'Data partitioning' diaporamas de présentation

OpenVMS Clusters: Theory of Operation

OpenVMS Clusters: Theory of Operation Keith Parris Systems/Software Engineer Multivendor Systems Engineering HP Speaker Contact Info: Keith Parris E-mail: parris@encompasserve.org or keithparris@yahoo.com or Keith.Parris@hp.com Web: http://encompasserve.org/~parris/

1.68k views • 111 slides

Parallel distributed computing techniques

1.22k views • 91 slides

Distributed Databases

Distributed Databases. Distributed Databases. Parallel databases Architecture Query evaluation Query optimization Distributed databases Architectures Data storage Catalog management Query processing Transactions. Introduction.

1.15k views • 88 slides

Principles of Parallel Algorithm Design

Principles of Parallel Algorithm Design. Introduction to Parallel Algorithms Decomposition Techniques Characteristics of Tasks and Interactions Mapping Techniques for Load Balancing Methods for Minimizing Interaction Overheads Parallel Algorithm Design Models.

870 views • 62 slides

Resilent Cloud Applications

Mark Simms (@ mabsimms ) Principal Program Manager Windows Azure Customer Advisory Team. Resilent Cloud Applications. Session Objectives. Designing resilient large-scale services requires careful design and architecture choices

672 views • 60 slides

Data Partitioning in VLDB

699 views • 57 slides

Cache-and-Query for Wide Area Sensor Databases

Cache-and-Query for Wide Area Sensor Databases. Amol Deshpande, UC Berkeley Suman Nath, CMU Phillip Gibbons, Intel Research Pittsburgh Srinivasan Seshan, CMU Presented by David Yates, April 9, 2004. Outline. Overview of IrisNet Example application: Parking Space Finder

551 views • 42 slides

Chapter 5 Parallel Join

Chapter 5 Parallel Join. 5.1 Join Operations 5.2 Serial Join Algorithms 5.3 Parallel Join Algorithms 5.4 Cost Models 5.5 Parallel Join Optimization 5.6 Summary 5.7 Bibliographical Notes 5.8 Exercises. 5.1. Join Operations.

496 views • 39 slides

Cache-and-Query for Wide Area Sensor Databases

Cache-and-Query for Wide Area Sensor Databases. Amol Deshpande, UC Berkeley Suman Nath, CMU Phillip Gibbons, Intel Research Pittsburgh Srinivasan Seshan, CMU. Outline. Overview of IrisNet Example application: Parking Space Finder Query processing in IrisNet Data partitioning

481 views • 39 slides

Kyoungwoo Lee 1 , Aviral Shrivastava 2 , Nikil Dutt 1 , and Nalini Venkatasubramanian 1

Data Partitioning Techniques for Partially Protected Caches to Reduce Soft Error Induced Failures. Kyoungwoo Lee 1 , Aviral Shrivastava 2 , Nikil Dutt 1 , and Nalini Venkatasubramanian 1. 2 Department of Computer Science and Engineering Arizona State University.

470 views • 35 slides

Administrative

CS4961 Parallel Programming Lecture 5: More OpenMP, Introduction to Data Parallel Algorithms Mary Hall September 4, 2012. Administrative. Mailing list set up, everyone should be on it

428 views • 32 slides

Chai: Collaborative Heterogeneous Applications for Integrated-architectures

436 views • 31 slides

New York 2000 Jacques Cherrier

369 views • 28 slides

Benchmarking Parallel Code

Benchmarking Parallel Code. Benchmarking. What are the performance characteristics of a parallel code? What should be measured?. Experimental Studies. Write a program implementing the algorithm Run the program with inputs of varying size and composition

370 views • 27 slides

Precept 6

Precept 6. Hashing & Partitioning. Peng Sun. Server Load Balancing. Balance load across servers Normal techniques: Round-robin? . Limitations of Round Robin. Packets of a single connection spread over several servers. Multipath Load Balancing. Balance load over multiple paths

383 views • 27 slides

CS411 Design of Database Management Systems

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15-829A/18-849B/95-811A/19-729A Internet-Scale Sensor Systems: Design and Policy

15-829A/18-849B/95-811A/19-729A Internet-Scale Sensor Systems: Design and Policy. Lecture 7, Part 2 IrisNet Query Processing Phil Gibbons February 4, 2003. Outline. IrisNet query processing overview QEG details Data partitioning & caching details Extensions Related work & conclusions.

364 views • 27 slides

SQL Server 2005 features for VLDBs

433 views • 23 slides

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. Liang Wang, Xin Geng, James Bezdek , Christopher Leckie, and Kotagiri Ramamohanarao Presented by Wen-Chung Liao 2010/12/08. Outlines. VAT Motivation Objectives Methodology SpecVAT A-SpecVAT P-SpecVAT

330 views • 18 slides

V LDB

V LDB. 2. Boris Gelman Vice President Architecture Information Services VISA bgelman@visa.com. 2. V LDB : The Concept. 2. V LDB = Very Very Large Database: New concept or change to VLDB concept ? Data Structure: Petabyte tables with 100s billions of rows Complex table structures

168 views • 4 slides