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. Xtreme Compression, Inc. is a software design consultancy with special expertise in structured data compression. We apply our proprietary algorithms and source code to compress and encrypt structured data whenever performance beyond the reach of conventional methods is required. 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. 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. 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. †. †. 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.. 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. 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 . Practical Data Compression . for On-Chip Caches. Gennady Pekhimenko. . Vivek. . Seshadri. . . Onur. . Mutlu. . , Todd C. . Mowry. . . Phillip B. Gibbons* . Michael A. . Kozuch. *. *. Executive Summary. 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. is a . lossy compression. method used to . compress images. using . fractals. . The method is best suited for photographs of natural scenes (. trees. , . mountains. , . ferns. , . clouds. ). The fractal compression technique relies on the fact that in certain images, parts of the image resemble other parts of the same image.. Vocabulary alert:. Heuristic.  - a problem solving approach . (algorithm) . to find a satisfactory solution where finding an optimal or exact solution is impractical or impossible. .. Lossless Compression.