Last edited by Taujar
Saturday, May 16, 2020 | History

3 edition of Computation checkpointing and migration found in the catalog.

Computation checkpointing and migration

Vipin Chaudhary

Computation checkpointing and migration

by Vipin Chaudhary

  • 382 Want to read
  • 7 Currently reading

Published by Nova Science Publishers in Hauppauge NY .
Written in English

    Subjects:
  • High performance computing,
  • Fault-tolerant computing,
  • Heterogeneous computing

  • Edition Notes

    Includes bibliographical references and index.

    StatementVipin Chaudhary.
    SeriesEmbedded & high performance computing series
    Classifications
    LC ClassificationsQA76.88 C53 2009
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL23575823M
    ISBN 109781607418405
    LC Control Number2009025493
    OCLC/WorldCa368015308

    Our framework wraps computation into autonomous actors, self organizing computing entities, which freely roam over the network to find their optimal target execution environments. performance through process checkpointing, migration, and an adaptive middleware for load balancing. Fields as diverse as fluid dynamics, material science. Approaches that have been explored include user-transparent checkpointing and migration libraries (e.g.,,,), programming paradigms that facilitate the task of fault-tolerance or load balancing (e.g.,), or modified algorithms for performing certain specific computations in a fault-tolerant manner (e.g.,,). While the effectiveness of Cited by:

    High-level python abstractions for optimal checkpointing in inversion problems SC17, November , Denver, Colorado, USA Section to RTM, as described in section 2, implemented in the Devito domain specific language. Although section discusses the special case of devito, the interface of the pyRevolve library was designed to allow an easy. 3 July Installation and Upgrade Guide Advanced Upgrade and Migration RFile Size: KB.

    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—An alternative to classical fault-tolerant approaches for large-scale clusters is failure avoidance, by which the occurrence of a fault is predicted and a preventive measure is taken. We develop analytical performance models for two types of preventive measures: preventive checkpointing and preventive. This paper describes our experience with the implementation and applications of the Unix checkpointing library libckp, and indentifies two concepts that have proven to be the key to making checkpointing a powerful tool. First, including all persistent state, i.e., user files, as part of the process state that can be checkpointed and recovered provides a [ ]Cited by:


Share this book
You might also like
Racial discrimination

Racial discrimination

The Cambridge companion to Vygotsky

The Cambridge companion to Vygotsky

High impact resumes and letters

High impact resumes and letters

Analytical Interpretation of Martin Bubers I and Thou

Analytical Interpretation of Martin Bubers I and Thou

behaviour of prices and margins of selected food products in the Federal Republic of Germany

behaviour of prices and margins of selected food products in the Federal Republic of Germany

Journal

Journal

Attrition of coastal archaeological resources in the Maritime Provinces of Canada

Attrition of coastal archaeological resources in the Maritime Provinces of Canada

Computation checkpointing and migration by Vipin Chaudhary Download PDF EPUB FB2

Computation Checkpointing and Migration (Embedded and High Performance Computing) UK ed. Edition by Vipin Chaudhary (Author) › Visit Amazon's Vipin Chaudhary Page. Find all the books, read about the author, and more.

See search results for this author Cited by: 1. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

John Paul N. Walters, Ph.D. Research Team Leader. jwalters at ; Checkpointing in distributed systems. In the distributed computing environment, checkpointing is a technique that helps tolerate failures that otherwise would force long-running application to restart from the beginning.

The most basic way to implement checkpointing, is to stop the application, copy all the required data from the memory to reliable storage (e.g., parallel file system) and then. Computation Checkpointing and Migration: Vipin Chaudhary, Hai Jiang, John Paul N. Walters Nova Science Publishers, Inc., October, ISBN: Computation Checkpointing and Migration.

点击放大图片 出版社: Nova Science Publishers Inc. 作者: Chaudhary, Vipin; Jiang, Hai; Walters, John Paul N. 出版时间: 年01月01 日. 10位国际标准书号: 13位国际标准.

