'Shared memory multiprocessors' presentation slideshows

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

963 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

795 views • 77 slides

Synchronization

814 views • 67 slides

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

563 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:

584 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.

457 views • 26 slides

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.

508 views • 19 slides

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]; }

212 views • 10 slides