PPT-Snoop cache

AMANO Hideharu Keio University hungaam ics keio ac jp Textbook 　 pp4060 Cache memory A small high speed memory for storing frequently accessed datainstructions. 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  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. Andrew Putnam, Susan Eggers. Dave Bennett, Eric Dellinger, Jeff Mason, . Henry Styles, . Prasanna. . Sundararajan. , Ralph Wittig. University of . Washington. -- CSE. Xilinx Research Labs. High-Performance Computing. AMANO, Hideharu. Textbook pp.60-68. Fork-join: Starting and finishing parallel processes. fork. Usually, these processes (threads). can share variables. fork. join. join. Fork/Join is a way of synchronization. and . Coarse-Grain Memory Tracking. Andreas . Moshovos. Univ. of Toronto/ECE. Short Course at the University of Zaragoza, July 2009. Some slides by J. . Zebchuk. or the original paper authors. JETTY . Aanjhan . Ranganathan (. ETH Zurich. ). , . Ali . Galip. . Bayrak. (. EPFL. ), . Theo . Kluter. . (. BFH. ), . Philip . Brisk (. UC Riverside. ), . Edoardo. . Charbon. (. TU Delft. ), Paolo . Ienne. Calvin . cordozar. . broadus. . jr.. “If it’s flipping hamburgers at McDonald’s, be the best hamburger flipper in the world. Whatever it is you do you have to master your craft.”. BACkground. Jaehyuk Huh. Computer Science, KAIST. Part of slides are based . on . CS:App. from CMU . Two Classes of Protocols. Sharing state. : which caches have a copy for a given address?. Snoop-based protocols. Alex . Humes. Pd. . 6. Background. Born Oct. 20, 1971 in Long Beach, California, United States. Raised in Eastside, Long Beach, California, United States. Was the second of three sons to mother Beverly Broadus and father . 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. March 28, 2017. Agenda. Review from last lecture. Cache access. Associativity. Replacement. Cache Performance. Cache Abstraction and Metrics. Cache hit rate = (# hits) / (# hits # misses) = (# hits) / (# accesses). 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. ABSTRACTCachecoherencyiscrucialtomulti-coresystemswithasharedmemoryprogrammingmodel.Coherencyprotocolshavebeenformallyveriedatthearchitecturallevelwithrelativeease.However,severalsubtleissuescreep