Hai Jiang, Computer Science, recently published his first book, "Computation Checkpointing and Migration," (Nova Publishers, ), based upon his PhD dissertation and co-written with his dissertation advisor, Dr. Vipin Chaudhary, University of Buffalo-State University of. checkpointing and migration in HPC Dissertation submitted for the award of the title "Doctor of Natural Sciences" computation power (in term of Floating Operation Per Second (FLOPS)) and memory.

Typically this supercomputer is composed of many computers called nodes. For space reason, sets of nodes are packed together to form a rack. Data Conversion for Process/Thread Migration and Checkpointing lects the state for migration and checkpointing. The computation state is represented in terms of data.

To support heterogeneity, MigThread is equipped with a novel “plug-and-play” style data conversion scheme called. Process Migration. Since a checkpoint represents a process state, migrating a process from one processor to another simply involves moving the checkpoint, after which computation can resume on the new processor.

The nature of the checkpoint determines whether the new processor must be of the same kind and run the same operating system as the. In the most general sense, Checkpointing refers to the ability to store the state of a computation in a way that allows it be continued at a later time without changing the computation’s behavior.

The preserved state is called the Checkpoint and the continuation is typically referred to as a Restart. The optimal checkpointing algorithm (Griewank and Walther, ) minimizes the computational complexity of the adjoint state method.

Applied to reverse time migration, optimal checkpointing. Checkpointing is the saving of computation state, usually to stable storage, so that it may be reconstructed later in time. Therefore, the major difference between migration and checkpointing is the medium: memory-to-memory vs.

memory-to-file transfer. Checkpointing may apply most migration strategies. James Plank conducted a research. Computation checkpointing and migration By VKS Chaudhary, Vipin and Amherst Topics: Computing and ComputersAuthor: VKS Chaudhary, Vipin and Amherst. State-Carrying Code for Computation Mobility: /ch Computation mobility enables running programs to move around among machines and is the essence of performance gain, fault tolerance, and system throughputCited by: 3.

The purpose of this book is first to study cloud computing concepts, security concern in clouds and data centers, live migration and its importance for cloud computing, the role of firewalls in domains with particular focus on virtual machine (VM) migration and its security concerns.

The book then tackles design, implementation of the frameworks and prepares test-beds for testing and. Abstract. Thread migration/checkpointing is becoming indispensable for load balancing and fault tolerance in high performance computing applications, and its success depends on the migration/checkpointing-safety, which concerns the construction of an accurate computation by: 1.

Coordinated Checkpointing • Blocking Checkpointing – After a process takes a local checkpoint, to prevent orphan messages, it remains blocked until the entire checkpointing activity is complete – Disadvantages • the computation is blocked during the checkpointing • Non-blocking CheckpointingFile Size: 1MB.

Migration is based on a coordinated, heterogeneous checkpointing algorithm. Both reparallelization and migration enable the user to freely use computing time at more than a single point of the grid.

In this Oracle Press guide, an Oracle ACE offers best practices and real-world advice for a mission-critical migration to Oracle Fusion Applications-the next-generation suite of enterprise business applications. Reasons for upgrading and the resources required for moving to this complete suite of modular applications are addressed.

() A generic approach to scheduling and checkpointing workflows. The International Journal of High Performance Computing Applications() Combining Checkpointing and Replication for Reliable Execution of Linear by: Distributed Multi-Threaded CheckPointing Works with Linux Kernel and later Supports sequential and multi-threaded computations across single/multiple hosts Entirely in user space (no kernel modules or root privilege) Transparent (no recompiling, no re-linking) Written at Northeastern U.

and MIT and under active development for 5+.new checkpointing process, it only sends checkpoint re-quests to P 1 and P 2. As a result, only P 1, P 2, and P 3 take new checkpoints. P 4 and P 5 continue their computation without taking new checkpoints.

Basic Ideas Behind Nonblocking Algorithms Most of the existing coordinated checkpointing algorithmsCited by: