Skip to content

Latest commit

 

History

History
29 lines (20 loc) · 2.68 KB

README.md

File metadata and controls

29 lines (20 loc) · 2.68 KB

DOI

DAQ-Algorithmn-to-FPGA Project

The goal of this project is to analyze detector data from the Stopping Target Monitor (STM) of the Mu2e experiment (https://mu2e.fnal.gov/) at Fermilab directly in hardware on the FPGA. The code is developed by Martin Voigt and Rober Ufer (Supervisors: Oliver Knodel and Stefan E. Müller) at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR).

High Level Synthesis (HLS) is used to optimize the design process and allow non-HDL FPGA programming.

Presentation under Mu2e docdb-ID: 35505

System Architecture

The overall design process is more focused on a stand-alone hardware core and a test bench that simulates the flow of data into the core and validates the flow of data out of the core. A separate CPU on the system is not required or rather not utilized with the execution of the core itself.

All cores are implemented with Vivado HLS 2019.1.

The design is a pure streaming core using #pragma HLS pipeline and hls::stream<>.

Algorithms

Currently there are four algorithms:

Algorithm Implementation README
Pulse Integratione Quality Analysis
(original: Edge-finding Trigger by Jijun Chen, Shihua Huang, Dave Koltick)
pulse_integration_quality_analysis_core.cpp: README
Zero Suppression Cutout
(original: Zero Suppression by Nam Tran)
zero_suppression_cutout_core.cpp: README
Moving Window Deconvolution
(original: Moving Window Deconvolution by Nam Tran)
MWD.cpp: README
Simple Analysis and Cutout
(original: Edge-finding Trigger by Jijun Chen, Shihua Huang, Dave Koltick)
analysis_core.cpp: README