Parallel Computing: On the Road to Exascale

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Release : 2016-04-28
Genre : Computers
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Book Rating : 210/5 ( reviews)

Parallel Computing: On the Road to Exascale - 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 Computing: On the Road to Exascale write by G.R. Joubert. This book was released on 2016-04-28. Parallel Computing: On the Road to Exascale available in PDF, EPUB and Kindle. As predicted by Gordon E. Moore in 1965, the performance of computer processors increased at an exponential rate. Nevertheless, the increases in computing speeds of single processor machines were eventually curtailed by physical constraints. This led to the development of parallel computing, and whilst progress has been made in this field, the complexities of parallel algorithm design, the deficiencies of the available software development tools and the complexity of scheduling tasks over thousands and even millions of processing nodes represent a major challenge to the construction and use of more powerful parallel systems. This book presents the proceedings of the biennial International Conference on Parallel Computing (ParCo2015), held in Edinburgh, Scotland, in September 2015. Topics covered include computer architecture and performance, programming models and methods, as well as applications. The book also includes two invited talks and a number of mini-symposia. Exascale computing holds enormous promise in terms of increasing scientific knowledge acquisition and thus contributing to the future well-being and prosperity of mankind. A number of innovative approaches to the development and use of future high-performance and high-throughput systems are to be found in this book, which will be of interest to all those whose work involves the handling and processing of large amounts of data.

Parallel Computing

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Author :
Release : 2016
Genre : Electronic book
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Book Rating : /5 ( reviews)

Parallel Computing - 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 Computing write by G. R. Joubert. This book was released on 2016. Parallel Computing available in PDF, EPUB and Kindle.

Applications, Tools and Techniques on the Road to Exascale Computing

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Release : 2012
Genre : Computers
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Book Rating : 409/5 ( reviews)

Applications, Tools and Techniques on the Road to Exascale Computing - 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 Applications, Tools and Techniques on the Road to Exascale Computing write by Koen de Bosschere. This book was released on 2012. Applications, Tools and Techniques on the Road to Exascale Computing available in PDF, EPUB and Kindle. Single processing units have now reached a point where further major improvements in their performance are restricted by their physical limitations. This is causing a slowing down in advances at the same time as new scientific challenges are demanding exascale speed. This has meant that parallel processing has become key to High Performance Computing (HPC). This book contains the proceedings of the 14th biennial ParCo conference, ParCo2011, held in Ghent, Belgium. The ParCo conferences have traditionally concentrated on three main themes: Algorithms, Architectures and Applications. Nowadays though, the focus has shifted from traditional multiprocessor topologies to heterogeneous and manycores, incorporating standard CPUs, GPUs (Graphics Processing Units) and FPGAs (Field Programmable Gate Arrays). These platforms are, at a higher abstraction level, integrated in clusters, grids and clouds. The papers presented here reflect this change of focus. New architectures, programming tools and techniques are also explored, and the need for exascale hardware and software was also discussed in the industrial session of the conference.This book will be of interest to all those interested in parallel computing today, and progress towards the exascale computing of tomorrow.

Parallel Computing is Everywhere

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Release : 2018-03-07
Genre : Computers
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Book Rating : 434/5 ( reviews)

Parallel Computing is Everywhere - 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 Computing is Everywhere write by S. Bassini. This book was released on 2018-03-07. Parallel Computing is Everywhere available in PDF, EPUB and Kindle. The most powerful computers work by harnessing the combined computational power of millions of processors, and exploiting the full potential of such large-scale systems is something which becomes more difficult with each succeeding generation of parallel computers. Alternative architectures and computer paradigms are increasingly being investigated in an attempt to address these difficulties. Added to this, the pervasive presence of heterogeneous and parallel devices in consumer products such as mobile phones, tablets, personal computers and servers also demands efficient programming environments and applications aimed at small-scale parallel systems as opposed to large-scale supercomputers. This book presents a selection of papers presented at the conference: Parallel Computing (ParCo2017), held in Bologna, Italy, on 12 to 15 September 2017. The conference included contributions about alternative approaches to achieving High Performance Computing (HPC) to potentially surpass exa- and zetascale performances, as well as papers on the application of quantum computers and FPGA processors. These developments are aimed at making available systems better capable of solving intensive computational scientific/engineering problems such as climate models, security applications and classic NP-problems, some of which cannot currently be managed by even the most powerful supercomputers available. New areas of application, such as robotics, AI and learning systems, data science, the Internet of Things (IoT), and in-car systems and autonomous vehicles were also covered. As always, ParCo2017 attracted a large number of notable contributions covering present and future developments in parallel computing, and the book will be of interest to all those working in the field.

Data Intensive Computing Applications for Big Data

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Release : 2018-01-31
Genre : Computers
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Book Rating : 140/5 ( reviews)

Data Intensive Computing Applications for Big Data - 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 Data Intensive Computing Applications for Big Data write by M. Mittal. This book was released on 2018-01-31. Data Intensive Computing Applications for Big Data available in PDF, EPUB and Kindle. The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.