Numerical computation and mathematical software form the backbone of modern scientific inquiry, facilitating the approximation of real numbers, the solution of complex mathematical models, and the ...
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 ...
This repository contains the experimental code and raw results used in the study: "Time, Space and Energy Complexity Analysis of Sorting and Matrix Multiplication Algorithms" The project evaluates ...
This repository contains several implementations of a general matrix multiplication (GEMM) kernel in CUDA, supporting both single-precision (FP32) and mixed-precision (FP16 inputs, FP32 accumulation) ...
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 ...
Siddhesh Surve is an accomplished Engineering leader with topics of interest including AI, ML, DS, DE, Cloud compute.
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