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DryadOpt: Branch-and-Bound on Distributed Data-Parallel Execution Engines

DryadOpt: Branch-and-Bound on Distributed Data-Parallel Execution Engines. Mihai Budiu, Daniel Delling, Renato Werneck Microsoft Research - Silicon Valley IEEE International Parallel & Distributed Processing Symposium IPDPS 2011. DDPEEs. Your problem. Application. DryadOpt. FlumeJava.

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507 views • 38 slides

Avoiding Communication in Sparse Matrix-Vector Multiply ( SpMV )

Avoiding Communication in Sparse Matrix-Vector Multiply ( SpMV ). Sequential and shared-memory performance is dominated by off-chip communication Distributed-memory performance is dominated by network communication The problem: SpMV has low arithmetic intensity.

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517 views • 32 slides

Exploitation of modern CPU architectures and its impact on the computing model of HEP experiments

Exploitation of modern CPU architectures and its impact on the computing model of HEP experiments. Goals of the Workshop. Review of current industrial technologies Hardware Software Trend for the future Short term Next decade Review of current activities in HEP. Presentations.

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84 views • 7 slides

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'Core parallelism' presentation slideshows

Core parallelism - PowerPoint PPT Presentation

DryadOpt: Branch-and-Bound on Distributed Data-Parallel Execution Engines

Avoiding Communication in Sparse Matrix-Vector Multiply ( SpMV )

Exploitation of modern CPU architectures and its impact on the computing model of HEP experiments