'Replacement policy' diaporamas de présentation

CS 519: Operating System Theory

Instructor: Liviu Iftode (iftode@cs) TA: Nader Boushehrinejadmoradi (naderb@cs) Fall 2011. CS 519: Operating System Theory. Logistics. Location and schedule: CoRE A, Thursdays from noon to 3 pm Instructor: Liviu Iftode Office: CoRE 311 Office Hours: Thursdays 10-11 am

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Today

Today. Memory hierarchy, caches, locality Cache organization Program optimizations that consider caches. How will execution time grow with SIZE?. int array[SIZE]; int A = 0; for (int i = 0 ; i < 200000 ; ++ i) { for (int j = 0 ; j < SIZE ; ++ j) {

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Chapter 6

Chapter 6. Memory. 6.1 Introduction. Memory lies at the heart of the stored-program computer. In previous chapters, we studied the components from which memory is built and the ways in which memory is accessed by various ISAs.

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CMPT 300 Introduction to Operating Systems

CMPT 300 Introduction to Operating Systems. Page Replacement Algorithms. Tertiary Storage (Tape). Processor. Caching. Control. Second Level Cache (SRAM). Main Memory (DRAM). Secondary Storage (Disk). On-Chip Cache. Datapath. Demand Paging.

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Hierarchy-aware Replacement and Bypass Algorithms for Last-level Caches

Hierarchy-aware Replacement and Bypass Algorithms for Last-level Caches. Mainak Chaudhuri Indian Institute of Technology, Kanpur & Jayesh Gaur 1 , Nithiyanandan Bashyam 1 , Sreenivas Subramoney 1 , Joseph Nuzman 2 1 Intel India 2 Intel Israel. Sketch. Talk in one slide

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Virtual Memory

Virtual Memory. Modern Operating systems can run programs that require more memory than the system has If your CPU is 32-bit, meaning that it has registers that are 32-bits , you can access up to 4G Which means you would need 4Gb of RAM in order to take advantage of this

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TOWARDS UNDERSTANDING DEVELOPING WORLD TRAFFIC

TOWARDS UNDERSTANDING DEVELOPING WORLD TRAFFIC. Sunghwan Ihm (Princeton) KyoungSoo Park (KAIST) Vivek S. Pai (Princeton). IMPROVING NETWORK ACCESS IN THE DEVELOPING WORLD. Internet access is a scarce commodity in the developing world: expensive / slow

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Buffer and File organization

Buffer and File organization. Review. DBMSs store data on disk Disk characteristics: 2 orders of magnitude slower than MM Unit of read/write operations a block/page (multiple of sectors) Access time = seek time + rotation time + transfer time Sequential I/O much faster than random I/O

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Realistic Memories and Caches Li- Shiuan Peh Computer Science & Artificial Intelligence Lab.

Realistic Memories and Caches Li- Shiuan Peh Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology. Three-Stage SMIPS. Register File. Epoch. stall?. PC. Execute. Decode. wbr. fr. +4. Data Memory. Inst Memory.

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Lecturer PSOE Dan Garcia cs.berkeley/~ddgarcia

inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture 34 Caches IV. Lecturer PSOE Dan Garcia www.cs.berkeley.edu/~ddgarcia. Thumb-based interfaces? ?. Microsoft and U Maryland are

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Lecturer PSOE Dan Garcia cs.berkeley/~ddgarcia

inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture 34 Caches IV. Lecturer PSOE Dan Garcia www.cs.berkeley.edu/~ddgarcia. Thumb-based interfaces? ?. Microsoft and U Maryland are

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Hsin Ten Enterprise Canada, Inc (HTE Canada): MP I Training Manual

Hsin Ten Enterprise Canada, Inc (HTE Canada): MP I Training Manual. Hsin Ten Enterprise Canada, Inc (HTE Canada): 30 West Beaver Creek Rd., Unit 10, Richmond Hill ON L4B 3K1 905-763-0888 Toll free 1-866-483-8888 www.htecanada.com Established since 2001. Company. Network Marketing:

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LRU-PEA: A Smart Replacement Policy for NUCA caches on Chip Multiprocessors

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ITEC 352

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Audience Recognition and Involvement

Audience Recognition and Involvement. Audience Recognition. Types of Audience. Audience Recognition. Determine whether your audience is High tech Low tech Lay Multiple. High Tech Audience. Work in your field of expertise Same department or similar capacity in other company

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By Fajin Wang Bosah M Marcel Heimlich

LIRS: An Efficient Low Inter-reference Recency Set Replacement Policy to Improve Buffer Cache Performance Sensitivity/Overhead Analysis. By Fajin Wang Bosah M Marcel Heimlich. LIRS: An Efficient Low Inter-reference Recency Set Replacement Policy to Improve Buffer Cache Performance

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Computer Architecture Lecture 3

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ARC: A SELF-TUNING, LOW OVERHEAD REPLACEMENT CACHE

ARC: A SELF-TUNING, LOW OVERHEAD REPLACEMENT CACHE. Nimrod Megiddo Dharmendra S. Modha IBM Almaden Research Center. Introduction (I). Caching is widely used in storage systems databases web servers processors file systems disk drives RAID controllers operating systems.

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Buffer Management Notes

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