIO_INVOKED
+#ifndef APSTUDIO_READONLY_SYMBOLS
+
+#define _APS_NEXT_RESOURCE_VALUE	1000
+#define _APS_NEXT_CONTROL_VALUE		1000
+#define _APS_NEXT_SYMED_VALUE		1000
+#define _APS_NEXT_COMMAND_VALUE		32771
+#endif
+#endif
diff --git a/GroupMextest/res/GroupMextest.rc2 b/GroupMextest/res/GroupMextest.rc2
new file mode 100644
index 0000000..6137dea
Binary files /dev/null and b/GroupMextest/res/GroupMextest.rc2 differ
diff --git a/GroupMextest/stdafx.cpp b/GroupMextest/stdafx.cpp
new file mode 100644
index 0000000..7733f41
--- /dev/null
+++ b/GroupMextest/stdafx.cpp
@@ -0,0 +1,7 @@
+// stdafx.cpp : source file that includes just the standard includes
+// GroupMextest.pch will be the pre-compiled header
+// stdafx.obj will contain the pre-compiled type information
+
+#include "stdafx.h"
+
+
diff --git a/GroupMextest/stdafx.h b/GroupMextest/stdafx.h
new file mode 100644
index 0000000..d3d296b
--- /dev/null
+++ b/GroupMextest/stdafx.h
@@ -0,0 +1,39 @@
+// stdafx.h : include file for standard system include files,
+// or project specific include files that are used frequently, but
+// are changed infrequently
+
+#pragma once
+
+#ifndef VC_EXTRALEAN
+#define VC_EXTRALEAN            // Exclude rarely-used stuff from Windows headers
+#endif
+
+#include "targetver.h"
+
+#define _ATL_CSTRING_EXPLICIT_CONSTRUCTORS      // some CString constructors will be explicit
+
+#include <afxwin.h>         // MFC core and standard components
+#include <afxext.h>         // MFC extensions
+
+#ifndef _AFX_NO_OLE_SUPPORT
+#include <afxole.h>         // MFC OLE classes
+#include <afxodlgs.h>       // MFC OLE dialog classes
+#include <afxdisp.h>        // MFC Automation classes
+#endif // _AFX_NO_OLE_SUPPORT
+
+#ifndef _AFX_NO_DB_SUPPORT
+#include <afxdb.h>                      // MFC ODBC database classes
+#endif // _AFX_NO_DB_SUPPORT
+
+#ifndef _AFX_NO_DAO_SUPPORT
+#include <afxdao.h>                     // MFC DAO database classes
+#endif // _AFX_NO_DAO_SUPPORT
+
+#ifndef _AFX_NO_OLE_SUPPORT
+#include <afxdtctl.h>           // MFC support for Internet Explorer 4 Common Controls
+#endif
+#ifndef _AFX_NO_AFXCMN_SUPPORT
+#include <afxcmn.h>                     // MFC support for Windows Common Controls
+#endif // _AFX_NO_AFXCMN_SUPPORT
+
+
diff --git a/GroupMextest/targetver.h b/GroupMextest/targetver.h
new file mode 100644
index 0000000..87c0086
--- /dev/null
+++ b/GroupMextest/targetver.h
@@ -0,0 +1,8 @@
+#pragma once
+
+// Including SDKDDKVer.h defines the highest available Windows platform.
+
+// If you wish to build your application for a previous Windows platform, include WinSDKVer.h and
+// set the _WIN32_WINNT macro to the platform you wish to support before including SDKDDKVer.h.
+
+#include <SDKDDKVer.h>
diff --git a/GroupMextest/vector_b_test.txt b/GroupMextest/vector_b_test.txt
new file mode 100644
index 0000000..c313d17
--- /dev/null
+++ b/GroupMextest/vector_b_test.txt
@@ -0,0 +1,2 @@
+
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\ No newline at end of file
diff --git a/GroupMextest/vector_p_test.txt b/GroupMextest/vector_p_test.txt
new file mode 100644
index 0000000..154dfaf
--- /dev/null
+++ b/GroupMextest/vector_p_test.txt
@@ -0,0 +1 @@
+10 5 7 5 18 7 12 8 10 5 6 11 4 5 6 9
\ No newline at end of file