IEEE

MH-SpGEMM: Efficient Sparse General Matrix-Matrix Multiplication on Modern GPUs via Masking and Hashing Cooperative Optimization

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 ...
Le Lézard

MicroCloud Hologram Inc. Utilizes FPGA to Accelerate Tensor Network Computing to Achieve Quantum Spin Models

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network algorithm into ...
GitHub

adaptive-matrix-multiplication

Quantum-inspired adaptive tiling for high-performance matrix multiplication. Uses WKB tunneling physics with the golden ratio to derive optimal tile sizes from real-time CPU state. 15%+ gains on ...
IEEE

Enhanced Fault Localization in Distributed Photovoltaic Grids Using a Hybrid Improved Matrix and Seagull Optimization Algorithm

Abstract: Aiming at the fault localization challenges brought by distributed PV power access, this paper proposes a hybrid optimal localization method combining the improved matrix algorithm with the ...
GitHub

Feroz455/Fundamentals-of-Computer-Algorithms-2nd-Edition-by-Ellis-Horowitz-Sartaj-Sahni-and-Sanguthevar

This repository contains comprehensive implementations of algorithms from the classic textbook "Fundamentals of Computer Algorithms" (Second Edition) by Ellis Horowitz, Sartaj Sahni, and Sanguthevar ...