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Author: Oliver Sinnen
Publisher: John Wiley & Sons
ISBN: 0471735760
Category : Computers
Languages : en
Pages : 326
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Book Description
A new model for task scheduling that dramatically improves the efficiency of parallel systems Task scheduling for parallel systems can become a quagmire of heuristics, models, and methods that have been developed over the past decades. The author of this innovative text cuts through the confusion and complexity by presenting a consistent and comprehensive theoretical framework along with realistic parallel system models. These new models, based on an investigation of the concepts and principles underlying task scheduling, take into account heterogeneity, contention for communication resources, and the involvement of the processor in communications. For readers who may be new to task scheduling, the first chapters are essential. They serve as an excellent introduction to programming parallel systems, and they place task scheduling within the context of the program parallelization process. The author then reviews the basics of graph theory, discussing the major graph models used to represent parallel programs. Next, the author introduces his task scheduling framework. He carefully explains the theoretical background of this framework and provides several examples to enable readers to fully understand how it greatly simplifies and, at the same time, enhances the ability to schedule. The second half of the text examines both basic and advanced scheduling techniques, offering readers a thorough understanding of the principles underlying scheduling algorithms. The final two chapters address communication contention in scheduling and processor involvement in communications. Each chapter features exercises that help readers put their new skills into practice. An extensive bibliography leads to additional information for further research. Finally, the use of figures and examples helps readers better visualize and understand complex concepts and processes. Researchers and students in distributed and parallel computer systems will find that this text dramatically improves their ability to schedule tasks accurately and efficiently.
Author: Oliver Sinnen
Publisher: John Wiley & Sons
ISBN: 0471735760
Category : Computers
Languages : en
Pages : 326
Get Book Here
Book Description
A new model for task scheduling that dramatically improves the efficiency of parallel systems Task scheduling for parallel systems can become a quagmire of heuristics, models, and methods that have been developed over the past decades. The author of this innovative text cuts through the confusion and complexity by presenting a consistent and comprehensive theoretical framework along with realistic parallel system models. These new models, based on an investigation of the concepts and principles underlying task scheduling, take into account heterogeneity, contention for communication resources, and the involvement of the processor in communications. For readers who may be new to task scheduling, the first chapters are essential. They serve as an excellent introduction to programming parallel systems, and they place task scheduling within the context of the program parallelization process. The author then reviews the basics of graph theory, discussing the major graph models used to represent parallel programs. Next, the author introduces his task scheduling framework. He carefully explains the theoretical background of this framework and provides several examples to enable readers to fully understand how it greatly simplifies and, at the same time, enhances the ability to schedule. The second half of the text examines both basic and advanced scheduling techniques, offering readers a thorough understanding of the principles underlying scheduling algorithms. The final two chapters address communication contention in scheduling and processor involvement in communications. Each chapter features exercises that help readers put their new skills into practice. An extensive bibliography leads to additional information for further research. Finally, the use of figures and examples helps readers better visualize and understand complex concepts and processes. Researchers and students in distributed and parallel computer systems will find that this text dramatically improves their ability to schedule tasks accurately and efficiently.
Author: Maciej Drozdowski
Publisher: Springer Science & Business Media
ISBN: 184882310X
Category : Computers
Languages : en
Pages : 395
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Book Description
Overview and Goals This book is dedicated to scheduling for parallel processing. Presenting a research ?eld as broad as this one poses considerable dif?culties. Scheduling for parallel computing is an interdisciplinary subject joining many ?elds of science and te- nology. Thus, to understand the scheduling problems and the methods of solving them it is necessary to know the limitations in related areas. Another dif?culty is that the subject of scheduling parallel computations is immense. Even simple search in bibliographical databases reveals thousands of publications on this topic. The - versity in understanding scheduling problems is so great that it seems impossible to juxtapose them in one scheduling taxonomy. Therefore, most of the papers on scheduling for parallel processing refer to one scheduling problem resulting from one way of perceiving the reality. Only a few publications attempt to arrange this ?eld of knowledge systematically. In this book we will follow two guidelines. One guideline is a distinction - tween scheduling models which comprise a set of scheduling problems solved by dedicated algorithms. Thus, the aim of this book is to present scheduling models for parallel processing, problems de?ned on the grounds of certain scheduling models, and algorithms solving the scheduling problems. Most of the scheduling problems are combinatorial in nature. Therefore, the second guideline is the methodology of computational complexity theory. Inthisbookwepresentfourexamplesofschedulingmodels. Wewillgodeepinto the models, problems, and algorithms so that after acquiring some understanding of them we will attempt to draw conclusions on their mutual relationships.
