'Hit ratio' diaporamas de présentation

Memory Hierarchy, Caching, Virtual Memory

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Chapter 5

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CS352H: Computer Systems Architecture

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Processor

Processor - Memory Interface. Memory m ust be random access memory - memory in which individual memory locations can be accessed in any order at the same high speed. Memory. Instructions and data.

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Summary Cache: A Scalable Wide-Area Web Cache Sharing Protocol

Summary Cache: A Scalable Wide-Area Web Cache Sharing Protocol. By Abuzafor Rasal and Vinoth Rayappan. Web caching. HTTP request. 1. 2. HTTP response. 1. Client1. 2. 1. 1. 2. Client2. 2. 1. Cache. 2. Server. Client3. Web Cache Sharing. Rest of Internet. Bottleneck.

623 views • 46 slides

Materialized View Selection for XQuery Workloads

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Web Caching and Content Distribution: A View From the Interior

Web Caching and Content Distribution: A View From the Interior. Syam Gadde Jeff Chase Duke University Michael Rabinovich AT&T Labs - Research. Overview. Analytical tools have evolved to predict behavior of large-scale Web caches.

462 views • 38 slides

On the Sensitivity of Web Proxy Cache Performance to Workload Characteristics

On the Sensitivity of Web Proxy Cache Performance to Workload Characteristics. Mudashiru Busari Carey Williamson Department of Computer Science University of Saskatchewan. Talk Outline. Introduction and Motivation ProWGen: Proxy Workload Generator Tool for Synthetic Web Proxy Workloads

541 views • 35 slides

Caches

Caches. Hakim Weatherspoon CS 3410, Spring 2012 Computer Science Cornell University. See P&H 5.1, 5.2 (except writes). Big Picture: Memory. Memory: big & slow vs Caches: small & fast. compute jump/branch targets. memory. register file. A. alu. D. D. +4. B. addr. PC. d in.

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Summary Cache: A Scalable Wide-Area Web Cache Sharing Protocol

Summary Cache: A Scalable Wide-Area Web Cache Sharing Protocol. Author: Li Fan, et al. Print: JSAC 98 Presentation: Wonyoung Park [Communication Networks Research Lab]. Introduction. Web cache sharing Reduce Web traffic Alleviate network bottlenecks. Web Cache Sharing. Harvest project

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PA Man Coordinated Memory Caching for Parallel Jobs

PA Man Coordinated Memory Caching for Parallel Jobs. Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica. Data Analytics Clusters.

348 views • 25 slides

Submitting: Barak Pinhas 037584042 Gil Fiss 031801731 Laurent Levy 921012076

A Programable Caching Cluster Director. Submitting: Barak Pinhas 037584042 Gil Fiss 031801731 Laurent Levy 921012076. Caching by proxy servers.

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CS5226 2002 Operating System & Database Performance Tuning

CS5226 2002 Operating System & Database Performance Tuning. Xiaofang Zhou School of Computing, NUS Office: S16-08-20 Email: zhouxf@comp.nus.edu.sg URL: www.itee.uq.edu.au/~zxf. Outline. Part 1: Operating systems and DBMS Part 2: OS-related tuning.

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Vlasia Anagnostopoulou (vlasia@cs.ucsb),

Energy Conservation in Datacenters through Cluster Memory Management and Barely-Alive Memory Servers. Vlasia Anagnostopoulou (vlasia@cs.ucsb.edu), Susmit Biswas, Alan Savage, Ricardo Bianchini*, Tao Yang, Frederic T. Chong Department of Computer Science, UC Santa Barbara

340 views • 18 slides

CACHE MEMORY

CACHE MEMORY. Maninder Kaur professormaninder@gmail.com. What is Cache Memory?. Cache memory is a small, high-speed RAM buffer located between the CPU and main memory.

358 views • 18 slides

Energy Efficient Register Renaming

Energy Efficient Register Renaming. Gurhan Kucuk, Oguz Ergin, Dmitry Ponomarev, Kanad Ghose Department of Computer Science State University of New York Binghamton, NY 13902-6000 http://www.cs.binghamton.edu/~lowpower.

345 views • 16 slides

Query optimization in relational DBs

Query optimization in relational DBs. Leveraging the mathematical formal underpinnings of the relational model. Pre-processing a query . Convert SQL to algebra Create a binary parse tree Assign execution fragments to each interior node. Optimizing a query: stage 1.

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Web Proxy Caching: The Devil is in the Details Ramon Caceres, Fred Douglis, Anja Feldmann

Web Proxy Caching: The Devil is in the Details Ramon Caceres, Fred Douglis, Anja Feldmann. Proceedings of the Workshop on Internet Server Performance, Madison, WI, June 23 1998. Young-Ho Suh Network Computing Lab. KAIST. Contents. Introduction Previous work Solution approach Simulation

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Lect 13: Cache Memory

Lect 13: Cache Memory. Cache Memory. Large main memory system: High-capacity, relatively slow speed dynamic RAMs and EPROMs: 60ns or 70ns Processor speed: requires DRAMs with 30 or 40ns, Latest processors : 10ns 20ns Cache memory: small high-speed expensive static RAMs

217 views • 8 slides

Quiz3 - Answer 1

Quiz3 - Answer 1. The CPI (Cycles Per Instruction) for the first program is the sum of the frequency of each instruction type multiplied by the instruction type: 0.17*7 + 0.63*4 + 0.10*12 + 0.10*3 = 5.21 For the second program the CPI is 1 as each and every instruction takes 1 cycle. Answer 2.

113 views • 3 slides