'Memory hierarchy' diaporamas de présentation

Parallelism and Locality in Matrix Computations www.cs.berkeley.edu/~demmel/cs267_Spr09 Introduction

Parallelism and Locality in Matrix Computations www.cs.berkeley.edu/~demmel/cs267_Spr09 Introduction. Jim Demmel EECS & Math Departments, UC Berkeley demmel@cs.berkeley.edu. Outline (of all lectures). Why all computers must be parallel processors

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Memory Management

Memory Management. 4.1 Basic memory management 4.2 Swapping 4.3 Virtual memory 4.4 Page replacement algorithms 4.5 Modeling page replacement algorithms 4.6 Design issues for paging systems 4.7 Implementation issues 4.8 Segmentation. Chapter 4. Memory Management .

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Graphics Processing Unit

Graphics Processing Unit. Gert-Jan v.d. Braak Henk Corporaal 5SIA0 , TU/e, 201 8. Background image: Nvidia Tesla P100 with Pascal architecture . Slides by Zhenyu Ye . The GPU-CPU Gap (by NVIDIA ). ref: Tesla GPU Computing Brochure. The GPU-CPU Gap (data).

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CMPT 300 Introduction to Operating Systems

CMPT 300 Introduction to Operating Systems. Cache. Acknowledgement: some slides are taken from CS61C course material at UC Berkeley. Agenda. Memory Hierarchy Direct Mapped Caches Cache Performance Set Associative Caches Multiprocessor Cache Consistency. Storage in a Computer. Processor

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MEMORY MANAGEMENT

MEMORY MANAGEMENT. 1. Keep track of what parts of memory are in use. 2. Allocate memory to processes when needed. 3. Deallocate when processes are done. 4. Swapping, or paging, between main memory and disk, when disk is too small to hold all current processes.

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Large and Fast: Exploiting Memory Hierarchy

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Memory Management

Memory Management. 4.1 Basic memory management 4.2 Swapping 4.3 Virtual memory 4.4 Page replacement algorithms 4.5 Modeling page replacement algorithms 4.6 Design issues for paging systems 4.7 Implementation issues 4.8 Segmentation. Chapter 4. Memory Management .

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Compiler Improvement of Register Usage

Compiler Improvement of Register Usage. Chapter 8, through Section 8.4. Overview. Improving memory hierarchy performance by compiler transformations Scalar Replacement Unroll-and-Jam Saving memory loads & stores Make good use of the processor registers. DO I = 1, N DO J = 1, M

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Bandwidth Avoiding Stencil Computations

Bandwidth Avoiding Stencil Computations . By Kaushik Datta , Sam Williams, Kathy Yelick, and Jim Demmel, and others Be rkeley B enchmarking and Op timization Group UC Berkeley March 13, 2008 http://bebop.cs.berkeley.edu kdatta@cs.berkeley.edu. Outline. Stencil Introduction

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Disk-based Storage Oct. 23, 2008

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Register Allocation (via graph coloring)

Register Allocation (via graph coloring). Lecture Outline. Memory Hierarchy Management Register Allocation Register interference graph Graph coloring heuristics Spilling Cache Management. The Memory Hierarchy. Registers 1 cycle 256-8000 bytes.

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Multihop Over the Air Programming

Multihop Over the Air Programming. Thanos Stathopoulos LECS Lab, UCLA. Introduction. Nature of sensor networks Expected to operate for long periods of time Human intervention impractical or detrimental to sensing process Nevertheless, code needs to be updated Add new functionality

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Memory Hierarchy

Submitted by: Ajay Kumar Parimi Srinivas Paladi . Memory Hierarchy. What is Memory? Memory is a storage device and it is the part of the computer that holds data and instructions for processing. Each memory location is identified by an address

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Presented by: Ahmad Hammad Course: CSE 661 - Fall 2011

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Automatic Measurement of Instruction Cache Capacity in X-Ray

Automatic Measurement of Instruction Cache Capacity in X-Ray. Kamen Yotov kyotov@us.ibm.com IBM T. J. Watson Research Center Joint work with: Tyler Steele, Sandra Jackson, Keshav Pingali, Paul Stodghill Department of Computer Science Cornell University.

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Computer Organization and Design Memory Hierarchy and Caches

Computer Organization and Design Memory Hierarchy and Caches. Montek Singh Dec 4, 2017 Lecture 15. Topics. Memory Flavors Principle of Locality Memory Hierarchy: Caches Associativity Reading: Ch. 5.1- 5.3. What Do We Want in a Memory?. PC. ADDR. INST. DOUT. miniMIPS. MEMORY.

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Introduction to Computer Systems

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SYSC 5704 Elements of Computer Systems

SYSC 5704 Elements of Computer Systems. Optimization to take advantage of hardware. Fall 2011. SYSC 5704: Elements of Computer Systems. 1. Objectives. Simple things to speed up your program. Optimize Watch procedure calls Code motion Strength reduction Common expression removal .

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Advanced Computer Architecture 5MD00 / 5Z033 Overview

Advanced Computer Architecture 5MD00 / 5Z033 Overview. Henk Corporaal www.ics.ele.tue.nl/~heco/courses/aca h.corporaal@tue.nl TUEindhoven 2009. Course goals. Learn advanced computer architecture concepts like: ILP and Multi-issue architectures O-O-O

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