This project demonstrates the use of the MapReduce framework to solve the matrix multiplication problem. Matrix multiplication is a common computational task in fields like scientific computing, ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

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Distributed computing has markedly advanced the efficiency and reliability of complex numerical tasks, particularly matrix multiplication, which is central to numerous computational applications from ...

A computer engineering project that extends a basic RISC-V processor with custom vector processing capabilities to accelerate matrix multiplication operations. RISCV-MatX demonstrates how custom ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...