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 ...
IEEE

Improved Modular Multiplication Algorithms Using Solely IEEE 754 Binary Floating-Point Operations

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...
GitHub

Computer-Science-Resources/Algorithms-Resources

This is a continuously updating list of some of the most essential algorithms implemented in pseudocode, C++14, Python 3 and Java. You can find a comprehensive explanation of some of the algorithms ...
GitHub

A collection of daily coding practice programs completed as part of the GUVI HCL training program, focusing on Java fundamentals, algorithms, and data structures.

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