'Vector instruction' diaporamas de présentation

Lecture on High Performance Processor Architecture ( CS05162 )

Lecture on High Performance Processor Architecture ( CS05162 ). Introduction on Data-Level Parallel Architecture. An Hong han@ustc.edu.cn Fall 2007 University of Science and Technology of China Department of Computer Science and Technology. Outline. Basic Concepts

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Data-Level Parallelism in Vector and GPU Architectures

Data-Level Parallelism in Vector and GPU Architectures. Muhamed Mudawar Computer Engineering Department King Fahd University of Petroleum and Minerals. Introduction. SIMD architectures can exploit significant data-level parallelism for: matrix-oriented scientific computing

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Multiprocessors

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Vector Computers

Vector Computers. Muhamed Mudawar Computer Engineering Department King Fahd University of Petroleum and Minerals. SCALAR (1 operation). VECTOR (N operations). v2. v1. r2. r1. +. +. r3. v3. vector length. addv v3, v1, v2. add r3, r1, r2. Vector Processing.

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689 views • 52 slides

VECTOR PROCESSING

VECTOR PROCESSING. ??????? ??????? & ???????? ???????????. Contents. Introduction Vector Processor Definition Components & Properties of Vector Processors Advantages/Disadvantages of Vector Processors Vector Machines & Architectures Virtual Processors Model Vectorization Inhibitors

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EE (CE) 6304 Computer Architecture Lecture #18 (11/29/17)

EE (CE) 6304 Computer Architecture Lecture #18 (11/29/17). Yiorgos Makris Professor Department of Electrical Engineering University of Texas at Dallas. Course Web-site: http://www.utdallas.edu/~gxm112130/EE6304FA17. Supercomputers. Definition of a supercomputer:

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CS252 Graduate Computer Architecture Lecture 12 Vector Processing

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VEGAS: A Soft Vector Processor

VEGAS: A Soft Vector Processor. Aaron Severance Some slides from Prof. Guy Lemieux and Chris Chou. Outline. Motivation Vector Processing Overview VEGAS Architecture Example programs Advanced Features. Motivation. DE1/DE2 Audio/Video processing options NIOS: Easy but slow

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Data Parallel FPGA Workloads: Software Versus Hardware

Data Parallel FPGA Workloads: Software Versus Hardware. Peter Yiannacouras J. Gregory Steffan Jonathan Rose FPL 2009. FPGA Systems and Soft Processors. Simplify FPGA design: Customize soft processor architecture. Target: Data level parallelism ? vector processors. Digital System.

477 views • 32 slides

Data Parallel FPGA Workloads: Software Versus Hardware

Data Parallel FPGA Workloads: Software Versus Hardware. Peter Yiannacouras J. Gregory Steffan Jonathan Rose FPL 2009. FPGA Systems and Soft Processors. Simplify FPGA design: Customize soft processor architecture. Target: Data level parallelism ? vector processors. Digital System.

326 views • 32 slides

EECS 252 Graduate Computer Architecture Lec. 12: Vector Computers

EECS 252 Graduate Computer Architecture Lec. 12: Vector Computers. Krste Asanovic ( krste@mit.edu ) Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Definition of a supercomputer: Fastest machine in world at given task

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Asanovic/DevadasSpring 2002 6.823

Asanovic/DevadasSpring 2002 6.823. Vector Computers. Krste Asanovic Laboratory for Computer Science Massachusetts Institute of Technology. Asanovic/DevadasSpring 2002 6.823. Supercomputers. Definition of a supercomputer: Fastest machine in world at given task Any machine costing $30M+

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EECS 252 Graduate Computer Architecture Lec. 12: Vector Computers

EECS 252 Graduate Computer Architecture Lec. 12: Vector Computers. Krste Asanovic ( krste@mit.edu ) Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Definition of a supercomputer: Fastest machine in world at given task

326 views • 31 slides

RISC Machines

RISC Machines. Because of their load-store ISAs, RISC architectures require a large number of CPU registers. These register provide fast access to data during sequential program execution. They can also be employed to reduce the overhead typically caused by passing parameters to subprograms.

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The Architecture of Earth Simulator

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Customizable Soft Vector Processors

Customizable Soft Vector Processors. Peter Yiannacouras, PhD Candidate Connections 2009. Soft Processors in FPGA Systems. Make FPGA technology more easily accessible. Optimize soft processor to application properties. Weeks. Months. Software + Compiler. HDL + CAD.

218 views • 8 slides