I'm wondering if anyone has any recommendations for good resources to learn parallel/concurrent/multicore programming. I know this is a pretty damn vague question, so bear with me. I've been a ...

For example, an engineer may develop a real-time embedded control system at the same time as its human-machine interface. Maybe the system also has a computation-intensive task such as high-speed ...

Hi, I’m James Reinders, and today we’re going to talk about threading building blocks. In fact, this is part one of a look at threading building blocks, which is an interesting template library for ...

I just finished reading the new book by David Kirk and Wen-mei Hwu called Programming Massively Parallel Processors. The generic title notwithstanding, readers should not come to this book expecting ...

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.

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 ...

Paris, France – Ateji PX solves a major industry challenge by quickly enabling application developers to write parallel programs, allowing them to unleash the full performance of multicore ...

In high performance computing, machine learning, and a growing set of other application areas, accelerated, heterogeneous systems are becoming the norm. With that state come several parallel ...

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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 ...