[Editor's note: Part 2 of this series shows how to optimize DSP “kernels,” i.e., inner loops. For more programming tips, see the DSP programmer’s guide.] DSP applications typically have tough ...

How does parallel programming differ from asynchronous programming, ... ConfigureAwait(false) can provide small code optimization. And if you are supporting .NET Framework applications, things get ...

The programming considerations presented in this article affect both C and assembly programming today on most high-performance DSPs. While tools such as C compilers and linear assemblers are available ...

James Reinders, parallel programming enthusiast Roofline Analysis is a technique that projects a view of realism into optimization targets. It lets us know when we’ve tuned all we can (assuming ...

Whether modifying an existing application or writing entirely new code, parallel applications can be much more challenging to work with than their sequential counterparts. Without a doubt, the ...

COMP_SCI 368, 468: Programming Massively Parallel Processors with CUDA VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Completed CS 213 or CS/CE Graduate standing or Consent of Instructor Description ...

COMP_ENG 368, 468: Programming Massively Parallel Processors with CUDA. This course is not currently offered. Prerequisites COMP_SCI 213, ... This course discusses state-of-the-art parallel ...

Parallel programming, and OpenACC, is used in high-performance computing in the fields of bioinformatics, quantum chemistry, astrophysics and more. ... Source code is available in GitHub. The book ...

As part of the CUDA Toolkit, version 4.1, Nvidia has also released a GPU code optimization tool to visually guide developers through the CUDA programming process.

A computer is a binary machine; the more one exploits basic binary hardware resources, the better the code generated should perform. Nilo Stolte has extensive experience in computer graphics, computer ...