In this video, Michael Wolfe from PGI begins a series of tutorials on parallel programming. This is the first in a series of short videos to introduce you to parallel programming with OpenACC and the ...

Parallel programming, and OpenACC, is used in high-performance computing in the fields of bioinformatics, ... interface offers the ability to describe the inherent parallelism of a program and as such ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

Week 1 : Introduction to parallel computing: motivation for parallel computing, options of parallel computing, economics of parallel computing, basic concepts of parallel algorithms. Introduction to ...

One of the best features of using FPGAs for a design is the inherent parallelism. Sure, you can write software to take advantage of multiple CPUs. But with an FPGA you can enjoy massive parallelism… ...

Parallel programming lets us use resources more effectively -- such as CPU cores or communication channels. There are several good options for parallel code (including Parallel.ForEachAsync and ...

Introduction to High-Performance and Parallel Computing; Efficient Programming (forthcoming) Parallel Programming with MPI (forthcoming) This specialization can be taken for academic credit as part of ...

Developing and using parallel programs for solving computationally intensive problems. The course builds on basic concepts of programming and problem solving. Prerequisite: CSE 381. Required topics ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day ...

In this video, Michael Wolfe from PGI continues his series of tutorials on parallel programming. "The second in a series of short videos to introduce you to parallel programming with OpenACC and the ...