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Slidecast: GPU Computing and the Road to Extreme-Scale Parallel Systems


In this slidecast, Nvidia’s Steve Keckler describes the evolutionary path of GPU computing and where it’s heading on the road to Exascale computing. Keckler is part of the team working on the company’s Echelon research project, which is looking into technologies that will eventually enable an Exaflop supercomputer to operate at under 20 Megawatts.

Nvidia’s Echelon extreme-scale computing project is partly funded by DARPA under the Ubiquitous High Performance Computing (UHPC) program. The other UHPC program teams include the X-Caliber team led by Sandia National Laboratories, the Intel UHPC Runnemede team, and the Angstrom team led by MIT.

The Ubiquitous High Performance Computing (UHPC) program seeks to develop the architectures and technologies that will provide the underpinnings, framework and approaches for the resolution of power consumption, cyber resiliency, and productivity problems. The UHPC program aims to develop computer systems, from embedded to cabinet level, which have extremely high energy efficiency and are dependable and easily programmable. These systems will have dramatically reduced power consumption while delivering a thousand-fold increase in processing capabilities. Dependability technologies developed under the UHPC program will provide adaptable and hardened cyber resilient computer systems. Productivity will be significantly improved by developing scalable, highly programmable computer systems that will not require significant system expertise for the development of high performance applications.

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