| commit | 57c385e0eb016d1152fcb99f1c83cb40ec194364 | [log] [tgz] |
|---|---|---|
| author | Cindy Chen <chencindy@google.com> | Fri Jan 22 11:42:23 2021 -0800 |
| committer | Srikrishna Iyer <46467186+sriyerg@users.noreply.github.com> | Sat Jan 23 06:58:17 2021 -0800 |
| tree | eef182af09a0e62ff367ab52eef17e0321a2741d | |
| parent | 9b1031430e03d12f553452ed94dd32289f01eee0 [diff] |
[dv/hmac] reduce runtime for sha_vector test in smoke regression Two purpose of this PR: 1. The sha_vector test reads a input txt file into sequences input and check if the output is expected from the txt file. This process took 408s CPU time. Due to the current private CI timeout issue, we will only randomly run 2 sequences. This reduce the runtime to 20s. Thanks @weicaiyang for the suggestions. 2. Move the `smoke_test` bit from rv_timer to `dv_base_env_cfg.sv`. In this way, all other IPs needs to reduce the run time can use this variable. Signed-off-by: Cindy Chen <chencindy@google.com>
OpenTitan is an open source silicon Root of Trust (RoT) project. OpenTitan will make the silicon RoT design and implementation more transparent, trustworthy, and secure for enterprises, platform providers, and chip manufacturers. OpenTitan is administered by lowRISC CIC as a collaborative project to produce high quality, open IP for instantiation as a full-featured product. See the OpenTitan site and OpenTitan docs for more information about the project.
This repository contains hardware, software and utilities written as part of the OpenTitan project. It is structured as monolithic repository, or “monorepo”, where all components live in one repository. It exists to enable collaboration across partners participating in the OpenTitan project.
The project contains comprehensive documentation of all IPs and tools. You can access it online at docs.opentitan.org.
Have a look at CONTRIBUTING for guidelines on how to contribute code to this repository.
Unless otherwise noted, everything in this repository is covered by the Apache License, Version 2.0 (see LICENSE for full text).