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Intel Xeon Phi shines vs NVidia GPU accelerators in Ohio State University tests

Which is better for massively parallel computing, a GPU accelerator board from NVidia, or Intel’s new Xeon Phi? On the eve of NVidia’s GPU Technology Conference comes a paper which Intel will enjoy. Erik Sauley, Kamer Kayay, and Umit V. C atalyurek from the Ohio State University have issued a paper with performance comparisons between

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Multicore processor wars: NVIDIA squares up to Intel

I first became aware of NVIDIA’s propaganda war against Intel at the 2012 GPU Technology conference in Beijing. CEO Jen-Hsun Huang stated that CPUs are remarkably inefficient for multicore processing:

The CPU is fast and is terrific at single-threaded performance, but because so much of the electronics inside the CPU is dedicated to out of

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NVIDIA plans to merge CPU and GPU – eventually

I spoke to Dr Steve Scott, NVIDIA’s CTO for Tesla, at the end of the GPU Technology Conference which has just finished here in Beijing. In the closing session, Scott talked about the future of NVIDIA’s GPU computing chips. NVIDIA releases a new generation of graphics chips every two years:

2008 Tesla 2010 Fermi 2012

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NVIDIA CEO on the spot: explains Fermi delays, CUDA vs OpenCL, rise of the tablet

NVIDIA CEO Jen-Hsung Huang spoke to the press at the GPU Technology Conference and I took the opportunity to ask some questions.

I asked for his views on the cloud as a supercomputer and whether that would impact the need for local supercomputers of the kind GPU computing enables.

Although we expect more and

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