PPT-Network Compression and Speedup

Shuochao Yao Yiwen Xu Daniel Calzada Network Compression and Speedup 1 Source httpisca2016eecsumichedu wp contentuploads2016074A1pdf Network Compression and Speedup 2 Why smaller models. 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. Getting to Yes. V0.1 W Saltzman. What is Economic Nseries. A solution to:. Return capacity to free pool to save money. Reduces amount of data for back ups thereby reducing network bandwidth to save more money. 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 (. : . A . Toolchain. To Help Parallel Programming . Minjang Kim, Hyesoon Kim, . HPArch. Lab, and Chi-Keung . Luk. Intel. This work will be also supported by Samsung. Motivation (1/2). Parallel programming is hard. Aditya Akella. UW-Madison. Shuchi. . Chawla. . Ashok . Anand. . Chitra. . Muthukrishnan. UW-Madison. Srinivasan. . Seshan. . Vyas. . Sekar. CMU. . Ram . Ramjee. MSR-India. Scott . Shenker. UC-Berkeley. We will use a quantitative approach to analyze architectures and potential improvements and see how well they work (if at all). We study RISC instruction sets to promote instruction-level, block-level and thread-level parallelism. 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. David Hay . With . Anat Bremler-Barr, Daniel . Krauthgamer. , . Shimrit. . Tzur. David. This research was supported by ERC starting grant 259805. URL Matching. 2. Action . URL. . A1. work. .. com. Bon Secours College for Women . Thanjavur. . Multimedia and Digital Video . Multimedia information is more than the plain text. . It includes graphics, animation, sound and video. . One type of multimedia that is becoming a key technology for e – commerce: digital video.. 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.. Samveed. Desai. Research Intern. IISc. Bangalore. Problem Statement. Image Compression using Neural Networks. Methods researched upon throughout the internship—. GAN – Generative Compression. RNN – LSTM Model. quantitative approach to analyze architectures and potential improvements and see how well they work. We study RISC instruction sets to promote . instruction-level, block-level and thread-level parallelism. Performance of Computer System. Various factors. Depends on. Scalability: . Computer Performance . Number of processors used. Measuring performance of parallel computer architecture for large-scale applications require very good understanding of...