Openshmem And Related Technologies
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| Author | : Manjunath Gorentla Venkata |
| Publisher | : Springer |
| Total Pages | : 244 |
| Release | : 2016-12-14 |
| Genre | : Computers |
| ISBN | : 3319509950 |
This book constitutes the proceedings of the Third OpenSHMEM Workshop, held in Baltimore, MD, USA, in August 2016. The 14 full papers and 3 short papers presented were carefully reviewed and selected from 25 submissions. The papers discuss a variety of ideas of extending the OpenSHMEM specification and making it efficient for current and next generation systems. This included active messages, non-blocking APIs, fault tolerance capabitlities, exploring implementation of OpenSHMEM using communication layers such as OFI and UCX and implementing OpenSHMEM for heterogeneous architectures.
| Author | : Stephen Poole |
| Publisher | : Springer Nature |
| Total Pages | : 205 |
| Release | : 2022-05-19 |
| Genre | : Computers |
| ISBN | : 3031048881 |
This book constitutes the proceedings of the 8th OpenSHMEM Workshop, held in virtually in August 2021. The 11 full papers and 1 short paper presented in this book were carefully reviewed and selected for inclusion in this volume from 18 submissions. The papers are organized in the following topical sections: Applications and Implementations, Tools and Benchmarks, and Applications and Implementations.
| Author | : Manjunath Gorentla Venkata |
| Publisher | : Springer |
| Total Pages | : 187 |
| Release | : 2018-01-25 |
| Genre | : Computers |
| ISBN | : 3319738143 |
This book constitutes the proceedings of the 4th OpenSHMEM Workshop, held in Annapolis, MD, USA, in August 2017.The 11 full papers presented in this book were carefully reviewed and selected from 14 submissions. The papers discuss a variety of ideas for extending the OpenSHMEM specification and making it efficient for current and next generation systems. This includes new research for communication contexts in OpenSHMEM, different optimizations for OpenSHMEM on shared memory machines, exploring the implementation of OpenSHMEM and its memory model on Intel’s KNL architecture, and implementing new applications and benchmarks with OpenSHMEM.
| Author | : Swaroop Pophale |
| Publisher | : Springer |
| Total Pages | : 225 |
| Release | : 2019-03-18 |
| Genre | : Computers |
| ISBN | : 3030049183 |
This book constitutes the proceedings of the 5th OpenSHMEM Workshop, held in Baltimore, MD, USA, in August 2018. The 14 full papers presented in this book were carefully reviewed and selected for inclusion in this volume. The papers discuss a variety of ideas for extending the OpenSHMEM specification and discuss a variety of concepts, including interesting use of OpenSHMEM in HOOVER – a distributed, flexible, and scalable streaming graph processor and scaling OpenSHMEM to handle massively parallel processor arrays. The papers are organized in the following topical sections: OpenSHMEM library extensions and implementations; OpenSHMEM use and applications; and OpenSHMEM simulators, tools, and benchmarks.
| Author | : Manjunath Gorentla Venkata |
| Publisher | : Springer |
| Total Pages | : 203 |
| Release | : 2015-12-08 |
| Genre | : Computers |
| ISBN | : 3319264281 |
This book constitutes the proceedings of the Second OpenSHMEM Workshop, held in Annapolis, MD, USA, in August 2015. The 12 technical papers and one short position papers presented in this book were carefully reviewed and selected from 17 submissions. The topics of the workshop included extensions to the OpenSHMEM API, implementation of the API for current and emerging architectures, tools to debug and profile OpenSHMEM programs, experience porting applications to the OpenSHMEM programming model, and changes to the OpenSHMEM specification to address the needs of programming exascale systems.
| Author | : Stephen Poole |
| Publisher | : Springer |
| Total Pages | : 200 |
| Release | : 2014-02-20 |
| Genre | : Computers |
| ISBN | : 3319052152 |
This book constitutes the proceedings of the First OpenSHMEM Workshop, held in Annapolis, MD, USA, in March 2014. The 12 technical papers and 2 short position papers presented in this book were carefully reviewed and selected from 16 submissions. They are organized in topical sections named: OpenSHMEM implementations and evaluations; applications; tools; and OpenSHMEM extensions and future directions.
| Author | : Ponnuswamy Sadayappan |
| Publisher | : Springer Nature |
| Total Pages | : 564 |
| Release | : 2020-06-15 |
| Genre | : Computers |
| ISBN | : 3030507432 |
This book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performance 2020, held in Frankfurt/Main, Germany, in June 2020.* The 27 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers cover a broad range of topics such as architectures, networks & infrastructure; artificial intelligence and machine learning; data, storage & visualization; emerging technologies; HPC algorithms; HPC applications; performance modeling & measurement; programming models & systems software. *The conference was held virtually due to the COVID-19 pandemic. Chapters "Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) Streaming-Aggregation Hardware Design and Evaluation", "Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization", "Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology", "Footprint-Aware Power Capping for Hybrid Memory Based Systems", and "Pattern-Aware Staging for Hybrid Memory Systems" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
| Author | : Bagchi, Susmit |
| Publisher | : IGI Global |
| Total Pages | : 469 |
| Release | : 2015-03-31 |
| Genre | : Computers |
| ISBN | : 1466682140 |
Traditional computing concepts are maturing into a new generation of cloud computing systems with wide-spread global applications. However, even as these systems continue to expand, they are accompanied by overall performance degradation and wasted resources. Emerging Research in Cloud Distributed Computing Systems covers the latest innovations in resource management, control and monitoring applications, and security of cloud technology. Compiling and analyzing current trends, technological concepts, and future directions of computing systems, this publication is a timely resource for practicing engineers, technologists, researchers, and advanced students interested in the domain of cloud computing.
| Author | : Dhabaleswar K. Panda |
| Publisher | : MIT Press |
| Total Pages | : 275 |
| Release | : 2022-08-02 |
| Genre | : Computers |
| ISBN | : 0262369427 |
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.
| Author | : Hans-Joachim Bungartz |
| Publisher | : Springer Nature |
| Total Pages | : 624 |
| Release | : 2020-07-30 |
| Genre | : Computers |
| ISBN | : 3030479560 |
This open access book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019. In that respect, it both represents a continuation of Vol. 113 in Springer’s series Lecture Notes in Computational Science and Engineering, the corresponding report of SPPEXA’s first funding phase, and provides an overview of SPPEXA’s contributions towards exascale computing in today's sumpercomputer technology. The individual chapters address one or more of the research directions (1) computational algorithms, (2) system software, (3) application software, (4) data management and exploration, (5) programming, and (6) software tools. The book has an interdisciplinary appeal: scholars from computational sub-fields in computer science, mathematics, physics, or engineering will find it of particular interest.
