A high-performance implementation of Sparse Matrix-Vector Multiplication in C++ with serial, parallel (OpenMP), and GPU-accelerated (CUDA) versions, demonstrating the performance benefits of ...
A statically-typed Domain Specific Language (DSL) compiler and interpreter optimized for linear algebra operations. This project implements a full 4-stage compiler pipeline - from lexical analysis to ...
Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...
If \(A\) is a \(3\times 3\) matrix then we can apply a linear transformation to each rgb vector via matrix multiplication, where \([r,g,b]\) are the original values ...
Abstract: Vector math operations are considered one of the basic operations for computationally intensive algorithms. The latest emerging resistive random access memory device (ReRAMI) and ReRAM ...
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