Python interface to GPU-powered libraries

[DEPRECATED] Moved to ROCm/rocm-libraries repo

Information on optimizing python libraries specifically for oobabooga to take advantage of Apple Silicon and Accelerate Framework.

Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.

Fast lattice reduction using segmentation, multithreading, Seysen reduction and BLAS

A lightweight triton-based General Matrix Multiplication (GEMM) library.

Experimental Linear Algebra Performance Studies

Concurrent NumPy in Python

Fast cosine similarity for Python

NumPy & SciPy for GPU as well as Ascend NPU (80% math API supported, alpha)

Auxiliary tools: distributed SVD, QR, sample mesh, etc

Error handler for BLAS/LAPACK routines.

Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point number.

Compute the sum of the absolute values of the real and imaginary components of a double-precision complex floating-point number.

Light weight scientific computing without any extra dependencies

Testing matrix multiplication performance