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. Parallel Databases. The Google File System. Parallel File Systems. Relational Database Technology. Row-stores are good for transactional workloads with many random reads and . updates. , and strong concurrency control requirements. Explore the applicability of Microsoft technologies to real world scientific domains with a focus on data intensive applications. Expect data deluge will demand . multicore. enabled data analysis/mining. In collaboration with Jeremy Logan, Postdoctoral Research Associate, ORNL. . Improving the Performance of MPI Parallel I/O. Outline. Issues in providing high-performance parallel I/O in general.. Issues with MPI-IO in particular. . Integrating P-RAMS and other Procurement Applications in Operations Portal & Client Connection. Marcelo Donolo. Procurement Specialist, OPCPR. Fiduciary Forum, March 2010. Objectives. Procurement applications in Ops Portal. Software. Steve Teixeira. Product Unit Manager. Microsoft Corporation. Session Code. : DEV401. My Assumptions About You. You have some knowledge of parallel development issues. You’d like to focus on the new stuff: Visual Studio 2010 and .NET 4.0. Cluster File Systems, Inc. Abstract: Today's network-oriented computing environments require high-performance, network-aware file systems that can satisfy both the data storage requirements of indiv 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 . 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. 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. Integrating Procurement Systems & Creating the P-RAMS Dashboard. Marcelo Donolo. Procurement Specialist, OPCPR. Fiduciary Forum, March 2010. Why integrate?. All procurement applications that needed to be developed are now (or soon will be) online. 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. File Management I/O. Peter Collins, Khadouj Fikry. MPI IO. File Management I/O. Overview. Problem Statement: as the size of data is excessively increasing, the need of I/O parallelization is becoming a necessity to avoid scalability bottleneck on almost every application. . Workshops . on Dynamic . Data Driven Applications Systems(DDDAS) In conjunction . with: 22nd . International Conference on . High. . Performance . Computing (. HiPC. ), Bengaluru. , India . 12/16/2015.