PPT-First look at data compression

Konstantin Androsov INFN Pisa amp University of Siena Massimo Minuti INFN Pisa Fabrizio Palla INFN Pisa Stamatios Poulios INFN Pisa amp University of Siena. Smash the information to bits. Overview. The primary goal of image compression is to minimize the memory footprint of image data so that storage and transmission times are minimized. . Storage capacity can be limited, as is the case with digital cameras. Introduction. Compression is the reduction in size of data in order to save space or transmission time. . Compression is the process of reducing the size of a file by encoding its data information more efficiently . at 75 Gb/s on a GPU. Molly A. O’Neil and Martin Burtscher. Department of Computer Science. Introduction. Scientific simulations on HPC clusters. Run on interconnected compute nodes. P. roduce . and transfer lots of . Tekin. . Bicer. , . Jian. Yin, David Chiu, . Gagan. . Agrawal. . and Karen . Schuchardt. Ohio State University. Washington State University. Pacific Northwest National Laboratories. 1. †. †. 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.. Sunil Agarwal. Senior Program Manager. Email: sunila@microsoft.com. Microsoft Corporation. SESSION CODE: DAT309. Required Slide. Agenda. Customer Experience and Feedback. Unicode Compression in SQL2008R2. 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. 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. The Transition from Text-Based Computing to the Graphical OS. In the early . 1980’s. desktop computers began to be introduced with GUI Operating Systems. The Apple Lisa and Macintosh as well as Microsoft’s Windows OS replaced typed (text only) commands for file and software application management with more user-friendly graphical manipulations with a new type of controller, the mouse. Using the mouse a user could move a file into a directory by clicking and dragging a graphical image of a file into the graphical image of a folder. These graphical images are associated with the files and directories they represent by standard commands of the OS that have been hidden from the user (this is call abstraction).. 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. Gennady Pekhimenko. § . Vivek Seshadri. §. Onur Mutlu. . §. . Michael A. Kozuch. †. Phillip B. Gibbons. † . Todd C. Mowry. . §. § . Carnegie Mellon University . † . Intel Labs Pittsburgh. Avishek Mukherjee and . Zhenghao. Zhang. Department of Computer Science. Florida State University. CSI is simply a complex vector containing the channel coefficients for each subcarrier in an OFDM system.. 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.