PPT-Decoupled Dynamic Cache Segmentation

Samira M Khan Zhe Wang and Daniel A Jiménez The University of Texas at San Antonio 18th International Symposium on High Performance Computer Architecture 2012 Introduction Least Recently Used LRU replacement policy. The coupling is describ ed through a communication graph where each system is a node and the control action at each node is only function of its sta te and the states of its neighbors A distributed control desig method is presented which requires th 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 Message Passing Sharedmemory single copy of shared data in memory threads communicate by readingwriting to a shared location Messagepassing each thread has a copy of data in its own private memory that other threads cannot access threads communicate Exploiting . Spatial Locality . for Energy-Optimized . Compressed Caching. Somayeh. . Sardashti. and . David . A. . Wood. University . of Wisconsin-Madison. 1. 2. 3. Where does energy go?. Communication vs. Computation. 6. Objectives. Explain STP Process. Segmentation Bases. Target Segment Criteria. Elements of Effective Positioning. Creating Brand Value/Equity. STP Marketing & the Evolution of Marketing Strategy. Daphne . Laino. and Danielle Roy. What is Segmentation?. Process of partitioning an image into segments. Segments are called . superpixels. Superpixels. are made up several pixels that have similar properties. Characterizing Roles of Front-end Servers in . End. -to-. End. . Performance of Dynamic Content Distribution . 46842197. Li . ZHANG. 78884704 . . Dakuo WANG. 30165502 . . Xuejie. SUN. and . its usage . in . the real . world. Ivan . Chepurnyi. Owner. EcomDev. BV. About me. Meet Magento. Technical Consultant, Owner at EcomDev B.V.. Started as one of the first five developers in original Magento core team. Exploiting . Spatial Locality . for Energy-Optimized . Compressed Caching. Somayeh. . Sardashti. and . David . A. . Wood. University . of Wisconsin-Madison. 1. 2. 3. Where does energy go?. Communication vs. Computation. Dr. Ananda Hussein. Ford. ’. s Model T Followed a Mass Market Approach. Four levels of Micromarketing. Segments. Local areas. Individuals. Niches. What is a Market Segment?. A . market segment. consists of a group of customers who share a similar set of needs ad wants. . 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. Direct-mapped caches. Set-associative caches. Impact of caches on performance. CS 105. Tour of the Black Holes of Computing. Cache Memories. C. ache memories . are small, fast SRAM-based memories managed automatically in hardware. Presented by: Nadjib BRAHIMI, PhD Equipe : Systèmes Logistiques et de Production Département d’automatique , Productique et Informatique Ecole des Mines de Nantes Integrated and Decoupled Models for the Production Routing Problem with Backlogging TLC: A Tag-less Cache for reducing dynamic first level Cache Energy Presented by Rohit Reddy Takkala Introduction First level caches are performance critical and are therefore optimized for speed. Modern processors reduce the miss ratio by using set-associative caches and optimize latency by reading all ways in parallel with the TLB(Translation Lookaside Buffer) and tag lookup.