PPT-Web Cache

Characterizing Roles of Frontend Servers in End to End Performance of Dynamic Content Distribution 46842197 Li ZHANG 78884704 Dakuo WANG 30165502 Xuejie SUN. Client sends HTTP request 2 Web Cache responds immediately if cached object is available 3 If object is not in cache W eb Cache requests object from Application Server 4 Application Server generates response may include Database queries 5 Applicatio Autumn 2006 CSE P548 Cache Coherence 6 A Lowend MP brPage 4br Autumn 2006 CSE P548 Cache Coherence 7 Cache Coherency Prot ocol Implementations Snooping used with lowend MPs few processors centralized memory busbased distributed implementation  Stefan . Schackow. Program Manager. Microsoft Corporation. PC41. What's the current state?. Why is it changing?. How are we changing it?. .NET Framework Caching. A great in-memory object cache in ASP.NET. George Kurian. 1. , Omer Khan. 2. , . Srini. . Devadas. 1. 1 . Massachusetts Institute of Technology. 2 . University of Connecticut, Storrs. 1. Cache Hierarchy Organization. Directory-Based Coherence. S. Narravula, P. Balaji, K. Vaidyanathan, . S. Krishnamoorthy, J. Wu and D. K. Panda. The Ohio State University. Presentation Outline. Introduction/Motivation. Design and Implementation. Experimental Results. ENCODER. EEL 6935 Embedded Systems. Long Presentation 2. Group Member: Qin Chen, Xiang Mao. ECE@UFL. 4/2/2010. 1. Outline. Design goals and challenges. Video encoding basics. Memory/cache optimization. with Inclusive Caches . Temporal Locality Aware (TLA) Cache Management Policies. Aamer Jaleel, Eric Borch, Malini Bhandaru,. Simon Steely Jr., Joel Emer. In International Symposium on Microarchitecture (MICRO). Varun. . Mathur. Mingwei. Liu. 1. I-cache and address tag . Instruction cache has. Large chip area. High access frequency=>switching power. Example:. Direct mapped I-cache. 1024 entries (=>1024 one way sets). Mark Gebhart. 1,2 . Stephen W. Keckler. 1,2. Brucek Khailany. 2. Ronny Krashinsky. 2. . William J. Dally. 2,3. 1. The University of Texas at Austin . 2. NVIDIA . 3. Stanford University. Methodology. Stefan . Podlipnig. , Laszlo . Boszormenyl. University Klagenfurt. ACM Computing Surveys, December 2003. Presenter: . Junghwan. Song. 2012.04.25. Outline. Introduction. Classification. Recency. -based. Matthew D. . Sinclair et. al. UIUC. Presenting by. Sharmila. . Shridhar. SoCs. Need an . Efficient Memory Hierarchy. 2. Energy-efficient memory hierarchy is . essential. Heterogeneous . SoCs. use . Smruti R. Sarangi, IIT Delhi. Contents. Overview of the Directory Protocol. Details. Optimizations. Basic Idea of a Coherence Protocol. Memory Level . n. Memory Level . n+2. Private Cache. Private Cache. Lecture for CPSC 5155. Edward Bosworth, Ph.D.. Computer Science Department. Columbus State University. The Simple View of Memory. The simplest view of memory is . that presented . at the ISA (Instruction Set Architecture) level. At this level, memory is a . With a superscalar, we might need to accommodate more than 1 per cycle. Typical server and . m. obile device. memory hierarchy. c. onfiguration with. b. asic sizes and. access times. PCs and laptops will.