PPT-GPGPU introduction

Author : aaron | Published Date : 2017-11-11

Why is GPU in the picture Seeking exa scale computing platform Minimize power per operation Power is directly correlated to the area in the processing chips Regular

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GPGPU introduction: Transcript

Why is GPU in the picture Seeking exa scale computing platform Minimize power per operation Power is directly correlated to the area in the processing chips Regular CPU what are the chip areas going into. However in some cases it is possible to utilize device resources more e64259ciently by running kernels concurrently This raises questions about load balancing and resource allocation that have not previ ously warranted investigation For example what Computing Platform. Publication:. Ra . Inta. , David J. Bowman, and Susan M. Scott. . Int. J. . Reconfig. . . Comput. . 2012, . Article . 2 (January 2012), 1 pages. . DOI=10.1155/2012/241439. . Naveen R. Iyer Kowshick . Ang. . Li. University . of . Wisconsin-Madison. Outline. Brief Introduction of Background. Implementation. Evaluation. Conclusion. 3/20/2013. 2. NVIDIA GTC 2013. Background. JPEG Encoding. Parallelism Seeking. GPGPU Applications. Jaewoong Sim. Aniruddha Dasgupta . Hyesoon Kim Richard Vuduc. 1. Outline. Motivation. GPUPerf: . P. erformance analysis framework. Performance Advisor. Analytical Model. Frontend Data Collector. を協調利用する. ソフトウェア開発環境. GPGPU. 研究会. 佐藤功人. （. 1. ）. 滝沢寛之. （. 1. ）. 小林広明. （. 2. ）. （１）東北大学大学院情報科学研究科. Condor Week 2012. Bob Nordlund. Grid Computing @The Hartford…. Using Condor in our production environment since 2004. Computing Environment. Two pools (Hartford, CT and Boulder, CO). Linux central managers and schedulers. Jared . Coplin. and Martin . Burtscher. Department of Computer Science. 1. Introduction. GPU-based accelerators. Used in high-performance computing. Spreading in PCs and handheld . devices. 2. Power Characteristics of Irregular GPGPU Programs . Graphics Processing Unit (GPU). GPU is the . chip . in computer video cards, PS3, Xbox, . etc. Designed to realize the 3D graphics pipeline. Application .  Geometry  Rasterizer image. GPU development:. Viola-Jones Classifier . based Face Detection Algorithm. Sharmila Shridhar, Vinay Gangadhar, . Ram Sai Manoj. ECE . 759 Project Presentation. Fall . 2015. University of Wisconsin - Madison. 1. Executive Summary. Christopher Fritz. CSE691, May 2015. cvfritz@buffalo.edu. Agenda. Background – fine-grained power gating. Background – GPGPU . Prior Art. Our fine-grained value-based power gating . method. Ispass. . Installation. CS5100 Advanced . Computer Architecture. Introduction. . of. . Gem5-GPU. It. . merges . 2 popular simulators: gem5 and . gpgpu. -sim. Simulates . CPUs, GPUs, and the interactions between . Abbas Rahimi. ‡. , Luca . Benini. †. , Rajesh K. Gupta. ‡. ‡. UC San Diego, . †. University of Bologna . Micrel.deis.unibo.it. /. MultiTherman. Aging-Aware. Compiler-Directed VLIW Assignment for GPGPU Architectures . Reducing Branch Divergence in GPU Programs. . T. D. Han and T. Abdelrahman. GPGPU 2011. Reading. T. D. Han and T. Abdelrahman, “Reducing Branch Divergence in GPGPU Programs,” GPGPU 2011. Goal. Improve the utilization of the SIMD core. . Fisica. . Nucleare. (INFN). Italy. Accelerated Computing support . in EGI-Engage. Marco.Verlato (at pd.infn.it). Task part of WP4 (JRA2): Platforms for the Data Commons. Expand the EGI federated Cloud platform with new .

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