StarPU: Hybrid CPU/GPU Task Programming
Written by Michael Larabel in Compiler on 31 March 2012 at 09:12 AM EDT. 6 Comments
Compiler
Announced this week to the GCC developers was the release of StarPU 1.0.0 for hybrid CPU/GPU task programming.

Ludovic Court├Ęs announced the StarPU 1.0.0 release as an extension to GCC with a run-time support library to handle hybrid CPU/GPU task programming. StarPU is self-described as "A Unified Runtime System for Heterogeneous Multicore Architectures."

The StarPU GCC plug-in allows for annotating C code to describe tasks and passable memory buffers for CPU and GPU (via OpenCL) targets. These tasks can be handled a-synchronously and the StarPU run-time handles the data transfers automatically for the GPU support. It also appears that there is NVIDIA CUDA support to complement OpenCL within StarPU.

More information on StarPU is available from the project's web-site.
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Michael Larabel is the principal author of Phoronix.com and founded the web-site in 2004 with a focus on enriching the Linux hardware experience and being the largest web-site devoted to Linux hardware reviews, particularly for products relevant to Linux gamers and enthusiasts but also commonly reviewing servers/workstations and embedded Linux devices. Michael has written more than 10,000 articles covering the state of Linux hardware support, Linux performance, graphics hardware drivers, and other topics. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking.org automated testing software. He can be followed via Twitter or contacted via MichaelLarabel.com.

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