PDF-nvidia corporation 2011

CUDA CC Basics Supercomputing 2011 Tutorial Cyril Zeller NVIDIA Corporation. D Number Corporation Number Corporation Name Mailing Address City State Zip Code Return this voucher with your payment Make checks payable to State of New Jersey CBT Write the Federal ID number and tax year on the check Mail To Corporation Business Why NVIDIA GeForce Motherboard GPUs? NVIDIA ITS Research Computing. Mark Reed . Objectives. Learn why computing with accelerators is important. Understand accelerator hardware. Learn what types of problems are suitable for accelerators. Survey the programming models available. Lunch and Learn: The Agile PMP. ®. and your career. © 2007–2011 XoJom Corporation. Goals for today’s session…. 2. © 2007 – 2011 XoJom Corporation. All rights reserved. www.XoJom.com. …and have the opportunity and privilege of helping you inaugurate a new satellite location!. NVIDIA Corporation 2701 San Tomas Expressway Santa Clara, CA 95050 www.nvidia.com Decimation filters are commonly performed by applications prior to performing large low-ecial effects. This code s OpenACC. Directives. subroutine . saxpy. (n, a, x, y) . real :: x(:), y(:), a. integer :: n, . i. $!. acc. kernels. do . i. =1,n.   y(. i. ) = a*x(. i. )+y(. i. ). . enddo. $!. acc. end kernels. GDC 2011 NVIDIA GDC 2011 NVIDIA SPONSORED SESSIONS Samuel Gateau, NVIDIA Dominic Filion , Blizzard Stereoscopic 3D Demystified : From Theory to Implementation in Starcraft 2 GDC 2011 NVIDIA SPONSORE Presented by:. Sean Ingraham - . FirstService. Residential . Jamie Bleay - Access Law Group. Introduction. Awareness of powers and duties, roles and responsibilities and what can and should be delegated is essential to avoid internal and external challenges to decision-making, including financial and non-financial decisions.. ECE 498AL, University of Illinois, Urbana-Champaign. 1. GPU Programming with CUDA . © David Kirk/NVIDIA and Wen-mei W. Hwu, 2007-2009. ECE 498AL, University of Illinois, Urbana-Champaign. 2. A quiet revolution and potential build-up. Add GPUs: Accelerate Science Applications. © NVIDIA 2013. Small Changes, Big Speed-up. Application Code. . GPU. C. PU. Use GPU to Parallelize. Compute-Intensive Functions. Rest of Sequential. CPU Code. heterogeneous programming. Brian Gregor. bgregor@bu.edu. Research Computing Services. Boston University. CUDA C/C BASICS. NVIDIA . Corporation. © NVIDIA 2013. What is CUDA?. CUDA Architecture. Expose GPU parallelism for general-purpose computing. Corporation. © NVIDIA 2013. What is CUDA?. CUDA Architecture. Expose GPU parallelism for general-purpose computing. Retain performance. CUDA C/C . Based on industry-standard C/C . Small set of extensions to enable heterogeneous programming. Waters. Introduction to GPU Computing. Brief History of GPU Computing. Technical Issues. Social Impact. Marketing and Ethical . Issues. Project Management. Conclusion. Table of Contents. A . GPU is . Microsoft. Web and TV Workshop. 2011.09.20. Internet Television. S. tandards and industry specifications which should . be . supported:. MPEG DASH (Dynamic Adaptive Streaming with HTTP). MPEG Common Encryption/Multi-DRM.