20th Acm Sigplan Symposium On Principles And Practice Of Parallel Programming Ppopp 2015

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Euro-Par 2016: Parallel Processing

Author : Pierre-François Dutot,Denis Trystram
Publisher : Springer
Page : 699 pages
File Size : 45,8 Mb
Release : 2016-08-10
Category : Computers
ISBN : 9783319436593

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Euro-Par 2016: Parallel Processing by Pierre-François Dutot,Denis Trystram Pdf

This book constitutes the refereed proceedings of the 22nd International Conference on Parallel and Distributed Computing, Euro-Par 2016, held in Grenoble, France, in August 2016. The 47 revised full papers presented together with 2 invited papers and one industrial paper were carefully reviewed and selected from 176 submissions. The papers are organized in 12 topical sections: Support Tools and Environments; Performance and Power Modeling, Prediction and Evaluation; Scheduling and Load Balancing; High Performance Architectures and Compilers; Parallel and Distributed Data Management and Analytics; Cluster and Cloud Computing; Distributed Systems and Algorithms; Parallel and Distributed Programming, Interfaces, Languages; Multicore and Manycore Parallelism; Theory and Algorithms for Parallel Computation and Networking; Parallel Numerical Methods and Applications; Accelerator Computing.

Languages and Compilers for Parallel Computing

Author : Chen Ding,John Criswell,Peng Wu
Publisher : Springer
Page : 348 pages
File Size : 44,5 Mb
Release : 2017-01-20
Category : Computers
ISBN : 9783319527093

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Languages and Compilers for Parallel Computing by Chen Ding,John Criswell,Peng Wu Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 29th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, NY, USA, in September 2016. The 20 revised full papers presented together with 4 short papers were carefully reviewed. The papers are organized in topical sections on large scale parallelism, resilience and persistence, compiler analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis.

Advances in GPU Research and Practice

Author : Hamid Sarbazi Azad
Publisher : Morgan Kaufmann
Page : 774 pages
File Size : 55,8 Mb
Release : 2016-09-15
Category : Computers
ISBN : 9780128037881

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Advances in GPU Research and Practice by Hamid Sarbazi Azad Pdf

Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors. Discusses how to maximize power and obtain peak reliability when designing, building, and using GPUs Covers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmers Explains how to use mathematical and analytical techniques to predict different performance metrics in GPUs Illustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptography Provides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications

High Performance Computing

Author : Julian M. Kunkel,Thomas Ludwig
Publisher : Springer
Page : 530 pages
File Size : 45,9 Mb
Release : 2015-06-19
Category : Computers
ISBN : 9783319201191

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High Performance Computing by Julian M. Kunkel,Thomas Ludwig Pdf

This book constitutes the refereed proceedings of the 30th International Conference, ISC High Performance 2015, [formerly known as the International Supercomputing Conference] held in Frankfurt, Germany, in July 2015. The 27 revised full papers presented together with 10 short papers were carefully reviewed and selected from 67 submissions. The papers cover the following topics: cost-efficient data centers, scalable applications, advances in algorithms, scientific libraries, programming models, architectures, performance models and analysis, automatic performance optimization, parallel I/O and energy efficiency.

Quantitative Evaluation of Systems

Author : Marco Gribaudo,David N. Jansen,Anne Remke
Publisher : Springer Nature
Page : 301 pages
File Size : 47,8 Mb
Release : 2020-11-03
Category : Computers
ISBN : 9783030598549

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Quantitative Evaluation of Systems by Marco Gribaudo,David N. Jansen,Anne Remke Pdf

This book constitutes the proceedings of the 17th International Conference on Quantitative Evaluation Systems, QEST 2020, held in Vienna, Austria, in August/September 2020. The 12 full papers presented together with 7 short papers were carefully reviewed and selected from 42 submissions. The papers cover topics such as classic measures involving performance and reliability, quantification of properties that are classically qualitative, such as safety, correctness, and security as well as analytic studies, diversity in the model formalisms and methodologies employed, and development of new formalisms and methodologies.

