<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/FirePro_S10000_Angle_black_180.jpg” alt=”” width=”98″ height=”85″ />AMD is launching its most powerful graphics card yet: the dual-GPU FirePro S10000 promises 5.91 teraflops of peak single precision and 1.48 teraflops of peak double precision floating point performance. And with AMD’s “Graphics Core Next” (GCN) architecture under the hood, the S10000 can deliver compute and graphics processing simultaneously.
Petascale supercomputing is coming to one of the least populated states in the US.
At SC11 in Seattle, the stage is set for data-intensive computing to steal the show. This year’s theme correlates directly to the “big data” trend that is reshaping enterprise and scientific computing. We give an insider’s view of some of the top sessions for the big data crowd and a broader sense of how this year’s conference is shaping up overall.
AMD pitches FirePro V7800P against NVIDIA’s Tesla M2070Q.
Visualization, supercomputing, and the instruments feeding them data are being merged to produce some rather stunning results.
3D heart model provides medical students with authentic learning experience.
Advanced imaging facilities at the the Australian Synchrotron and Monash University will leverage the power of GPUs.
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover the computing power on display at SC10’s Student Cluster Competition; the University of Portsmouth’s new supercomputer; IBM Watson’s SUSE Linux platform; multicore advances at North Carolina State; and Intel’s new approach to university funding.
Earl Dodd argues that for the HPC cloud to gain practical acceptance as a viable decision-support tool in a wide variety of businesses and industries, it must include Remote Interactive 3D Visualization as a fundamental component of its architecture. Without this vital functionality, the HPC cloud runs the risk of being considered a technological novelty with limited commercial success. However, there are some persistent non-technical barriers that are preventing the full emergence of a broad new user group in the high-performance computing in the cloud space.
Johns Hopkins University researchers are developing a specialized machine for uncovering hidden patterns in data; and Appro HyperPower Cluster will support data analysis at Lawrence Livermore National Laboratory. We recap those stories and more in our weekly wrapup.