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.
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.
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.
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.
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.
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.
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.
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.
A major feature of the Ada programming language is the facilities it provides for concurrent programming. Alan Burns and Andy Wellings provide here a thorough and self-contained account of concurrent programming in Ada, and so show users, even beginners, how to harness the full power of the whole language. After giving an overview of the non-concurrent features of Ada, the authors proceed to examine in detail the uses of concurrent programming and the inherent difficulties in providing inter-process communication. The Ada tasking model is then introduced; the way it deals with these and related matters is explained in a number of separate chapters, covering system programming, real-time issues, distribution, object-oriented programming and re-use. This is the first book which deals with concurrent features in the new Ada standard, and it offers practical advice to the programmer needing to use it for embedded systems, while those interested more broadly in the development of programming languages will find many otherwise inaccessible issues probed in depth. It will thus be of value to professional software engineers and advanced students of programming alike; indeed, every Ada programmer will find it essential reading and a primary reference work. For the paperback edition the authors have made revisions throughout the text, updating and correcting where appropriate.
This book presents a hybrid static-dynamic approach for efficient performance analysis of parallel applications on HPC systems. Performance analysis is essential to finding performance bottlenecks and understanding the performance behaviors of parallel applications on HPC systems. However, current performance analysis techniques usually incur significant overhead. Our book introduces a series of approaches for lightweight performance analysis. We combine static and dynamic analysis to reduce the overhead of performance analysis. Based on this hybrid static-dynamic approach, we then propose several innovative techniques for various performance analysis scenarios, including communication analysis, memory analysis, noise analysis, computation analysis, and scalability analysis. Through these specific performance analysis techniques, we convey to readers the idea of using static analysis to support dynamic analysis. To gain the most from the book, readers should have a basic grasp of parallel computing, computer architecture, and compilation techniques.