Soft Computing in Data Science

Author : Bee Wah Yap,Azlinah Hj Mohamed,Michael W. Berry
Publisher : Springer
Page : 404 pages
File Size : 55,7 Mb
Release : 2018-12-10
Category : Computers
ISBN : 9789811334412

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Soft Computing in Data Science by Bee Wah Yap,Azlinah Hj Mohamed,Michael W. Berry Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing in Data Science, SCDS 2018, held in Bangkok, Thailand, in August 2018. The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on machine and deep learning, image processing, financial and fuzzy mathematics, optimization algorithms, data and text analytics, data visualization.

Euro-Par 2016: Parallel Processing Workshops

Author : Frédéric Desprez,Pierre-François Dutot,Christos Kaklamanis,Loris Marchal,Korbinian Molitorisz,Laura Ricci,Vittorio Scarano,Miguel A. Vega-Rodríguez,Ana Lucia Varbanescu,Sascha Hunold,Stephen L. Scott,Stefan Lankes,Josef Weidendorfer
Publisher : Springer
Page : 829 pages
File Size : 40,7 Mb
Release : 2017-05-26
Category : Computers
ISBN : 9783319589435

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Euro-Par 2016: Parallel Processing Workshops by Frédéric Desprez,Pierre-François Dutot,Christos Kaklamanis,Loris Marchal,Korbinian Molitorisz,Laura Ricci,Vittorio Scarano,Miguel A. Vega-Rodríguez,Ana Lucia Varbanescu,Sascha Hunold,Stephen L. Scott,Stefan Lankes,Josef Weidendorfer Pdf

This book constitutes the proceedings of the workshops of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2016, held in Grenoble, France in August 2016. The 65 full papers presented were carefully reviewed and selected from 95 submissions. The volume includes the papers from the following workshops: Euro-EDUPAR (Second European Workshop on Parallel and Distributed Computing Education for Undergraduate Students) – HeteroPar 2016 (the 14th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms) – IWMSE (5th International Workshop on Multicore Software Engineering) – LSDVE (Fourth Workshop on Large-Scale Distributed Virtual Environments) - PADABS (Fourth Workshop on Parallel and Distributed Agent-Based Simulations) – PBio (Fourth International Workshop on Parallelism in Bioinformatics) – PELGA (Second Workshop on Performance Engineering for Large-Scale Graph Analytics) – REPPAR (Third International Workshop on Reproducibility in Parallel Computing) – Resilience (9th Workshop in Resilience in High Performance Computing in Clusters, Clouds, and Grids) – ROME (Fourth Workshop on Runtime and Operating Systems for the Many-Core Era) – UCHPC (9th Workshop on UnConventional High-Performance Computing).

Data Analytics

Author : Mohiuddin Ahmed,Al-Sakib Khan Pathan
Publisher : CRC Press
Page : 439 pages
File Size : 46,9 Mb
Release : 2018-09-21
Category : Computers
ISBN : 9780429820908

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Data Analytics by Mohiuddin Ahmed,Al-Sakib Khan Pathan Pdf

Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

Computer Aided Verification

Author : Shuvendu K. Lahiri,Chao Wang
Publisher : Springer Nature
Page : 682 pages
File Size : 49,9 Mb
Release : 2020-07-15
Category : Computers
ISBN : 9783030532888

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Computer Aided Verification by Shuvendu K. Lahiri,Chao Wang Pdf

The open access two-volume set LNCS 12224 and 12225 constitutes the refereed proceedings of the 32st International Conference on Computer Aided Verification, CAV 2020, held in Los Angeles, CA, USA, in July 2020.* The 43 full papers presented together with 18 tool papers and 4 case studies, were carefully reviewed and selected from 240 submissions. The papers were organized in the following topical sections: Part I: AI verification; blockchain and Security; Concurrency; hardware verification and decision procedures; and hybrid and dynamic systems. Part II: model checking; software verification; stochastic systems; and synthesis. *The conference was held virtually due to the COVID-19 pandemic.

High-Performance Big Data Computing

Author : Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar
Publisher : MIT Press
Page : 275 pages
File Size : 45,9 Mb
Release : 2022-08-02
Category : Computers
ISBN : 9780262369428

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High-Performance Big Data Computing by Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar Pdf

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.