PPT-High Performance Integration of Data Parallel File Systems

Zhenhua Guo PhD Thesis Proposal Outline Introduction and Motivation Literature Survey Research Issues and Our Approaches Contributions 2 Traditional HPC Architecture vs the Architecture of Data Parallel Systems. Hardware Parallelism. Computing: execute instructions that operate on data.. Flynn’s . taxonomy (Michael Flynn, 1967) classifies computer architectures based on the number of instructions that can be executed and how they operate on data.. Tom Jackson, Greg Menke, James Dailey, Carlos Ugarte, Lester Jackson, Sara Haugh, Jerry Cote. Goddard Space Flight Center. Greenbelt, MD 20771. Presentation Agenda. Introduction. What is DSILCAS?. DSILCAS Benefits. Zhenhua . Guo. PhD Thesis Proposal. Outline. Introduction and Motivation. Literature Survey. Research Issues and Our Approaches. Contributions. 2. Traditional HPC Architecture vs. the Architecture of Data Parallel Systems. “MapReduce and parallel DBMSs: friends or foes?” Stonebraker, Daniel Abadi, David J Dewitt et al.. MAP REDUCE AND PARALLEL DBMS ARE COMPLEMENTARY. In 2010, . MapReduce. (MR) has been hailed as a . Priya Bhat, Yonggang Liu, Jing Qin. Content. 1. . Ceph. Architecture. 2. . Ceph. Components. 3. . Performance Evaluation. 4. . Ceph. Demo. 5. Conclusion. Ceph Architecture. What is Ceph?. Ceph is a distributed file system that provides excellent performance, scalability and reliability.. Andrew Lumsdaine. Indiana University. lums@osl.iu.edu. My Goal in Life. Performance with elegance. Introduction. Overview of our high-performance, industrial strength, graph library. Comprehensive features. 1. Copyright © 2010 The HDF Group. All Rights Reserved. Quincey Koziol. The HDF Group. koziol@hdfgroup.org. 2. Goal is to be invisible: get same performance with HDF5 as with MPI I/O. Project with. Dimension Reduction. Student: . Seung-Hee. . Bae. Advisor: . Dr. Geoffrey C. Fox. School of Informatics and Computing. Pervasive Technology Institute. Indiana University. Thesis Defense, Jan. 17, 2012. CS. . 111. On-Line MS Program. Operating . Systems . Peter Reiher. . Outline. File systems: . Why do we need them?. Why are they challenging?. Basic elements of file system design. Designing file systems for disks. Workshops . on Dynamic . Data Driven Applications Systems(DDDAS) In conjunction . with: 22nd . International Conference on . High. . Performance . Computing (. HiPC. ), Bengaluru. , India . 12/16/2015. Data in the Cloud. AFOSR FA9550-13-1-0225: Cloud-Based Perception and Control of Sensor Nets and Robot Swarms . 01/27/2016. 1. Geoffrey Fox, David . Crandall,. Supun. . Kamburugamuve. , . Jangwon. Lee, . Topic: Linked Game Systems. Large games are networks of systems. . Systems are often smaller games.. Dynamics emerge from network topology. . Exercise:. Create some small games.. Link them together in parallel and series. . By:. Dasari Charithambika (210302). Divya Gupta(210353). Course Instructors:. Dr. Preeti Malakar. Dr. Soumya Dutta.. M. Larsen, S. Labasan, P. Navrátil,. J.S. Meredith, and H. Childs (2015). Various hardware architectures are used in supercomputers, including GPUs, many-core coprocessors, large multi-core CPUs, low-power architectures, hybrid designs, and experimental designs.. Osman . Sarood. How faster can we run?. Suppose we have this serial problem with 12 tasks. How fast can we run given 3 processors?. Running in parallel. Execution time reduces from 12 . secs. to 4 .