It also offers improved power efficiency, he said, which is an important factor for certain workloads the university is targeting, such as a project to support the Square Kilometer Array telescope in Australia and South Africa, and ongoing work to speed genome processing.
"Our involvement in the SKA needs extreme levels of performance, and because the data centres are going to be in the desert, power is at a premium so they need extreme performance and extreme high power efficiency - so that is one of our drivers for Xeon Phi," said Calleja.
"Also in genomics the demand for parallel processing is huge, and these devices also want to be in a hospital setting where, again, power and large data centres are not suitable - they want to use real estate for patients and not for data. So in those areas where you need high levels of compute in a reasonably small power-constrained environment that drives the use of accelerators like Xeon Phi."
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