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May 2007
May 21, 2007
Multicore Tools
If you want the performance advantages of multicore processing, you have to make some choices. For instance, do you invest in optimizing for the Cell, or target a GPU from NVIDIA? Ideally, you don't want to have to make that choice. Jon Erickson recently talked with Michael McCool, chief scientist and founder of RapidMind. RapidMind provides a platform that works with existing C++ compilers and employs the concept of data parallelism to exploit the benefits of multiple multicore implementations. According to McCool, this hides the complexity of optimization behind a simple API. Check out the interview here.
Posted by Kevin Carlson at 01:42 PM Permalink
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