Specifying Big Data Benchmarks

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Release : 2013-12-18
Genre : Computers
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Book Rating : 742/5 ( reviews)

Specifying Big Data Benchmarks - 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 Specifying Big Data Benchmarks write by Tilmann Rabl. This book was released on 2013-12-18. Specifying Big Data Benchmarks available in PDF, EPUB and Kindle. This book constitutes the thoroughly refereed revised selected papers of the First Workshop on Big Data Benchmarks, WBDB 2012, held in San Jose, CA, USA, in May 2012 and the Second Workshop on Big Data Benchmarks, WBDB 2012, held in Pune, India, in December 2012. The 14 revised papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on benchmarking, foundations and tools; domain specific benchmarking; benchmarking hardware and end-to-end big data benchmarks.

Big Data and High Performance Computing

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Release : 2015-10-20
Genre : Computers
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Book Rating : 834/5 ( reviews)

Big Data and High Performance 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 Big Data and High Performance Computing write by L. Grandinetti. This book was released on 2015-10-20. Big Data and High Performance Computing available in PDF, EPUB and Kindle. Big Data has been much in the news in recent years, and the advantages conferred by the collection and analysis of large datasets in fields such as marketing, medicine and finance have led to claims that almost any real world problem could be solved if sufficient data were available. This is of course a very simplistic view, and the usefulness of collecting, processing and storing large datasets must always be seen in terms of the communication, processing and storage capabilities of the computing platforms available. This book presents papers from the International Research Workshop, Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2014. The papers selected for publication here discuss fundamental aspects of the definition of Big Data, as well as considerations from practice where complex datasets are collected, processed and stored. The concepts, problems, methodologies and solutions presented are of much more general applicability than may be suggested by the particular application areas considered. As a result the book will be of interest to all those whose work involves the processing of very large data sets, exascale computing and the emerging fields of data science

Big Data Benchmarks, Performance Optimization, and Emerging Hardware

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Release : 2016-01-28
Genre : Computers
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Book Rating : 061/5 ( reviews)

Big Data Benchmarks, Performance Optimization, and Emerging Hardware - 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 Big Data Benchmarks, Performance Optimization, and Emerging Hardware write by Jianfeng Zhan. This book was released on 2016-01-28. Big Data Benchmarks, Performance Optimization, and Emerging Hardware available in PDF, EPUB and Kindle. This book constitutes the thoroughly revised selected papers of the 6th workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 2015, held in Kohala Coast, HI, USA, in August/September 2015 as satellite event of VLDB 2015, the 41st International Conference on Very Large Data Bases. The 8 papers presented were carefully reviewed and selected from 10 submissions. The workshop focuses on architecture and system support for big data systems, aiming at bringing researchers and practitioners from data management, architecture, and systems research communities together to discuss the research issues at the intersection of these areas. This book also invites three papers from several industrial partners, including two papers describing tools used in system benchmarking and monitoring and one paper discussing principles and methodologies in existing big data benchmarks.

Big Data Benchmarking

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Release : 2015-06-13
Genre : Computers
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Book Rating : 332/5 ( reviews)

Big Data Benchmarking - 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 Big Data Benchmarking write by Tilmann Rabl. This book was released on 2015-06-13. Big Data Benchmarking available in PDF, EPUB and Kindle. This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Big Data Benchmarking, WBDB 2014, held in Potsdam, Germany, in August 2014. The 13 papers presented in this book were carefully reviewed and selected from numerous submissions and cover topics such as benchmarks specifications and proposals, Hadoop and MapReduce - in the different context such as virtualization and cloud - as well as in-memory, data generation, and graphs.

High-Performance Big Data Computing

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Release : 2022-08-02
Genre : Computers
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Book Rating : 857/5 ( reviews)

High-Performance Big Data 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 High-Performance Big Data Computing write by Dhabaleswar K. Panda. This book was released on 2022-08-02. High-Performance Big Data Computing available in PDF, EPUB and Kindle. An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.