New Preprint: “OpenSpike: An OpenRAM SNN Accelerator” led by Undergraduate Researcher Farhad Modaresi Accepted for ISCAS 2023 in Monterey, CA

Farhad Modaresi has led the design and tape-out of a fully open-sourced spiking neural network accelerator in the Skywater 130 process. The design is based on memory macros generated using OpenRAM.

Many of the advances in deep learning this past decade can be attributed to the open-source movement where researchers have been able to reproduce and iterate upon open code bases. With the advent of open PDKs (SkyWater), EDA toolchains, and memory compilers (OpenRAM by co-author Matthew Guthaus), we hope to port rapid acceleration in hardware development to the neuromorphic community. 

Check out the preprint here: https://arxiv.org/abs/2302.01015

GitHub repo with RTL you are welcome to steal: https://github.com/sfmth/OpenSpike

OpenSpike Schematic and Layout