Cray Packs CS-Storm Supercomputer with GPU Accelerators
The vendor's new supercompute cluster offers eight GPUs in a single compute note, and as many as 176 in a full rack.Cray is unveiling a powerful new cluster supercomputer packed with GPU accelerators and offering a peak performance of more than 11 teraflops per node to address increasing demands for more performance and scalability in such business segments as oil and gas, financial services and life sciences. The new CS-Storm offers up to eight Tesla K40 GPU accelerators from Nvidia and two Intel Xeon E5-2600 v2 processors per 2U (3.5-inch) compute server, and each standard 48U (84-inch) rack can hold 22 of the servers and offer more than 250 teraflops. A CS-Storm system with four cabinets can deliver more than a petaflop of peak performance, according to the company. The new system, which is based on Cray's CS300 supercomputer, "fills a gap in Cray's portfolio" to meet the growing demand for more highly accelerated systems that can process thousands of calculations at the same time, according to Barry Bolding, vice president of marketing and business development at Cray. More workloads in the high-performance computing space need higher accelerator performance and bandwidth, and the new system answers that need, Bolding told eWEEK. OEMs increasingly are using GPU accelerators from Nvidia and Advanced Micro Devices or x86-based co-processors from Intel to help improve the performance of their high-performance computing (HPC) systems while keeping down the power consumption. On the latest Top500 list of the world's fastest supercomputers published in June, 62 of the systems used accelerators, up from 53 in November 2013. Forty-four used Nvidia GPUs, two used Radeons from AMD, and 17 ran Intel's Xeon Phi products.
"We definitely see a growing demand from our customers for more accelerated workloads," he said, adding that not all HPC applications will need all that power. However, an increasing number of applications in such areas as high-frequency trading, digital imaging analysis, weather forecasting and genome sequencing can take advantage of the large number of GPUs on the new system.