'Instruction level' diaporamas de présentation

Program Optimization CENG331: Introduction to Computer Systems 11 th Lecture

866 views • 68 slides

Thread-Level Speculation: Towards Ubiquitous Parallelism Greg Steffan School of Computer Science

686 views • 57 slides

Lecture 7: Vector Processing

Lecture 7: Vector Processing. Prepared by: Professor David A. Patterson Edited and presented by : Prof. Jan Rabaey Computer Science 252, Spring 2000. Computers in the News. At ISSCC (San Francisco) 1 GHz Alpha Processor (Compaq) 1.5 V 0.18 micron CMOS, 7-layer Al, 65 W

718 views • 53 slides

CE-321: Computer Architecture

Dr Mohamed Menacer College of Computer Science and Engineering Taibah University eazmm@hotmail.com www.mmenacer.info. Chapter 10: Instruction Level Parallelism and Superscalar Processors. CE-321: Computer Architecture. What is Superscalar?.

665 views • 51 slides

Stuff to know!

538 views • 44 slides

474 views • 38 slides

William Stallings Computer Organization and Architecture 9 th Edition

William Stallings Computer Organization and Architecture 9 th Edition. Chapter 16. Instruction-Level Parallelism and Superscalar Processors. Superscalar. Overview. Superscalar Organization Compared to Ordinary Scalar Organization. Table 16.1 Reported Speedups of Superscalar-Like Machines.

938 views • 33 slides

CS 240A Applied Parallel Computing

CS 240A Applied Parallel Computing. John R. Gilbert gilbert@cs.ucsb.edu http://www.cs.ucsb.edu/~cs240a Thanks to Kathy Yelick and Jim Demmel at UCB for some of their slides. Why are we here?. Computational science

437 views • 30 slides

Trace-Level Speculative Multithreaded Architecture

367 views • 25 slides

Optimizing Compilers CISC 673 Spring 2009 Control Flow

Optimizing Compilers CISC 673 Spring 2009 Control Flow. John Cavazos University of Delaware. Control-Flow Analysis. Motivating example: identifying loops majority of runtime focus optimization on loop bodies! remove redundant code, replace expensive operations ) speed up program

370 views • 23 slides

Power and Frequency Analysis for Data and Control Independence in Embedded Processors

Power and Frequency Analysis for Data and Control Independence in Embedded Processors. Farzad Samie Amirali Baniasadi Sharif University of Technology University of Victoria. This Work. Goal

287 views • 17 slides

FFTC: Fastest Fourier Transform on the IBM Cell Broadband Engine

FFTC: Fastest Fourier Transform on the IBM Cell Broadband Engine. David A. Bader, Virat Agarwal. Cell System Features. Heterogeneous multi-core system architecture Power Processor Element for control tasks Synergistic Processor Elements for data-intensive processing.

358 views • 17 slides

Exploiting Parallelism

Exploiting Parallelism. We can exploit parallelism in two ways: At the instruction level Single Instruction Multiple Data (SIMD) Make use of extensions to the ISA At the core level Rewrite the code to parallelize operations across many cores

315 views • 17 slides

PinPlay : A Framework for Deterministic Replay and Reproducible Analysis of Parallel Programs

PinPlay : A Framework for Deterministic Replay and Reproducible Analysis of Parallel Programs. 2010.10.22 2010 Fall OSLab . Seminar. Rest of the Talk. Non-determinism PinPlay Overview Usage Examples Results Summary. Non-Determinism. Program execution is not repeatable across runs

407 views • 16 slides

Power Reduction Techniques For Microprocessor Systems

Power Reduction Techniques For Microprocessor Systems. Presented by William Lane. Material and graphics presented here are from: Power Reduction Techniques For Microprocessor Systems Vasanth Venkatachalam and Michael Franz ACM Computing Surveys, Vol. 37, No3, September 2005, pp. 195 - 237.

736 views • 12 slides

Hardware Testing on the Level of Tasks

185 views • 10 slides

A Combinatorial Architecture for Instruction-Level Parallelism

A Combinatorial Architecture for Instruction-Level Parallelism. Prepared by: HongJun Yu. Regulated Elements By Universal Scheme (REBUS). EXECUTABLE PROGRAM. Partitioned Instruction Streams. Processing Elements with Replicated Scratchpad Registers. Combinatorial Interconnection Structure.

234 views • 10 slides

Reconfigurable Architectures

Reconfigurable Architectures. Granularity of Reconfigurable Systems. Granularity: The abstraction level used to configure the device. May use a Boolean-level, instruction-level, function-level, process-level representation. Granularity of Reconfigurable Systems. Granularity:

214 views • 9 slides

RE3030 Spelling Assignment Spring 2012

174 views • 7 slides

Computer Architecture

Computer Architecture. review for exam 1. Introduction. languages, levels, and virtual machines mechanical, vacuum tubes, transistors, ICs, VLSI Von Neumann machine bus instruction format (opcode + operands) CPU parts (CU, ALU, regs). Instructions.

227 views • 7 slides