Annual Review Of Scalable Computing, Vol 3


Book Description

The third volume in the Series on Scalable Computing, this book contains five new articles describing significant developments in the field. Included are such current topics as clusters, parallel tools, load balancing, mobile systems, and architecture independence.




Annual Review Of Scalable Computing, Vol 1


Book Description

This book provides a forum for researchers in scalable computing to publish extended-length articles on significant new developments. An article may present comprehensive results from a major project, review recent work in a sub-domain, or expound new ideas in a detailed, tutorial fashion, at a length which most journals and conference proceedings cannot accommodate.The five articles in this book give an excellent illustration of the different types of material requiring such extensive treatment, and should serve well to encourage future authors with similar ideas to consider publishing in the Series on Scalable Computing.




Annual Review Of Scalable Computing, Vol 2


Book Description

Continuing the Series on Scalable Computing launched in 1999, this volume presents five articles reviewing significant current developments in the field. The topics include the collaborative activities support system, parallel languages, Internet Java, the multithreaded dataflow machine, and task allocation algorithms.




Annual Review of Scalable Computing


Book Description

The third volume in the Series on Scalable Computing, this book contains five new articles describing significant developments in the field. Included are such current topics as clusters, parallel tools, load balancing, mobile systems, and architecture independence. Contents: Anatomy of a Resource Management System for HPC Clusters; On-Line OCM-Based Tool Support for Parallel Applications; Task Scheduling on NOWs Using Lottery-Based Work Stealing; Transaction Management in a Mobile Data Access System; Architecture Inclusive Parallel Programming. Readership: Graduate students, researchers and academics in supercomputing and computer engineering.




Annual Review Of Scalable Computing, Vol 5


Book Description

This book contains four review articles in the area of scalable computing. Two of the articles discuss methods and tools for the parallel solution of irregular problems, which have been satisfactorily worked out in heterogeneous systems. One surveys the technology and applications of multimedia server clusters, which are playing an increasing role in the current networked environment. An additional article discusses SilkRoad, which adds distributed shared memory capabilities to the Cilk parallel programming system. Once again, the book represents a new set of steps forward in parallel systems.




Annual Review Of Scalable Computing, Vol 4


Book Description

A collection of seven long articles, this book comprehensively discusses significant projects in scalable computing in various research organizations around the world. It represents the quantitative and qualitative growth of work in the area.




Annual Review Of Scalable Computing


Book Description

This volume presents original articles, reviewing various aspects of scalable computing. Parallel computation with optically interconnected systems makes its first appearance, and further work on distributed Java is also reported. Optimizing data grids and group communication are studied in two analytical chapters. The comprehensive treatment of these topics adds further to the current literature.




Annual Review of Scalable Computing


Book Description

This book provides a forum for researchers in scalable computing to publish extended-length articles on significant new developments. An article may present comprehensive results from a major project, review recent work in a sub-domain, or expound new ideas in a detailed, tutorial fashion, at a length which most journals and conference proceedings cannot accommodate.The five articles in this book give an excellent illustration of the different types of material requiring such extensive treatment, and should serve well to encourage future authors with similar ideas to consider publishing in the Series on Scalable Computing.




Job Scheduling Strategies for Parallel Processing


Book Description

Thisvolumecontainsthepaperspresentedatthe8thWorkshoponJobSched- ingStrategiesforParallelProcessing,whichwasheldinconjunctionwith HPDC11andGGF5inEdinburgh,UK,onJuly24,2002. Thepapershave beenthroughacompletereviewprocess,withthefullversionbeingreadand evaluatedby?vetosevenmembersoftheprogramcommittee. Wewouldliketo takethisopportunitytothanktheprogramcommittee,AndreaArpaci-Dusseau, WalfredoCirne,AllenDowney,WolfgangGentzsch,AllanGottlieb,MoeJette, RichardLagerstrom,JensMache,CathyMcCann,ReaganMoore,BillNitzberg, MarkSquillante,andJohnTowns,foranexcellentjob. Thanksarealsodueto theauthorsfortheirsubmissions,presentations,and?nalrevisionsforthisv- ume. Finally,wewouldliketothanktheMITLaboratoryforComputerScience andtheSchoolofComputerScienceandEngineeringattheHebrewUniversity fortheuseoftheirfacilitiesinthepreparationoftheseproceedings. Thisyearsawanemphasisontwomainthemes. The?rstwastheclassical MPPschedulingarea.




Job Scheduling Strategies for Parallel Processing


Book Description

This volume contains the papers presented at the 10th Anniversary Workshop on Job Scheduling Strategies for Parallel Processing. The workshop was held in New York City, on June 13, 2004, at Columbia University, in conjunction with the SIGMETRICS 2004 conference. Although it is a workshop, the papers were conference-reviewed, with the full versions being read and evaluated by at least five and usually seven members of the Program Committee. We refer to it as a workshop because of the very fast turnaround time, the intimate nature of the actual presentations, and the ability of the authors to revise their papers after getting feedback from workshop attendees. On the other hand, it was actually a conference in that the papers were accepted solely on their merits as decided upon by the Program Committee. We would like to thank the Program Committee members, Su-Hui Chiang, Walfredo Cirne, Allen Downey, Eitan Frachtenberg, Wolfgang Gentzsch, Allan Gottlieb, Moe Jette, Richard Lagerstrom, Virginia Lo, Reagan Moore, Bill Nitzberg, Mark Squillante, and John Towns, for an excellent job. Thanks are also due to the authors for their submissions, presentations, and final revisions for this volume. Finally, we would like to thank the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), The Hebrew University, and Columbia University for the use of their facilities in the preparation of the workshop and these proceedings.