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Project Summary

A linear algebra framework in C++ along with a layout abstraction for parallelization paradigms. It provides operators to compute dense and sparse matrices with generically designed scalar, complex, vector and matrix types. At this time, the framework supports the library CUDA, CUBLAS, CUSP, CUSPARSE for parallel computing on GPGPU.

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In a Nutshell, linear-algebra-library...

GNU General Public License v3.0 or later
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Languages

C++
57%
CMake
28%
CUDA
15%
C
<1%

30 Day Summary

Feb 3 2026 — Mar 5 2026

12 Month Summary

Mar 5 2025 — Mar 5 2026

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