Byung Hoon Ahn, Ph.D.
Description: A programmable deep learning acceleration system generator.
GeneSys is an innovative solution designed to seamlessly integrate accelerators into the software infrastructure, offering a holistic approach to system design. It is specifically engineered to produce complete acceleration systems for emerging deep learning models with minimal human intervention. GeneSys marks a significant advancement in the realm of open-source deep learning hardware, presenting an all-in-one solution for the efficient generation of deep learning accelerators, complete with a cutting-edg
Overview of GeneSys workflow. Comprehensive Solution: GeneSys offers an end-to-end compilation stack, a parameterizable DNN accelerator generator, RTL verification testbenches and regression suite with synthetic and state-of-the-art DNN benchmarks (including transformers like BERT and GPT2), FPGA implementation framework, OpenCL-compliant Linux drivers, and a software simulator for quick profiling and insights.
Multi-target Compilation Stack: The Codelet compiler converts ONNX models into an intermediate representation (IR) and performs architecture specific optimizations for various configurations. It further supports multiple backends, giving users flexibility in deploying tailored accelerators.
Byung Hoon Ahn, Ph.D.