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Grid Computing Concepts: Theory and Practice

Grid Computing Concepts: Theory and Practice

Grid Computing Concepts: Theory and Practice. -Mahantesh Halappanavar Grid Computing Systems Engineer, Research Computing, Office of Computing and Communications Services (OCCS) Old Dominion University.

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1.01k views • 81 slides
Scalable Distributed Memory Multiprocessors Todd C. Mowry CS 495 March 28 & April 9, 2002

Scalable Distributed Memory Multiprocessors Todd C. Mowry CS 495 March 28 & April 9, 2002

Scalable Distributed Memory Multiprocessors Todd C. Mowry CS 495 March 28 & April 9, 2002. Outline. Scalability physical, bandwidth, latency and cost level of integration Realizing Programming Models network transactions protocols safety input buffer problem: N-1 fetch deadlock

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684 views • 55 slides
Scalable Distributed Memory Multiprocessors Todd C. Mowry CS 495 October 24 & 29, 2002

Scalable Distributed Memory Multiprocessors Todd C. Mowry CS 495 October 24 & 29, 2002

Scalable Distributed Memory Multiprocessors Todd C. Mowry CS 495 October 24 & 29, 2002. Outline. Scalability physical, bandwidth, latency and cost level of integration Realizing Programming Models network transactions protocols safety input buffer problem: N-1 fetch deadlock

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556 views • 55 slides
Intro to Parallel Architecture Todd C. Mowry CS 740 September 19, 2007

Intro to Parallel Architecture Todd C. Mowry CS 740 September 19, 2007

Intro to Parallel Architecture Todd C. Mowry CS 740 September 19, 2007. What is Parallel Architecture?. A parallel computer is a collection of processing elements that cooperate to solve large problems fast Some broad issues: Resource Allocation : how large a collection?

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525 views • 52 slides
Scalable Distributed Memory Machines

Scalable Distributed Memory Machines

Scalable Distributed Memory Machines. Goal: Parallel machines that can be scaled to hundreds or thousands of processors. Design Choices: Custom-designed or commodity nodes? Network scalability. Capability of node-to-network interface ( critical ). Supporting programming models?

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504 views • 39 slides
Scalable Distributed Memory Machines

Scalable Distributed Memory Machines

Scalable Distributed Memory Machines. Goal: Parallel machines that can be scaled to hundreds or thousands of processors. Design Choices: Custom-designed or commodity nodes? Network scalability. Capability of node-to-network interface ( critical ). Supporting programming models?

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508 views • 39 slides
Fundamental Design Issues

Fundamental Design Issues

Fundamental Design Issues. Recap: Toward Architectural Convergence. Evolution and role of software have blurred boundary Send/recv supported on SAS machines via buffers Can construct global address space on MP (GA -> P | LA) Page-based (or finer-grained) shared virtual memory

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430 views • 34 slides
Fundamental Design Issues

Fundamental Design Issues

Fundamental Design Issues. CS 258, Spring 99 David E. Culler Computer Science Division U.C. Berkeley. Recap: Toward Architectural Convergence. Evolution and role of software have blurred boundary Send/recv supported on SAS machines via buffers

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443 views • 34 slides
Scalable Multiprocessors(II)

Scalable Multiprocessors(II)

Scalable Multiprocessors(II). Realizing Programming Models. What is required to implement programming models on large distributed-memory machines? network transactions protocols safety input buffer problem fetch deadlock. CAD. Database. Scientific modeling. Parallel applications.

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500 views • 33 slides
Scalable Distributed Memory Machines

Scalable Distributed Memory Machines

Scalable Distributed Memory Machines. Goal: Parallel machines that can be scaled to hundreds or thousands of processors. Design Choices: Custom-designed or commodity nodes? Network scalability. Capability of node-to-network interface ( critical ). Supporting programming models?

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411 views • 32 slides
Scalability

Scalability

Scalability. CS 258, Spring 99 David E. Culler Computer Science Division U.C. Berkeley. Recap: Gigaplane Bus Timing. Enterprise Processor and Memory System. 2 procs per board, external L2 caches, 2 mem banks with x-bar Data lines buffered through UDB to drive internal 1.3 GB/s UPA bus

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366 views • 31 slides
Evolution and Convergence of Parallel Architectures Todd C. Mowry CS 495 January 17, 2002

Evolution and Convergence of Parallel Architectures Todd C. Mowry CS 495 January 17, 2002

Evolution and Convergence of Parallel Architectures Todd C. Mowry CS 495 January 17, 2002. History. Historically, parallel architectures tied to programming models Divergent architectures, with no predictable pattern of growth. Application Software. System Software. Systolic Arrays.

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425 views • 30 slides
Parallel Architectures History

Parallel Architectures History

Application Software. System Software. Systolic Arrays. SIMD. Architecture. Message Passing. Dataflow. Shared Memory. Parallel Architectures History. Historically, parallel architectures tied to programming models Divergent architectures, with no predictable pattern of growth.

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268 views • 25 slides

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