Distributed and parallel computing are important for many reasons. They can help you solve problems that are too large, complex, or time-consuming for a single computer or processor.

Fork-join parallelism, a fundamental model in parallel computing, dates back to 1963 and has since been widely used in parallel computing. In fork join parallelism, computations create opportunities ...

Parallel Computing Tutorial This repository introduces several optimization techniques that can be applied to improve the parallelism of matrix multiplication. The techniques include loop unrolling, ...

Specialization: High Performance and Parallel Computing Instructor: Dr. Shelley Knuth, Associate Director of User Services and Dr. Thomas Hauser, Director of Research Computing Prior knowledge needed: ...

OpenMP.org has posted the slides and audio from a day-long tutorial on Hybrid MPI and OpenMP Parallel Programming from SC13. OpenMP is the de facto standard for writing parallel applications for ...

An overview of parallel computing is provided, with reference to numerical analysis and, in particular, to computational electromagnetics. The history of parallelism is reviewed, and the general ...

This is a practical CUDA programming tutorial designed to help readers master the basic concepts and common operations of CUDA parallel computing through hands-on exercises. The content covers ...

The goal is "democratizing access to cheap, scalable parallel hardware." Each board has a dual-core ARM Cortex-A9 chip as its CPU, which can offload tasks to Adapteva's Epiphany co-processor.

Prof. Peng Xie remarked: “We demonstrated parallel optical computing system capable of 100-wavelength multiplexing, paving a new path to scaling up optical computility.