RandBLAS supports high-level randomized linear algebra algorithms (like randomized low-rank SVD) that might be implemented in other libraries.
Our goal is for RandBLAS to become a standard like the BLAS, in that hardware vendors might release their own optimized implementations of algorithms which confirm to the RandBLAS API.
For those who are new to randomized linear algebra, we recommend you check out this 35-minute YouTube video on the subject.
We have three types of documentation.
- Traditional source code comments.
- Web documentation, split into a tutorial and an API reference.
- Developer notes; one for RandBLAS as a whole and another for our sparse matrix functionality.
Detailed installation instructions are in INSTALL.md.
RandBLAS is licensed under the BSD 3-Clause License. See LICENSE for information and copyright assertions.
The source code can be found at the RandBLAS github repository.