PPT-High Performance Cache

Replacement Using ReReference Interval Prediction RRIP Aamer Jaleel Kevin B Theobald Simon C Steely Jr Joel Emer Intel Corporation 1 20 The ACM IEEE International Symposium on Computer Architecture . for . Programs. Daniel Crowell, . Wenbin. Fang, and Evan . Samanas. Summary. A flexible framework for microarchitecture . adaptivity. , which separates software policies from hardware mechanism. C. ase study: adaptive cache. 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. on . Clustered Cache Architectures. Wim Heirman. 1,2. Trevor E. Carlson. 1. Kenzo Van Craeynest. 1. Ibrahim Hur. 2. Aamer Jaleel. 2. Lieven Eeckhout. 1. 1 . Ghent University. 2 . Intel Corporation. Improve Your Cloud Performance. (at Your Neighbor's Expense). (Venkat)anathan Varadarajan,. Thawan Kooburat,. Benjamin Farley,. Thomas Ristenpart, . and Michael Swift. 1. Department of Computer Sciences. Aamer . Jaleel*. , . Joseph . Nuzman. , Adrian . Moga. ,. Simon Steely Jr., Joel . Emer. *. Intel Corporation, . VSSAD. ( . *. Now at NVIDIA ). International Symposium on High Performance Computer Architecture (HPCA-2015). Systems. Distributed Shared Memory. Prof. Chung-Ta King. Department of Computer Science. National Tsing Hua University, Taiwan. (Slides are from textbook, . Prof. . O. . Mutlu. , Prof. . Hsien-Hsin. Lee. Strassen’s. Algorithm . Jianyu. Huang. STRASSEN. with . Tyler M. Smith, Greg M. Henry, Robert A. van de . Geijn. STRASSEN. , from 30,000 feet. *Overlook of the Bay Area. Photo taken in Mission Peak Regional Preserve, Fremont, CA. Summer 2014.. Why it works: The principle of locality. How it . works. : The architectural details. Von Neumann Architecture. Cost/performance analysis is a constant theme in computer engineering ‒ which is why the proper choice of performance metric is important. 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). Cache Memory and Performance Many of the following slides are taken with permission from Complete Powerpoint Lecture Notes for Computer Systems: A Programmer's Perspective (CS:APP) Randal E. Bryant Providing High and Predictable Performance in Multicore Systems Through Shared Resource Management Thesis Defense Lavanya Subramanian 1 Committee: Advisor: Onur Mutlu Greg Ganger James Hoe Ravi Negin Sobhani . 1,2. , . Davide. Del Vento. 2. ,David Gill. 2. , Sam Elliot. 3,2. ,and . Srinath. Vadlamani. 4. 1. 1 . University of Iowa . 2. National Center for atmospheric Research(NCAR) . 3. Distributed Auto-Tuning. Samuel . Williams, Leonid . Oliker. Jonathan Carter, John . Shalf. 1. Lawrence Berkeley National Laboratory. . SWWilliams@lbl.gov. Introduction. Management of . data locality and data movement . SNIA Forward Looking Information Disclosure Statement. 2. This SNIA presentation as part of the industry EPA ENERGYSTAR Data Center Storage Stakeholders Meeting November 18 2015  may include timetables, roadmaps, new technologies entering the...