PPT-Scalable Fast Multipole Methods on Distributed Heterogeneous Architecture
Author : lindy-dunigan | Published Date : 2018-10-07
Qi Hu Nail A Gumerov Ramani Duraiswami Institute for Advanced Computer Studies Department of Computer Science University of Maryland College Park MD Previous work
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Scalable Fast Multipole Methods on Distributed Heterogeneous Architecture: Transcript
Qi Hu Nail A Gumerov Ramani Duraiswami Institute for Advanced Computer Studies Department of Computer Science University of Maryland College Park MD Previous work FMM on distributed systems. Class Activities: Multipole. Dipole moment - off center. x. r. 1. r. 2. d. +q. -q. MD6.1. The dipole moment, . Dipole moment - off center. x. y. r. 1. r. 2. d. +q. -q. MD6.1. Which of the following is correct . Ken . Birman. , Cornell University. August 18/19, 2010. 1. Berkeley Workshop on Scalability. Today’s cloud systems exhibit visible inconsistencies!. Today, very few cloud applications need consistency in a strong, interactive, real-time sense of the term.. Chapter 2, Section 2.4. Josh Epps. josh.epps@gatech.edu. Chapter 2 Lecture Schedule. Parts of this Presentation. Part 1 - Basic knowledge from the Distributed Architecture Models Section from the text book. Processors. Presented by . Remzi. Can . Aksoy. *Some slides . are. . borrowed from a ‘Papers We Love’ . Presentation. EECS 582 – F16. 1. Outline. The . Scalable Commutativity Rule: . Whenever interface operations commute, they can be implemented in a way that scales. Jungwook Choi and Rob . A. . Rutenbar. Belief . Propagation . FPGA for . Computer Vision. Variety . of pixel-labeling apps in CV are mapped to probabilistic graphical model, effectively solved by . BP. Luis . Herranz. Arribas. Supervisor: Dr. José M. Martínez Sánchez. Video Processing and Understanding Lab. Universidad . Aut. ónoma. de Madrid. Outline. Introduction. Integrated. . summarization. He Zhang. 1. , He Huang. 2. , . Rui. Li. 1. , . Jie. Chen. 1. , Li-Shi Luo. 2. Jefferson Lab. Old Dominion University. FEIS-2, 05/15/2015. Outline. He Zhang. ---. 3. ---. Introduction of FMM. He Zhang. Separation of Matter Notes. Matter Flowchart. A. Separating Heterogeneous Mixtures. . Based on differences in the size or density of the pure substances making up the . mixture. Decanting. Filtering. Larry Peterson. In collaboration with . Arizona. , Akamai. ,. . Internet2. , NSF. , North Carolina, . Open Networking Lab, Princeton. (and several pilot sites). S3. DropBox. GenBank. iPlant. Data Management Challenge. Topics covered. Distributed systems characteristics and issues. Models of component interaction . Client–server computing. Architectural patterns for distributed systems. Software as a service. Distributed systems. Iterative Local Searches. Martin . Burtscher. 1. and Hassan Rabeti. 2. 1. Department of Computer Science, Texas State University-San Marcos. 2. Department of Mathematics, Texas State University-San Marcos. COS 418: Distributed Systems. Lecture . 14. Wyatt Lloyd. Consistency Hierarchy. Linearizability. Sequential Consistency. Causal+ Consistency. Eventual Consistency. e.g., RAFT. e.g., Bayou. e.g., Dynamo. Solving the linear system. Evaluating the summation. Evaluating the coefficients. Possible to obtain 2 sets of linear systems in . λ. and . γ. .. Cost of solving : O(n. 3. ). Need for fast algorithm. Multipole. . Methods. Qi Hu, Nail A. Gumerov, Ramani Duraiswami. Institute for Advanced Computer Studies . Department of Computer Science. University of Maryland, College Park, MD. Previous work. FMM .
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