You are going to have to write a parallel program to effectively use any modern CPU. So, it’s not parallel programming per se that makes GPU programming more difficult than CPU programming. Much of ...

Parallel programming, and OpenACC, is used in high-performance computing in the fields of bioinformatics, quantum chemistry, astrophysics and more. “The model was made to ensure that scientists spend ...

CATALOG DESCRIPTION: Parallel computer architecture and programming models. Message passing and shared memory multiprocessors. Scalability, synchronization, memory consistency, cache coherence. Memory ...

Intel's James Reinders delves further into threading building blocks - a C++ template library for parallel programming. Written by ZDNet Staff, Contributor Sept. 23, 2007 at 9:47 p.m. PT ...

A new technical paper titled “WARDen: Specializing Cache Coherence for High-Level Parallel Languages” was published by researchers at Northwestern University and Carnegie Mellon University. Abstract: ...

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 ...

Q&A. Asynchronous and Parallel Programming in C#. By David Ramel; 05/20/2025; As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, ...

Version 6.0 of the OpenMP API is released, which opens up parallel programming to new applications, makes it easier to develop parallel programs, and gives more fine grain control to the developer.

Programming tools that harness the computing power of CPUs and graphics processors have been updated, bringing more parallel programming capabilities to the table. Standards-setting firm Khronos ...

Q&A. Asynchronous and Parallel Programming in C#. By David Ramel; 05/20/2025; As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, ...