Author: Sushil K Prasad
Publisher: Morgan Kaufmann
ISBN: 0128039388
Category : Computers
Languages : en
Pages : 359
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Book Description
Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. Contributed and developed by the leading minds in parallel computing research and instruction Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline Succinctly addresses a range of parallel and distributed computing topics Pedagogically designed to ensure understanding by experienced engineers and newcomers Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts
Author: Jaya Prakash Varma Champati
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Scheduling tasks/jobs on parallel processors/machines is a classical scheduling problem that is well studied in the literature due to its applicability in parallel computing systems and operations research. Even though it is a well studied problem, new scheduling models that consider the emerging aspects in the continuously evolving parallel computing systems are required to analyze and improve their performance. In this thesis we initially study scheduling on parallel processors under three new semi-online paradigms with motivations from computational offloading systems (e.g. mobile cloud computing, mobile edge computing, hybrid cloud, etc.), where only partial information about the tasks is available. First, we study makespan minimization on a set of local processors and a set of remote processors under the semi-online setting where the task processing times on the local processors are known a priori, but are unknown on the remote processors. Second, considering that each offloaded task incurs a cost, we study makespan-plus-weighted-offloading-cost minimization when the task processing times are not known a priori, but their offloading costs are known. Third, we consider the scenario where offloaded task incurs non-negligible communication overhead and study makespan minimization under the semi-online setting where task communication overheads are known a priori, but their processing times are not known. For each of the above problems we propose efficient algorithms, analyze their performance in the worst case, by deriving competitive ratios, and study their average performance using simulation. Finally, we identity a new job model in scheduling on parallel processors, where a job has placement constraints and multi-processor requirement. Under the job placement constraints we solve a problem of assigning identical jobs to machines. We establish novel results for this problem under generalized objective functions. We propose a new algorithm and analyze its runtime complexity. Further, using benchmark input instances we show that the proposed algorithm has orders of magnitude lower runtime than the existing algorithms.
Author: Eitan Frachtenberg
Publisher: Springer Science & Business Media
ISBN: 3642046320
Category : Computers
Languages : en
Pages : 309
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Book Description
This book constitutes the revised papers of the 14th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2009, which was held in Rome, Italy, in May 2009. The 15 revised papers presented were carefully reviewed and selected from 25 submissions. The papers cover all current issues of job scheduling strategies for parallel processing; this year the conference had an increasing trend towards heterogeneous and multi-core architectures.
Author: International Business Machines Corporation. Research Division
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Dror G. Feitelson
Publisher: Springer Science & Business Media
ISBN: 9783540618645
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
This book constitutes the strictly refereed post-workshop proceedings of the International Workshop on Job Scheduling Strategies for Parallel Processing, held in conjunction with IPPS '96 symposium in Honolulu, Hawaii, in April 1996. The book presents 15 thoroughly revised full papers accepted for inclusion on the basis of the reports of at least five program committee members. The volume is a highly competent contribution to advancing the state-of-the-art in the area of job scheduling for parallel supercomputers. Among the topics addressed are job scheduler, workload evolution, gang scheduling, multiprocessor scheduling, parallel processor allocation, and distributed memory environments.
Author: Dror Feitelson
Publisher: Springer Science & Business Media
ISBN: 3540204059
Category : Computers
Languages : en
Pages : 276
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Book Description
This book constitutes the thoroughly refereed postproceedings of the 9th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2003, held in Seattle, Washington in June 2003 in conjunction with HPDC-12 and FFG-8. The 13 revised full papers presented were carefully refereed and selected during two rounds of reviewing and revision. The papers present state-of-the-art research results in the area with particular emphasis on conventional parallel systems (including infrastructure scheduling algorithms, I/O issues, and QoS), on scheduling issues in the context of grid computing, and on methodological aspects of performance evaluation in parallel job scheduling.
Author: Dror Feitelson
Publisher: Springer Science & Business Media
ISBN: 354031024X
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
This book constitutes the thoroughly refereed postproceedings of the 11th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2005, held in Cambridge, MA, USA in June 2005 in conjunction with the 19th ACM International Conference on Supercomputing (ICS 2005). The 13 revised full research papers presented went through two rounds of reviewing and improvement. The papers in this volume cover a wide range of parallel architectures, from distributed grids, through clusters, to massively-parallel supercomputers. They are organized in topical sections on modeling and workloads, implementations and deployments, grid scheduling, as well as evaluation and metrics.
Author: Dror Feitelson
Publisher: Springer
ISBN: 3540397272
Category : Computers
Languages : en
Pages : 276
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Book Description
This book constitutes the thoroughly refereed postproceedings of the 9th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2003, held in Seattle, Washington in June 2003 in conjunction with HPDC-12 and FFG-8. The 13 revised full papers presented were carefully refereed and selected during two rounds of reviewing and revision. The papers present state-of-the-art research results in the area with particular emphasis on conventional parallel systems (including infrastructure scheduling algorithms, I/O issues, and QoS), on scheduling issues in the context of grid computing, and on methodological aspects of performance evaluation in parallel job scheduling.
