Task Scheduling for Multi-core and Parallel Architectures - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Task Scheduling for Multi-core and Parallel Architectures write by Quan Chen. This book was released on 2017-11-23. Task Scheduling for Multi-core and Parallel Architectures available in PDF, EPUB and Kindle. This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures. Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems. Further, the book provides an overview of the latest advances in task-scheduling policies in parallel architectures, and will help readers understand and overcome current and emerging issues in this field.
Scheduling for Parallel Processing
Scheduling for Parallel Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Scheduling for Parallel Processing write by Maciej Drozdowski. This book was released on 2010-03-14. Scheduling for Parallel Processing available in PDF, EPUB and Kindle. 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.
Job Scheduling Strategies for Parallel Processing
Job Scheduling Strategies for Parallel Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Job Scheduling Strategies for Parallel Processing write by Eitan Frachtenberg. This book was released on 2009-10-13. Job Scheduling Strategies for Parallel Processing available in PDF, EPUB and Kindle. 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.
Parallel Programming
Parallel Programming - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Programming write by Thomas Rauber. This book was released on 2013-06-13. Parallel Programming available in PDF, EPUB and Kindle. Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added. The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The material presented has been used for courses in parallel programming at different universities for many years.
A Study of Possible Optimizations for the Task Scheduler 'QUARK' on the Shared Memory Architecture
A Study of Possible Optimizations for the Task Scheduler 'QUARK' on the Shared Memory Architecture - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Study of Possible Optimizations for the Task Scheduler 'QUARK' on the Shared Memory Architecture write by Vijay Gopal Joshi. This book was released on 2013. A Study of Possible Optimizations for the Task Scheduler 'QUARK' on the Shared Memory Architecture available in PDF, EPUB and Kindle. Multicore processors are replacing most of the single core processors nowadays. Current trends show that there will be increasing numbers of cores on a single chip in the coming future. However, programming multicore processors remains bug prone and less productive. Thus, making use of a runtime to schedule tasks on multicore processor hides most of the complexities of parallel programming to improve productivity. QUARK is one of the runtimes available for the multicore processors. This work looks at identifying and solving performance bottlenecks for QUARK on the shared memory architecture. The problem of finding bottlenecks is divided into two parts, low level details and high level details. Low level details deal with issues like length of the critical section and locking mechanisms. High level details involve use of a suitable scheduling algorithm and better load balancing. We discuss the possible solutions of the bottlenecks and its impact on the overall performance.
