The Andhra Pradesh Public Service Commission (APPSC) has announced 691 vacancies for the Forest Beat Officer and Assistant ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning.

By transforming operands into a Montgomery domain, these algorithms enable efficient modular multiplication and exponentiation, which are crucial for public-key cryptosystems.

In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floatingpoint operations. Several previous studies have used floatingpoint operations to perform ...

This project implements high-performance dense-dense, dense-sparse, and sparse-sparse matrix multiplication using C++ with configurable multi-threading, SIMD optimizations, and cache miss minimization ...