PPT-Smaller and Faster: Data Compression in

areaDetector Slides Mark Rivers GeoSoilEnviroCARS Advanced Photon Source University of Chicago EPICS meeting ITER June 2019 Presenter Ulrik Kofoed Pedersen Head of Beamline Controls. PUTTIN THE SQUEEZE ON!!. NORTHEAST WYOMING SKIN AND WOUND SYMPOSIUM. OBJECTIVES. 1. Understand the role compression play in wound care. 2. Understand the types of compression options available in wound care. 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 . Annie . Yang and Martin Burtscher*. Department of Computer Science. Highlights. MPC compression algorithm. Brand-new . lossless . compression algorithm for single- and double-precision floating-point data. 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. †. †. Shuochao Yao, Yiwen Xu, Daniel Calzada. Network Compression and Speedup. 1. Source: . http://isca2016.eecs.umich.edu/. wp. -content/uploads/2016/07/4A-1.pdf. Network Compression and Speedup. 2. Why smaller models?. 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. Srivastav. PROBLEM. Image require a lots of space as file & can be very large. They need to be exchange from various imaging system. There is a need to reduce both the amount of storage Space & transmission time.. MISTAKEPROOFINGPokaYoke SIMPLER. FASTER. BETTER. LESS COSTLY. PokaYokeEnsuresproperconditionsexistbeforeexecutingprocessstep,preventingdefectsfromfirst SIMPLER. FASTER. BETTER. LESS COSTLY. Poka 1. Image Compression . Image compression involves reducing the size of image data file, while is retaining necessary information, the reduced file is called the compressed file and is used to reconstruct the image, resulting in the decompressed image. The original image, before any compression is performed, is called the uncompressed image file. The ratio of the original, uncompressed image file and the compressed file is referred to as the . 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. with Low Complexity and Low Latency . Gennady Pekhimenko, Advisers: Todd C. Mowry and Onur Mutlu (Carnegie Mellon University). Executive Summary. Main memory is a limited shared resource. . Observation.