PPT-Dynamic Load Balancing in Scientific Simulation

Author : danika-pritchard | Published Date : 2016-07-02

Angen Zheng Static Load Balancing Distribute the load evenly across processing unit Is this good enough It depends No data dependency Load distribution remain

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Dynamic Load Balancing in Scientific Simulation: Transcript


Angen Zheng Static Load Balancing Distribute the load evenly across processing unit Is this good enough It depends No data dependency Load distribution remain unchanged Initial Balanced Load Distribution. as well as the server?. Nikhil Handigol. Stanford University. Joint work with Nick . McKeown. and . Ramesh. . Johari. Datacenter. Wide-area. Enterprise. Can’t choose path :’(. LOAD-BALANCER. Client. Haidong. . Xue. Part One: Knowledge in Textbook. Motivation, Models, Concepts, Algorithms. Part Two: Recent Work. Use the Mobile Agent and Include I/O. Duplex Loading Balancing Strategy. Stability Analysis Based. Sig Freund. Outline. Introduction. Distributed vs. Traditional . scheduling. Process Interaction models. Distributed . Systems. Research Studies. Guess about the Future?. Questions. Introduction. Load Sharing. Abhinav Bhatele, Laxmikant V. Kale. University of Illinois at Urbana-Champaign. Sameer Kumar. IBM T. J. Watson Research Center. Motivation: Contention Experiments. May 29th, 2009. 2. Abhinav Bhatele @ LSPP 2009. Tensor Contractions. David . Ozog. *, Jeff R. Hammond. †. , James . Dinan. †. , . Pavan. . Balaji. †. , Sameer . Shende. *, Allen . Malony. * . *University of Oregon . †. Argonne National Laboratory. P. Balaji, S. Narravula, . K. Vaidyanathan. , H. –W. Jin and D. K. Panda. Network Based Computing Laboratory (NBCL). The Ohio State University. Presentation Outline. Introduction and Motivation. Overview of Dynamic Reconfigurability over InfiniBand. as well as the server?. Nikhil Handigol. Stanford University. Joint work with Nick . McKeown. and . Ramesh. . Johari. Datacenter. Wide-area. Enterprise. Can’t choose path :’(. LOAD-BALANCER. Client. Aran Bergman. (Technion, VMware). Naga Katta, Aditi . Ghag. , . Mukesh. Hira, . Changhoon. Kim, Isaac . Keslassy. , Jennifer Rexford. CLOVE. 1. Data center load balancing today. E. qual-. C. ost . Sig Freund. Outline. Introduction. Distributed vs. Traditional . scheduling. Process Interaction models. Distributed . Systems. Research Studies. Guess about the Future?. Questions. Introduction. Load Sharing. Vlad. . Nae. , . Radu. . Prodan. , Thomas . Fahringer. Institute of Computer Science. University of Innsbruck. 10/25/2010. MMOG Subscriptions (last 10 years). 1. Introduction. 24 million subscribers. March . 8, . 2013. Washington Online Testi. ng. Office of. Superintendent of Public Instruction. Introductions. Office of Superintendent of Public Instruction (OSPI) . Data Recognition Corporation (DRC). A case study on a Reformate Splitter with side draw Dr Sebastien OSTA – TOTAL Jose Maria FERRER – Inprocess Introduction 2 • Steady - state simulation is used traditionally for engineering des By Liang Liu, Lance . Fortnow. , . Jin. Li, . Yating. Wang, Jun Xu. Presented by Grant Everett. 1. Background & Motivation. Minimize the cost of storing data. Evenly balance capacity across distances. Gengbin. . Zheng. , Esteban . Meneses. , . Abhinav. . Bhatele. and . Laxmikant. V. Kale. Parallel Programming Lab. University of Illinois at Urbana Champaign. Motivations. Load balancing is key to scalability on very large supercomputers.

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