'Shared memory multiprocessors' diaporamas de présentation

CS 267 Partitioned Global Address Space Programming with Unified Parallel C (UPC)

CS 267 Partitioned Global Address Space Programming with Unified Parallel C (UPC). Kathy Yelick http://upc.lbl.gov http://upc.gwu.edu. Process 0 Send(1) Recv(1). Process 1 Send(0) Recv(0). MPI Synchronization Semantics (Lec 7 Finish). Send a large message from process 0 to process 1

964 views • 77 slides

CS 267 Partitioned Global Address Space Programming with Unified Parallel C (UPC)

CS 267 Partitioned Global Address Space Programming with Unified Parallel C (UPC). Kathy Yelick http://upc.lbl.gov http://upc.gwu.edu. Process 0 Send(1) Recv(1). Process 1 Send(0) Recv(0). MPI Synchronization Semantics (Lec 7 Finish). Send a large message from process 0 to process 1

797 views • 77 slides

Synchronization

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Advanced Computer Architecture 5MD00 / 5Z033 Multi-Processing 1

Advanced Computer Architecture 5MD00 / 5Z033 Multi-Processing 1. Henk Corporaal www.ics.ele.tue.nl/~heco/courses/aca h.corporaal@tue.nl TUEindhoven 2010. Topics. Flynn's taxonomy Why Parallel Processors Communication models Challenge of parallel processing Coherence problem

565 views • 55 slides

Shared Memory Multiprocessors

Shared Memory Multiprocessors. Symmetric Multiprocessors (SMPs): Symmetric access to all of main memory from any processor. Currently Dominate the high-end server market: Building blocks for larger systems; arriving to desktop. Attractive as high throughput servers and for parallel programs:

610 views • 45 slides

CS510 Concurrent Systems

CS510 Concurrent Systems. Spin Lock Performance. Introduction. Shared memory multiprocessors Various different architectures All have hardware support for mutual exclusion Various flavors of atomic read-modify-write instruction Can be used directly or to build higher level abstractions

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CS 6410 28sep2010 Multi-Processors Vainstein K.

CS 6410 28sep2010 Multi-Processors Vainstein K. Multi-Processor: Definition, Kinds. Defined: shared-memory machine, N CPUs, each of which can access remote memory directly via HW. Flynn's classification [1972]: MIMD (multiple instruction streams, multiple data streams)

376 views • 27 slides

PARALLEL AND DISTRIBUTED COMPUTING OVERVIEW Fall 2003

PARALLEL AND DISTRIBUTED COMPUTING OVERVIEW Fall 2003. TOPICS: Parallel computing requires an understanding of parallel algorithms, parallel languages, and parallel architecture, all of which are covered in this class for the following topics. Fundamental concepts in parallel computation.

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Parallel and Multiprocessor Architectures

Parallel and Multiprocessor Architectures. Chapter 9.4. By Eric Neto. Parallel & Multiprocessor Architecture. In making processors faster, we run into certain limitations. Physical Economic Solution: When necessary, use more processors, working in sync.

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Recap

Recap. Computational Power Improvement. Multiprocessor. Uniprocessor. C.P.I. 1 2. No. of Processors. Summing m Numbers. Example : summing m numbers On a sequential computer we have, sum = a[0]; for (i=1;i<m;i++) { sum = sum + a[i]; }

214 views • 10 slides