PPT-Synthesizing Effective Data Compression Algorithms for GPUs

Annie Yang and Martin Burtscher Department of Computer Science Highlights MPC compression algorithm Brandnew lossless compression algorithm for single and doubleprecision floatingpoint data. &. Miriam . Leeser. Dana Brooks. mel@coe.neu.edu brooks@ece.neu.edu. 1. This . work . is supported by: . NSF . CenSSIS. - The Center for Subsurface Sensing and Imaging. Alan . Gray. EPCC . The University of Edinburgh. Outline. Why do we want/need accelerators such as GPUs?. Architectural reasons for accelerator performance advantages . Latest accelerator Products. NVIDIA and AMD GPUs. Wafer-scale . Graphene. Zhaofu. ZHANG. 2022 2056. 1. Outline. . Graphene. and its applications. Synthesizing . graphene. . Mechanical . exfoliation. CVD . on . metal substrate. . Epitaxial growth on . Bitcoin. Miner for the OR1200. Tom Tracy II. ECE 6502 – ASIC/SOC. Spring 2014. How . bitcoin. works, by Joshua J. Romero, Brandon Palacio & . Karlssonwilker. Inc.. Miners are paid 50 . Bitcoins. Marc S. Orr. †§. , Bradford M. Beckmann. §. , Steven K. Reinhardt. §. , David A. Wood. †§. ISCA, June 16, 2014. †. §. Executive Summary. SIMT languages (e.g. CUDA & . OpenCL. ) restrict GPU programmers to regular parallelism. Sathish. . Vadhiyar. List Ranking on GPUs. Linked list prefix computations – computations of prefix sum on the elements contained in a linked list. Irregular memory accesses – successor of each node of a linked list can be contained anywhere. Supercomputing. The Next wave of HPC. Presented by Shel Waggener. HP Materials from Marc Hamilton. June. , . 2011. © Copyright 2011 Hewlett-Packard Development Company, L.P.    . GPUs – changing the Economics of Supercomputing. openacc. Ebad. . Salehi. , Ahmad . Lashgar. and . Amirali. . Baniasadi. Electrical and Computer Engineering Department. University of Victoria. This Work. Motivation: Effective memory bandwidth usage is needed to achieve high performance in GPUs.. PhD Dissertation Defense. Nathan Brunelle. July 31, 2017. 1. Video of this presentation viewable at . https://. www.youtube.com/watch?v=GP2rmOz3ebI. Dissertation PDF: . http://www.cs.virginia.edu/~. njb2b/Brunelle_phdDissertation_UVACS_2017.pdf. Swati . Singhal. . 1. Alan Sussman . The 2nd International Workshop on Data Reduction for Big Scientific . Data. UMIACS and Department of Computer Science. D. ata. reduction is growing concern for scientific computing. panel discussions. HSF and its role in performance? . V: This is the question that we should keep in mind throughout the panel discussion . What is Computational Efficiency for you?. Holistic Performance Assessment? . Gennady Pekhimenko. ACM Student Research Competition. March, 2015. High . Performance Computing . I. s . E. verywhere. 2. Modern memory systems are . b. andwidth . c. onstrained. Energy . e. fficiency . areaDetector. . Slides: Mark . Rivers . GeoSoilEnviroCARS, Advanced Photon Source. University of . Chicago. EPICS meeting, ITER, June 2019. Presenter: Ulrik Kofoed Pedersen, Head of Beamline Controls. To compress or decompress – that is this session!. Melissa Connors. Melissa Connors. Senior Technical Writer / Special Projects Lead. Dog person / Befriender of chipmunks / Reader of books / Baker of cakes.