Add SHA1 testing

test/nvcc_jamfile

@@ -10,3 +10,4 @@ project : requirements
     ;
 
 run test_md5_nvcc.cu ;
+run test_sha1_nvcc.cu ;

test/test_sha1_nvcc.cu

@@ -0,0 +1,110 @@
+//  Copyright Matt Borland 2024
+//  Use, modification and distribution are subject to the
+//  Boost Software License, Version 1.0. (See accompanying file
+//  LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+
+#include <boost/crypt/hash/sha1.hpp>
+#include "cuda_managed_ptr.hpp"
+#include "stopwatch.hpp"
+#include "generate_random_strings.hpp"
+#include <iostream>
+#include <iomanip>
+#include <exception>
+#include <memory>
+
+#include <cuda_runtime.h>
+
+using digest_type = boost::crypt::array<boost::crypt::uint8_t, 20>;
+
+// The kernel function
+__global__ void cuda_test(char** in, digest_type* out, int numElements)
+{
+    int i = blockIdx.x * blockDim.x + threadIdx.x;
+
+    if (i < numElements)
+    {
+        out[i] = boost::crypt::sha1(in[i]);
+    }
+}
+
+int main()
+{
+    try
+    {
+        // Error code to check return values for CUDA calls
+        cudaError_t err = cudaSuccess;
+
+        // Print the vector length to be used, and compute its size
+        constexpr int numElements = 50000;
+        constexpr std::size_t elementSize = 64;
+
+        std::cout << "[Vector operation on " << numElements << " elements]" << std::endl;
+
+        // Allocate the managed input vector A
+        char** input_vector1 = new char*[numElements];
+
+        // Allocate the managed output vector C
+        cuda_managed_ptr<digest_type> output_vector(numElements);
+
+        for (int i = 0; i < numElements; ++i)
+        {
+            input_vector1[i] = new char[elementSize];
+            if (input_vector1[i] == nullptr)
+            {
+                throw std::runtime_error("Failed to allocate memory for input_vector1");
+            }
+            boost::crypt::generate_random_string(input_vector1[i], elementSize);
+        }
+
+        // Launch the Vector Add CUDA Kernel
+        int threadsPerBlock = 256;
+        int blocksPerGrid =(numElements + threadsPerBlock - 1) / threadsPerBlock;
+        std::cout << "CUDA kernel launch with " << blocksPerGrid << " blocks of " << threadsPerBlock << " threads" << std::endl;
+
+        watch w;
+        cuda_test<<<blocksPerGrid, threadsPerBlock>>>(input_vector1, output_vector.get(), numElements);
+        cudaDeviceSynchronize();
+        std::cout << "CUDA kernal done in " << w.elapsed() << "s" << std::endl;
+
+        err = cudaGetLastError();
+        if (err != cudaSuccess)
+        {
+            std::cerr << "Failed to launch vectorAdd kernel (error code " << cudaGetErrorString(err) << ")!" << std::endl;
+            return EXIT_FAILURE;
+        }
+
+        // Verify that the result vector is correct
+        std::vector<digest_type> results;
+        results.reserve(numElements);
+        w.reset();
+        for(int i = 0; i < numElements; ++i)
+        {
+           results.emplace_back(boost::crypt::sha1(input_vector1[i]));
+        }
+        double t = w.elapsed();
+
+        // check the results
+        for(int i = 0; i < numElements; ++i)
+        {
+            if (output_vector[i][0] != results[i][0])
+            {
+                std::cerr << "Result verification failed at element " << i << "!" << std::endl;
+                return EXIT_FAILURE;
+            }
+        }
+
+        std::cout << "Test PASSED with calculation time: " << t << "s" << std::endl;
+        std::cout << "Done\n";
+
+        // Cleanup all the memory we allocated
+        for (int i = 0; i < numElements; ++i)
+        {
+            delete[] input_vector1[i];
+        }
+        delete[] input_vector1;
+    }
+    catch (const std::exception& e)
+    {
+        std::cerr << "Terminated with exception: " << e.what() << std::endl;
+    }
+}