commit | 12fb486a491b75d70ec4c5e0a0cd112ab49a95bc | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Fri Nov 27 11:31:04 2020 -0800 |
committer | GitHub <noreply@github.com> | Fri Nov 27 11:31:04 2020 -0800 |
tree | b6882845ace5830bb10ef23be9f6a4bf693a468b | |
parent | 519263cc45de40449702fd7942fa0a745297180f [diff] |
[Hardware][Verilator] Integrating and simulating hardware accelerators in TVM (#18) * add files * fix paths * add apache header to readme
VTA (versatile tensor accelerator) is an open-source deep learning accelerator complemented with an end-to-end TVM-based compiler stack.
The key features of VTA include: