The Resource Job Scheduling Strategies for Parallel Processing : IPPS '95 Workshop Santa Barbara, CA, USA, April 25, 1995 Proceedings, edited by Dror G. Feitelson, Larry Rudolph, (electronic resource)

Job Scheduling Strategies for Parallel Processing : IPPS '95 Workshop Santa Barbara, CA, USA, April 25, 1995 Proceedings, edited by Dror G. Feitelson, Larry Rudolph, (electronic resource)

Label
Job Scheduling Strategies for Parallel Processing : IPPS '95 Workshop Santa Barbara, CA, USA, April 25, 1995 Proceedings
Title
Job Scheduling Strategies for Parallel Processing
Title remainder
IPPS '95 Workshop Santa Barbara, CA, USA, April 25, 1995 Proceedings
Statement of responsibility
edited by Dror G. Feitelson, Larry Rudolph
Creator
Contributor
Editor
Provider
Subject
Language
eng
Summary
This volume contains the papers selected after a very careful refereeing process for presentation during the Workshop on Job Scheduling Stategies for Parallel Processing, held in Santa Barbara, California, as a prelude to the IPPS '95 conference in April 1995. The 19 full papers presented demonstrate that parallel job scheduling takes on a crucial role as multi-user parallel supercomputers become more widespread. All aspects of job scheduling for parallel systems are covered, from the perspectives of academic research, industrial design of parallel systems, as well as user needs. Of particular interest, also for nonexpert readers, is the introductory paper "Parallel Job Scheduling: Issues and Approaches" by the volume editors
Member of
http://library.link/vocab/creatorName
Feitelson, Dror G
Image bit depth
0
LC call number
QA76.76.O63
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Rudolph, Larry.
  • SpringerLink
Series statement
Lecture Notes in Computer Science,
Series volume
949
http://library.link/vocab/subjectName
  • Computer science
  • Operating systems (Computers)
  • Computer software
  • Computer Science
  • Operating Systems
  • Programming Techniques
  • Processor Architectures
  • Algorithm Analysis and Problem Complexity
Label
Job Scheduling Strategies for Parallel Processing : IPPS '95 Workshop Santa Barbara, CA, USA, April 25, 1995 Proceedings, edited by Dror G. Feitelson, Larry Rudolph, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Parallel job scheduling: Issues and approaches -- Scheduling on the Tera MTA -- A scalable multi-discipline, multiple-processor scheduling framework for IRIX -- Scheduling to reduce memory coherence overhead on coarse-grain multiprocessors -- Time Space Sharing Scheduling and architectural support -- Demand-based coscheduling of parallel jobs on multiprogrammed multiprocessors -- Multiprocessor scheduling for high-variability service time distributions -- The interaction between memory allocation and adaptive partitioning in message-passing multicomputers -- Analysis of non-work-conserving processor partitioning policies -- Loop-Level Process Control: An effective processor allocation policy for multiprogrammed shared-memory multiprocessors -- A microeconomic scheduler for parallel computers -- On the benefits and limitations of dynamic partitioning in parallel computer systems -- Intelligent fuzzy control to augment scheduling capabilities of network queuing systems -- Parallel processing on dynamic resources with CARMI -- Job scheduling under the Portable Batch System -- The ANL/IBM SP scheduling system -- Requirements of the Cornell Theory Center for resource management and process scheduling -- Job management requirements for nas parallel systems and clusters -- Job characteristics of a production parallel scientific workload on the NASA Ames iPSC/860
Dimensions
unknown
Extent
VIII, 368 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783540494591
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/3-540-60153-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-540-49459-1
Label
Job Scheduling Strategies for Parallel Processing : IPPS '95 Workshop Santa Barbara, CA, USA, April 25, 1995 Proceedings, edited by Dror G. Feitelson, Larry Rudolph, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Parallel job scheduling: Issues and approaches -- Scheduling on the Tera MTA -- A scalable multi-discipline, multiple-processor scheduling framework for IRIX -- Scheduling to reduce memory coherence overhead on coarse-grain multiprocessors -- Time Space Sharing Scheduling and architectural support -- Demand-based coscheduling of parallel jobs on multiprogrammed multiprocessors -- Multiprocessor scheduling for high-variability service time distributions -- The interaction between memory allocation and adaptive partitioning in message-passing multicomputers -- Analysis of non-work-conserving processor partitioning policies -- Loop-Level Process Control: An effective processor allocation policy for multiprogrammed shared-memory multiprocessors -- A microeconomic scheduler for parallel computers -- On the benefits and limitations of dynamic partitioning in parallel computer systems -- Intelligent fuzzy control to augment scheduling capabilities of network queuing systems -- Parallel processing on dynamic resources with CARMI -- Job scheduling under the Portable Batch System -- The ANL/IBM SP scheduling system -- Requirements of the Cornell Theory Center for resource management and process scheduling -- Job management requirements for nas parallel systems and clusters -- Job characteristics of a production parallel scientific workload on the NASA Ames iPSC/860
Dimensions
unknown
Extent
VIII, 368 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783540494591
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/3-540-60153-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-540-49459-1

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