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Comparing OpenCL, CUDA, and OpenACC [video]

Rob Farber takes you on a tour of the paths to massively parallel x86, MultiGPU, and CPU+GPU applications. - Parallel

Programming the Xeon Phi

A series of articles on getting the best performance out of the new Intel Xeon Phi coprocessor - Parallel

OOPSLA '95: Back in the Saddle Again

Editor's Forum

Today you can find literally dozens of licenses billed as open source. The term "open" is now used as a synonym for "not completely proprietary."

Go Parallel Or Get Left Behind

It's not news these days that multicore and parallelization are a very big deal indeed. Which is why we've been covering these topics like the dew covers Dixie. For starters, there are articles like ...

Data Insurance

Lawsuits, downtime, data that has been stolen or destroyed—data insurance helps tech companies recoup unexpected losses.

Hot-Rodding Windows and Linux App Performance with CUDA-Based Plugins

Adding GPU capabilities to existing Windows and Linux apps can be done simply using plugins and the built-in support found in CUDA. This easy form of dynamic loading enables CUDA to be used selectively to hugely accelerate individual tasks within a larger application. - Parallel

The OpenACC Execution Model

In this second part of the introduction to OpenACC — the OpenMP-style library for GPU programming — the execution model is explained and samples are benchmarked against straight, OpenMP parallelism. - Parallel

Running CUDA Code Natively on x86 Processors

A new compiler from PGI makes it possible to use the same CUDA code on x86 processors, Nvidia chips, or both - Parallel

A Robust Histogram for Massive Parallelism

Preserving highly parallel performance when every thread is simultaneously trying to increment a single object - Parallel

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