| NVIDIA CUDA: Week in Review Issue 64 |
| Thursday, 03 November 2011 | ||
NVIDIA CUDA: Week in Review Issue 64CUDA SPOTLIGHT: GPU-Accelerated Real ScienceThis week's Spotlight is on Dr. Jeffrey Vetter of Oak Ridge National Laboratory and Georgia Tech. Here's an extract from our interview. NVIDIA: Jeff, what is the focus of your work? Jeff: Over the last decade, I have been investigating hardware and software technologies that will most likely appear in future supercomputer systems, and which of those technologies best satisfy specific application workloads. I have worked on a number of projects: IBM BlueGene/L, Cray X1, Cray XT, FPGAs, GPUs and other technologies. Our team's early work has contributed to the design and deployment of the NSF Keeneland system and the DOE Titan system.... NVIDIA: What are the key drivers in supercomputing today? Jeff: From the facility or data center perspective, the key driver is the energy required for running large scale supercomputers. This is not just a prediction. Look at most contemporary supercomputing facilities: they are often limited by the amount of power that can be physically delivered to the computer in the building.... On the other hand, applications developers are most concerned about programmability. The last significant transition for the scientific computing community was the transition in the 1990s from vector computing to distributed memory computing with MPI. In order to provide solutions to these questions, our team is investigating multiple fronts: CUDA, compiler directives, runtime libraries, frameworks and debugging and correctness tools. It is an exciting time to be in computer science! NVIDIA: How does CUDA fit into the modern computing landscape? Jeff: CUDA is a phenomenon. In less than five years, the CUDA programming model has grown from its initial introduction to wide adoption. It is easy to forget how challenging it was to program GPUs prior to CUDA. These days, CUDA is so pervasive that many students get their first introduction to parallel programming and fine-grained parallelism with CUDA on their laptop GPU.... Read the complete interview with Jeff Vetter: https://developer.nvidia.com/cuda-spotlight-hall-fame CUDA DEVELOPER NEWSOak Ridge National Laboratory (ORNL), which operates the world's premier open science computing facility for the U.S. Department of Energy, will deploy a new supercomputer called Titan, based on Tesla GPUs. The system will be used across fields such as materials science, energy technology, medical research and more. See: https://bit.ly/rUlAQF GTC 2012 Submission Deadline: Proposals must be submitted by Thurs., Nov. 3, 2011. See: https://gtc-submissions.confreg.com/ The Cornell University Center for Advanced Computing (CAC) launched Red Cloud, an on-demand research supercomputing service available by subscription. The basic offering, called "Red Cloud," runs Eucalyptus, the open source cloud computing platform. The second offering, "Red Cloud with MATLAB," runs MATLAB Distributed Computing Server. Red Cloud services run on Dell PowerEdge C servers. See: www.cac.cornell.edu/redcloud Intergraph announced a new release of its GeoMedia Motion Video Analyst solution with CUDA acceleration. GeoMedia Motion Video Analyst speeds the process of creating images from full motion video. See: https://bit.ly/pBjGMX
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