commit | 978c739370437b60307ac010acd0629b099ced94 | [log] [tgz] |
---|---|---|
author | Thierry Moreau <moreau@cs.washington.edu> | Sun Jul 22 21:54:45 2018 -0700 |
committer | Tianqi Chen <tqchen@users.noreply.github.com> | Sun Jul 22 21:54:45 2018 -0700 |
tree | e5625a5ec6b03e22b0413f1f29f905c182fe894b | |
parent | a7df108d922f9c27657a2de96c14945a0438fb58 [diff] |
[DOC, HARDWARE] Hardware developer guide, migrating to use Vivado 2018.2 (#1473)
VTA(versatile tensor accelerator) is an open-source deep learning accelerator stack. It is not just an open-source hardware, but is an end to end solution that includes the entire software stack on top of VTA open-source hardware.
The key features include:
VTA is part of our effort on TVM Stack.