SC is the International Conference for
 High Performnance Computing, Networking, Storage and Analysis

SCHEDULE: NOV 13-19, 2010

High Performance Computing with CUDA

SESSION: S03: High Performance Computing with CUDA

EVENT TYPE: Tutorial

TIME: 8:30AM - 5:00PM

Presenter(s):Cyril Zeller, Paulius Micikevicius, Scott Morton, Mike Clark, Andrew Corrigan, John Stone

ROOM:391-392

ABSTRACT:
CUDA is a general purpose architecture for writing highly parallel applications. It provides several key abstractions--a hierarchy of thread blocks, shared memory, and barrier synchronization--for scalable high-performance parallel computing. Scientists throughout industry and academia use CUDA to achieve dramatic speedups on production and research codes. The CUDA architecture supports many languages, programming environments, and libraries including C/C++, Fortran, OpenCL, DirectCompute, Python, Matlab, FFT, LAPACK, etc. In this tutorial NVIDIA engineers will partner with academic and industrial researchers to present CUDA and discuss its advanced use for science and engineering domains. The morning session will teach the basics of CUDA C programming, give an overview of the various tools, and cover the main optimization techniques. The afternoon session will discuss best practices for tuning and profiling CUDA programs and close with real-world case studies from domain scientists using CUDA for computational biophysics, fluid dynamics, seismic imaging, and theoretical physics.

Chair/Presenter Details:

Cyril Zeller - NVIDIA

Paulius Micikevicius - NVIDIA

Scott Morton - Hess Corporation

Mike Clark - Harvard University

Andrew Corrigan - George Mason University

John Stone - University of Illinois at Urbana-Champaign

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