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 ...

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 ...

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.

In this video from ISC’14, Xavier Vigouroux from the Bull Center for Excellence in Parallel Programming describes how programming tools from Allinea Software enable debugging at scale. To help HPC ...

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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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 ...

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 ...

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 ...

For nearly 10 years, computer processors have been getting faster by using multiple cores rather than raising their individual speeds. This measure makes our PCs and smartphones more power-efficient, ...

LONDON — The Khronos Group, an industry consortium focused on developing multimedia standards and application programming interfaces (APIs), has released version 1.1 of the OpenCL specification, a ...