This project implements sparse matrix-vector multiplication (SpMV) using Apache Spark's Python API (PySpark). The script, spmv-spark.py, reads a sparse matrix in Matrix Market (.mtx) format, performs ...

python library mit module modules algebra math functions vector matrix linear-algebra mathematics lib unittest matrix-multiplication matrices linear mit-license matrice vector-multiplication Updated ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

Real PIM systems can provide high levels of parallelism, large aggregate memory bandwidth and low memory access latency, thereby being a good fit to accelerate the widely-used, memory-bound Sparse ...

Engheta and colleagues have now set their sights on vector–matrix multiplication, which is a vital operation for the artificial neural networks used in some artificial intelligence systems. The team ...