'Shared data' diaporamas de présentation

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Data Management: Best Practices for Groups

Data Management: Best Practices for Groups. Dr. David Hoover, HPC @ NIH hooverdm@hpc.nih.gov 24 April 2019. Outline. Purpose and goals Hassles with shared data Fundamentals of file access permissions Modifying and maintaining file access permissions Organizing and tracking data

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Chapter 7: Process Synchronization

Chapter 7: Process Synchronization. Background The Critical-Section Problem Synchronization Hardware Semaphores Classical Problems of Synchronization Critical Regions Monitors Synchronization in Solaris 2 & Windows 2000. Background.

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?????? ???????? Call/Return Systems

?????? ???????? Call/Return Systems. ??? sun@hit.edu.cn. History. Main program and subroutines Decomposition into processing steps with single-threaded control ??????????????? Functional modules Aggregation of processing steps into modules ??????????? Abstract Data Types

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Organizing Data and Information

Organizing Data and Information. Chapter 5. Topics in Ch. 5. General data management concepts and terms Two major approaches to data management Three database models The common functions performed by database management systems Three popular end-user database management systems

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Process Synchronization

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Consistency and Replication

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The Banner System

The Banner System. An Overview. Banner is the software. SCT is the leading global provider of e-education technology solutions for institutions of all sizes and levels of complexity. Banner is completely integrated to handle all of the administrative functions of higher education.

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Mutual Exclusion, Synchronization and Classical InterProcess Communication (IPC) Problems

Mutual Exclusion, Synchronization and Classical InterProcess Communication (IPC) Problems. B.Ramamurthy. CSE421. Introduction.

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HACC Diversity Planning Forum

HACC Diversity Planning Forum. HDG Consulting Group February - March 2011. This project is supported with funding under the Home and Community Care Program by the Commonwealth Government and the Victorian Government. Welcome. Acknowledgement of Traditional Custodians. Session overview.

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CS 267: Introduction to Parallel Machines and Programming Models Lecture 3

CS 267: Introduction to Parallel Machines and Programming Models Lecture 3. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr15/. Outline. Overview of parallel machines (~hardware) and programming models (~software) Shared memory Shared address space Message passing Data parallel

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CS 267: Introduction to Parallel Machines and Programming Models Lecture 3

CS 267: Introduction to Parallel Machines and Programming Models Lecture 3. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr13/. Outline. Overview of parallel machines (~hardware) and programming models (~software) Shared memory Shared address space Message passing Data parallel

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Distributed Shared Memory

Distributed Shared Memory. Chapter 9. Introduction. Distributed Shared Memory Making the main memory of a cluster of computers look as though it is a single memory with a single address space. Then you can use shared memory programming techniques. 1. Distributed Shared Memory.

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Background

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Demand-Driven Software Race Detection using Hardware Performance Counters

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Data Quality Toolbox for Registrars

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KP3213 CAD/CAM

KP3213 CAD/CAM. Snapshot Lecture 4 3D Transformation Objective of Lecture 5 Understand Product Data Management Lecture 5: Product Data Management Class on 6 August 2007 is shifted to 7 August 2007, DK4, 11am-12pm. 3D Transformation. 3D Transformation. Assignment # 2.

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CAMELOT

CAMELOT. C oordination A nalysis M otivation E xecution Lo gistics T racking. Why CAMELOT?. Most of the System TOC is not Considered During a Source Selection TOC is Driven by Early-on Design & Logistics Decisions

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FlexCache

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