PPT-Compression

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. 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. Heap’s law . (empirically observed and postulated):. Size of the vocabulary (distinct terms) in a corpus. with total number of term occurrences . n. , and constants . ,  ( < 1),. classically 20, 0.5 (. 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?. 2-D Warping and Block Matching. Shinjini. . Kundu. Anand. . Kamat. . Tarcar. EE398A Final Project. 1. EE398A - Compression of Light Fields using 2-D Warping and Block Matching. Outline. Motivation and . 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.. Eric . Shea. M.S. Student. University of Pittsburgh. An . Ho. M.S. Graduate, University of Florida. (now at Harris). 2017 IEEE Aerospace Conference. Dr. Alan D. George. Mickle Chair Professor of ECE. Mikhail Gryaznevich. . 18th International Spherical Torus Workshop (ISTW 2015) . 3 – 6 November 2015, Princeton US . Plasma formation in ST40. ST40 has, like START&MAST, in-vessel merging-compression coils and only small solenoid. John Wiley & Sons. , 1984, Chapter 5.. Ref.2: Menon, Gas Pipeline Hydraulic, . Taylor & Francis. , 2005, Chapter 4.. Ref.3: GPSA Electronic Data Book, . Gas Processors Association. , 1998, Chapter 13.. On the Noise Level Estimation. PROPOSAL. SPRING 2015. ADVISOR: Dr. . K.R.Rao. Presented by, . . . Komandla. . Sai. . Venkat. ,. UTA id: 1001115386. Ling 573. Systems and Applications. May . 12, 2016. Roadmap. Sentence Compression:. Learning compression: Tree-based approach. Results & Discussion. Linguistic Quality:. Corpus study and analysis. Gennady Pekhimenko. § . Vivek Seshadri. §. Onur Mutlu. . §. . Michael A. Kozuch. †. Phillip B. Gibbons. † . Todd C. Mowry. . §. § . Carnegie Mellon University . † . Intel Labs Pittsburgh. 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..