'Chunk size' diaporamas de présentation

Cloud Computing and Data Centers: Overview

1.24k views • 68 slides

Pitch Tracking + Prosody

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Modeling and Acceleration of File-IO Dominated Parallel Workloads

Presented at Analogic Corporation July 11 th , 2005. Modeling and Acceleration of File-IO Dominated Parallel Workloads. Yijian Wang David Kaeli Department of Electrical and Computer Engineering Northeastern University yiwang@ece.neu.edu. Important File-base I/O Workloads.

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CS 267: Applications of Parallel Computers Load Balancing

CS 267: Applications of Parallel Computers Load Balancing. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr09. Outline. Motivation for Load Balancing Recall graph partitioning as load balancing technique Overview of load balancing problems, as determined by Task costs Task dependencies

679 views • 47 slides

Dynamic Load Balancing

Dynamic Load Balancing. Rashid Kaleem and M Amber Hassaan. Scheduling for parallel processors. Story so far Machine model: PRAM Program representation control-flow graph basic blocks are DAGs nodes are tasks (arithmetic or memory ops) weight on node = execution time of task

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OpenMP - Introduction

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Smashing Heap by Free Simulation

Smashing Heap by Free Simulation. Sandip Chaudhari sandipchaudhari@gmail.com. Acknowledgements Thanks to everyone in my Security Team for their support and encouragement, especially to Jonathan Leonard, Jeremy Jethro and Nick Seidenman. Abstract.

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OpenMP Lecture #4 Performance Tuning

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The Google File System

523 views • 31 slides

OpenMP

OpenMP. E. Bruce Pitman October, 2002. Outline . What is OpenMP Multi-threading How to use OpenMP Limitations OpenMP + MPI References. What is OpenMP?. A portable standard for shared memory multi-processing A library of compiler directives Fine-grained (loop-level)

416 views • 30 slides

Differential Serialization for Optimized SOAP Performance

Differential Serialization for Optimized SOAP Performance. Michael J. Lewis Grid Computing Research Laboratory Department of Computer Science Binghamton University State University of New York. Motivation. SOAP is an XML-based protocol for Web Services that (usually) runs over HTTP

485 views • 28 slides

Ditto - A System for Opportunistic Caching in Multi-hop Mesh Networks

Ditto - A System for Opportunistic Caching in Multi-hop Mesh Networks. Contents. Introduction to WMN Throughput issues in WMN Related Work Challenges and Opportunities Ditto Design Chunk Based Transfers Ditto Proxy Sniffer Evaluation Limitations. Wireless Mesh Networks (WMNs).

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A Dynamic Scheduling Framework for Emerging Heterogeneous Systems Vignesh Ravi and Gagan Agrawal

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Cloud Computing Storage Systems

Cloud Computing Storage Systems. Eva Kalyvianaki ek264@cam.ac.uk. Contents. The Google File System SOSP 2003 Sanjay Ghemawat, Howard Gobioff , and Shun- Tak Leung https://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf

776 views • 23 slides

Algorithms for Independent Task Placement and Their Tuning in Demand-Driven Ray Tracing

Algorithms for Independent Task Placement and Their Tuning in Demand-Driven Ray Tracing. Algorithms for Independent Task Placement and Their Tuning in the Context of Demand-Driven Parallel Ray Tracing. Overview. Demand-driven process farm

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Improving Parallelism and Locality with Asynchronous Algorithms

Lixia Liu, Zhiyuan Li Purdue University, USA PPOPP 2010, January 2009. Improving Parallelism and Locality with Asynchronous Algorithms. Background. Multicore architecture Multiple cores per chip Modest on-chip caches Memory bandwidth issue Increasing gap between CPU speed and

292 views • 20 slides

Google File System

Google File System. Sanjay Ghemawat , Howard Gobioff , and Shun- Tak Leung Google∗. Overview. NFS Introduction-Design Overview Architecture System Interactions Master Operations Fault tolerance Conclusion. NFS. Is build RPC’s Low performance Security Issues. Introduction.

663 views • 18 slides

Parallel Cartographic Modeling

Parallel Cartographic Modeling. Kiumars Soltani 6th July 2012 . Outline. Rethinking Euclidean distance and direction calculations. The timing method Run the code on Trestles Profiling. Euclidean Direction and Distance. Sequential version was faster than the parallel version. Remember?

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Principles of High Performance Computing (ICS 632)

Principles of High Performance Computing (ICS 632). Shared-Memory Programming with OpenMP Threads. OpenMP Scheduling. chunk size = 6 Iterations = 18. Thread 1 Thread 2 Thread 3. OpenMP Scheduling. chunk size = 6 Iterations= 18. Thread 1 Thread 2 Thread 3. STATIC. time.

204 views • 10 slides