Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Recently, I had the good fortune to present a class at the ACM Conference for Computer Science Educators (SIGCSE). While I definitely shared my enthusiasm for parallel programming, I had two key goals ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

(CS 213 or (CE 205 & 211)) or MS CS/CE or PhDs CS/CE or permission of Instructor. CS 358 serves as an introduction to the field of parallel computing. Topics include common parallel architectures ...

Modern software takes computational speed for granted. But modern microprocessors can only speed up by increasing the number of cores. To take full advantage of multiple cores, software developers ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

DISTRIBUTED COMPUTING FRAMEWORKS The OpenMP portable, scalable framework supports multiplatform, shared-memory parallel programming and targets SMP systems. It also supports C/C++ and Fortran and runs ...

James Reinders, Intel's head of software development products, sets out some of the company's plans for encouraging more developers to switch to parallel programming. With many programmers barely ...

This week is the eighth annual International Workshop on OpenCL, SYCL, Vulkan, and SPIR-V, and the event is available online for the very first time in its history thanks to the coronavirus pandemic.