google/CFU-Playground

Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.

VerilogC++PythonCMakefileJupyter NotebookOthertensorflowtflitetflm
This is stars and forks stats for /google/CFU-Playground repository. As of 19 Apr, 2024 this repository has 412 stars and 98 forks.

CFU Playground Want a faster ML processor? Do it yourself! This project provides a framework that an engineer, intern, or student can use to design and evaluate enhancements to an FPGA-based “soft” processor, specifically to increase the performance of machine learning (ML) tasks. The goal is to abstract away most infrastructure details so that the user can get up to speed quickly and focus solely on adding new processor instructions, exploiting them in the computation, and measuring the results. This...
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