PPT-GPGPU overview

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. 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 . View this slide show with the Notes Page activated. Then use the bar on the right-hand side to scroll down to read more.. . Commonwealth Vernacular/Definitions: . . Agencies: DOA, VRS, DHRM. 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. 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 . Anthony Waterman. Topics to Discuss. Are online games . c. onceptually. . p. arallel?. What portions of a game benefit from parallelization?. Graphics Processing Units (GPUs) . General-Purpose . C. omputing . TECHNICAL OVERVIEW Expediente Overview 2 EXPEDIENCE TECHNICAL OVERVIEW a) Introduction Motorola‟s EXPEDIENCE Platform is an Indoor NLOS (Non Line Of Sight) Wireless Broadband platform speci . View this slide show with the Notes Page activated. Then use the bar on the right-hand side to scroll down to read more.. . Commonwealth Vernacular/Definitions: . . Agencies: DOA, VRS, DHRM. . 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 . AIXM Procedure Modelling/Encoding seminar. Brussels – 01/02 Sept 2010. Hubert LEPORI. Eurocontrol AIM Unit. Overview of the AIXM 5.1 Procedure Model. 2. Content. Context & History. Overview of the Procedure Model. 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. Niladrish Chatterjee. Mike O’Connor. Gabriel H. . Loh. Nuwan. . Jayasena. Rajeev . Balasubramonian. Irregular GPGPU Applications. Conventional GPGPU workloads access vector or matrix-based data structures. . 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 . Jason Jong Kyu Park. 1. , . Yongjun. Park. 2. , and . Scott . Mahlke. 1. 1. 1. University . of . Michigan, . Ann . Arbor. 2. Hongik University. GPUs in Modern Computer Systems. 2. GPU is now a default.