Challenge #12 Picking Tools (project GA) - jtristan123/HW-for-AI-ML-ECE-410 GitHub Wiki

  1. Based on your initial benchmarking and profiling of your code, make a first informed decision what part(s) should be accelerated in HW.
  2. You may want to do a back-of-the-envelope calculation to see if the HW acceleration is worth the effort. To do so, determine the following times:
  3. The HW acceleration is only worth it if T5 + T6 + T7 < T3.
  4. Next, based on your background and interests, pick one of the high-level tools listed below that will allow you to do rapid HW prototyping in Python. • PyMTL (Mamba): o https://pymtl.github.io o User group: https://groups.google.com/g/pymtl-users o An open-source hardware modeling, generation, simulation, and verification framework. o MyHDL allows a subset of Python code to be translated to Verilog or VHDL. It offers co-simulation options where native Python code runs alongside a compiled simulation model of your hardware. o Hardware-software co-simulation using PyMTL3: § Create your hardware model in PyMTL3 § Develop software that will interact with the hardware § Set up the co-simulation environment § Run and analyze results