PPT-Hierarchical Load Balancing for Charm++ Applications on Large Supercomputers

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. 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. Tensor Contractions. David . Ozog. *, Jeff R. Hammond. †. , James . Dinan. †. , . Pavan. . Balaji. †. , Sameer . Shende. *, Allen . Malony. * . *University of Oregon . †. Argonne National Laboratory. Keqiang He. , Eric . Rozner. , . Kanak. . Agarwal. , Wes . Felter. , John Carter, . Aditya. . Akella. 1. Background. Datacenter . n. etworks support a wide variety of traffic. Elephants: throughput sensitive. 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. by Mahedi Hasan. 1. Table of Contents. Introducing Cluster Concept. About Cluster Computing. Concept of whole computers and it’s benefits. Architecture and Clustering Methods. Different clusters catagorizations. Aditi Ghag. 2. Naga Katta. 1,2. , . Mukesh. Hira. 2. , . Changhoon. Kim. 3. , Isaac Keslassy. 2,4. , Jennifer Rexford. 1 . 1. Princeton University, . 2. VMware, . 3. Barefoot Networks, . 4. Technion. Nitin Bhat. Master’s Student. Parallel Programming Lab. UIUC. 1. Nitin Bhat, Vipul Harsh. Motivation. Major bottleneck in HPC Applications – Communication . Strategies to address communication bottlenecks. 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. Highlights. Ignacio Reguero . Naredo and Lorena Lobato Pardavila. CHEP 2016. . Octo. ber 10-14 . 2016. 1. CHEP 2016 October 10-14 2016 DNS Load Balancing in the CERN Cloud Highlights. DNS Load Balancing is Cost Effective.