hughperkins/VeriGPU
OpenSource GPU, in Verilog, loosely based on RISC-V ISA
This project helps hardware architects and designers create custom GPU designs specifically optimized for machine learning tasks. It takes Verilog descriptions of GPU components and simulates their behavior, allowing you to evaluate performance and area metrics. The target end-user is a hardware engineer or architect focused on ASIC design for AI acceleration.
1,280 stars. No commits in the last 6 months.
Use this if you are designing a custom GPU for machine learning and need to simulate and verify its architecture before costly physical fabrication.
Not ideal if you are looking for a pre-built GPU to use immediately or want to develop software on existing hardware platforms.
Stars
1,280
Forks
140
Language
SystemVerilog
License
MIT
Category
Last pushed
Nov 22, 2024
Commits (30d)
0
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