This C++ project simulates matrix multiplication with a shared vector, showcasing the principles of parallel computing and shared memory utilization. Matrix multiplication is a fundamental operation ...

Abstract: We propose a nonlinear optical approach for ultra-fast, matrix-vector multiplications as required in machine-learning tasks. Optical multiplication is experimentally demonstrated, with less ...

Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...

Abstract: Distributed matrix-vector multiplication plays a key role in numerous computing-intensive applications, including machine learning, by leveraging distributed computing resources known as ...

This project is a framework for benchmarking a wide range of algorithms for sparse linear algebra using Scala and Apache Spark. It evaluates different data structures, sparse formats, and execution ...

Matrix multiplication involves the multiplication of two matrices to produce a third matrix – the matrix product. This allows for the efficient processing of multiple data points or operations ...