'Single system image' diaporamas de présentation

DISTRIBUTED COMPUTING

DISTRIBUTED COMPUTING. Fall 2005. ROAD MAP: OVERVIEW. Why are distributed systems interesting? Why are they hard?. GOALS OF DISTRIBUTED SYSTEMS. Take advantage of cost/performance difference between microprocessors and shared memory multiprocessors Build systems:

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Distributed Systems

Distributed Systems. Introduction Paul Krzyzanowski pxk@cs.rutgers.edu ds@pk.org. Except as otherwise noted, the content of this presentation is licensed under the Creative Commons Attribution 2.5 License. What can we do now that we could not do before?. Technology advances. Networking.

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Chapter 9. Multiprocessor Virtualization

Chapter 9. Multiprocessor Virtualization. Mobile Embedded System Lab. Ki Seok Choi ( ??? ). Contents. Introduction to Multiprocessor Systems Multiprocessor Architecture Types of multiprocessing Clustered Systems Shared-Memory Systems

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High Performance Computing with Linux clusters

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Providing a Single System Image: The GENESIS Approach

Providing a Single System Image: The GENESIS Approach. Andrzej M. Goscinski {ang@deakin.edu.au} School of Information Technology Deakin University. Clusters Parallel processing on clusters Single System Image How to Achieve SSI? Toward SSI clusters Genesis provides a SSI

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Providing a Single System Image: The GENESIS Approach

Providing a Single System Image: The GENESIS Approach. Andrzej M. Goscinski {ang@deakin.edu.au} School of Information Technology Deakin University. Clusters Parallel processing on clusters Single System Image How to Achieve SSI? Toward SSI clusters Genesis provides a SSI

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CHEP 2000, 10.02.2000

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Scaleout vs. Scaleup Robert Barnes Microsoft

Scaleout vs. Scaleup Robert Barnes Microsoft. CPU. 50 GB Disc. 5 GB RAM. Why 1BTPD?. We had two main obstacles in bringing TP to Microsoft: Lack of products and infrastructure Industry mindshare and/or credibility

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Scaleout vs. Scaleup Robert Barnes Microsoft

Scaleout vs. Scaleup Robert Barnes Microsoft. CPU. 50 GB Disc. 5 GB RAM. Why 1BTPD?. We had two main obstacles in bringing TP to Microsoft: Lack of products and infrastructure Industry mindshare and/or credibility

214 views • 21 slides

Operating System support

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Symmetric and CC-NUMA

Symmetric and CC-NUMA. Scope. Design experiences of SMPs and Coherent Cache Nonuniform Memory Access (CC-NUMA) NUMA Natural extension of SMP systems. Processor & Cache. Processor & Cache. Processor & Cache. Processor & Cache. . . . . . . Interconnect. Bus/Crossbar. Memory. Memory.

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DEISA (deisa)

DEISA (www.deisa.org). D istributed E uropean I nfrastructure for S upercomputing A pplications Initiative conducted by European national HPC centres in partnership with technology provider organizations, user groups in science and technology, R&D grid projects, etc.

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