PDF-Low-latency main memory compression framework
Author : celsa-spraggs | Published Date : 2017-03-19
thatcansignicantlydegradeperformanceTocounterthisproblempriorwork32539oncachecompressionproposedspecializedcompressionalgorithmsthatexploitregularpatternspresentininmemorydataandshowedthats
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Low-latency main memory compression framework: Transcript
thatcansignicantlydegradeperformanceTocounterthisproblempriorwork32539oncachecompressionproposedspecializedcompressionalgorithmsthatexploitregularpatternspresentininmemorydataandshowedthats. 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. Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br 11 3266 2453 4819 3483 4819 3483 3604 3604 Anthem Dentegra Dentegra Family Plan Type High Low High Low Low High Low High Low High Low Low Low Diagnostic Preventive DP 100 80 100 100 100 100 100 100 100 100 100 100 100 Basic Services 75 60 80 50 60 8 at Continuous 1 ms Resolution. Weixin Wu, Yujie Dong, Adam Hoover. Dept. Electrical and Computer Engineering,. Clemson University. What is system latency. Delay from when an event is sensed to when the computer “does something” (actuates). Mark Claypool and David . Finkel. {. claypool,dfinkel. }@cs.wpi.edu. Computer Science and. Interactive Media & Game Development. Worcester Polytechnic Institute. 1. Cloud-based Games. Connectivity and capacity of networks growing. A Main Memory . Compression Framework with . Low Complexity and Low Latency . Gennady Pekhimenko. , . Vivek. . Seshadri. . , . Yoongu. Kim, . Hongyi. . Xin. , . Onur. . Mutlu. , . Todd C. . Mowry. By. Abhay Chaudhary. Database Architect (IBM India Pvt.Ltd.). MCTS\MCITP : SQL Server 2005 , SQL Server 2008, SQL Server 2008 BI ,MCTS: SQL Server 2008 DB Developer , OCP 9i . 9+ years of Database Management experience .. Mark Claypool and David . Finkel. Worcester Polytechnic Institute. 1. In . Proceedings of the 13th ACM Network and System Support for Games (. NetGames. ). , . Nagoya, Japan, December 4-5, 2014. . Cloud-based Games. Keqiang He, . Weite. Qin, . Qiwei. Zhang, . Wenfei. Wu. , . Junjie. Yang, Tian Pan, . Chengchen. Hu, Jiao Zhang, Brent Stephens, Aditya . Akella. , Ying Zhang. 1. Bandwidth Allocation in Clouds . Reetuparna. Das. €. §. . Onur. Mutlu. †. . Thomas Moscibroda. ‡. . Chita Das. §. € . Intel Labs . §. PennState. . †. CMU . ‡. Microsoft Research. Network-on-Chip. Network-on-Chip. Openstack. *. Yunhong Jiang . Yunhong.Jiang@intel.com. *Other names and brands may be claimed as the property of others.. Agenda. NFV and network . l. atency. Why network latency on NFV. How to achieve . Practical Data Compression . for On-Chip Caches. Gennady Pekhimenko. . Vivek. . Seshadri. . . Onur. . Mutlu. . , Todd C. . Mowry. . . Phillip B. Gibbons* . Michael A. . Kozuch. *. *. Executive Summary. 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.. 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.
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