https://github.com/atlarge-research/aie-blas
BLAS Implementation for AMD/Xilinx Versal Devices
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (2.9%) to scientific vocabulary
Last synced: 10 months ago
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Repository
BLAS Implementation for AMD/Xilinx Versal Devices
Basic Info
- Host: GitHub
- Owner: atlarge-research
- Language: C++
- Default Branch: main
- Size: 118 KB
Statistics
- Stars: 0
- Watchers: 9
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
README.md
aieblas
This repository contains a BLAS implementation for the AMD AI Engine.
Note that the library is mostly a proof of concept and does not support all routines.
Supported routines
Level 1: - ASUM - AXPY - DOT - IAMAX - NRM2 - ROT - SCAL
Level 2: - GEMV
Supported devices
- AMD Versal VCK5000
Compiling the library
To compile the code generator, run ./configure.sh && cmake --build build in the folder aieblas/.
Running the benchmarks
To run the benchmarks, first compile the code generator, and then build the benchmarks by running ./build-all.sh in the folder benchmark/util.
Owner
- Name: @Large Research
- Login: atlarge-research
- Kind: organization
- Email: info@atlarge-research.com
- Website: http://atlarge-research.com/
- Twitter: LargeResearch
- Repositories: 24
- Profile: https://github.com/atlarge-research
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