commit | f46cb55dabef2f47d959d3315cbcd3d8a3e4052c | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Wed Aug 14 10:42:59 2019 -0700 |
committer | Thierry Moreau <moreau@uw.edu> | Wed Aug 14 10:42:59 2019 -0700 |
tree | 5d39a83f24dcbb50a27d796a5bfe8f7c92ca370f | |
parent | d022b732c32f1e6aeafee0ceaefb82ef64cb56f7 [diff] |
[VTA][Chisel] scale dram base address in hardware instead of runtime (#3772) * [VTA][Chisel] scale dram base address in hardware instead of runtime * remove trailing spaces
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:
Learn more about VTA here.