As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

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.

Ever wondered how Facebook is able to assemble personalized news feeds, in real time, for any of its billion-plus users who may log in at any given moment? Now we know, because the company has just ...

Programming languages are a dime a dozen; throw a rock in any direction and you’ll hit one. Question is … can you use any of them to program data-centric applications that are deployable across CPUs, ...

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 ...

Write program to run in parallel? Yes. Did you remember to use a Scalable Memory Allocator? No? Then read on … In my experience, making sure “memory allocation” for a program is ready for parallelism ...

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 on ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

Microsoft has published the specification for C++ AMP (Accelerated Massive Parallelism), its new system for heterogeneous parallel processing in C++. When Microsoft first announced C++ AMP in June ...