Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...

We use Quarto to generate all outputs. @book{Nguyen2025TLBoC, author = {Duc-Tam Nguyen}, title = {The Little Book of C}, year = {2025}, url = {https://github.com ...

Abstract: The demand for high-speed matrix multiplication continues to grow due to recent developments in images processing, graphics processing, digital signal processing and communication via ...

A heavily-commented, didactic implementation of Montgomery modular multiplication and Montgomery reduction (REDC) in CUDA C++, built as study material for learning both the number theory and the GPU ...