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This book constitutes the refereed proceedings of the 33rd International Conference, ISC High Performance 2018, held in Frankfurt, Germany, in June 2018. The 20 revised full papers presented in this book were carefully reviewed and selected from 81 submissions. The papers cover the following topics: Resource Management and Energy Efficiency; Performance Analysis and Tools; Exascale Networks; Parallel Algorithms.
This book constitutes the refereed proceedings of the 32nd International Conference, ISC High Performance 2017, held in Frankfurt, Germany, in June 2017. The 22 revised full papers presented in this book were carefully reviewed and selected from 66 submissions. The papers cover the following topics: applications and algorithms; proxy applications; architecture and system optimization; and energy-aware computing.
Ludwig (Institut fur Informatik, Ruprecht-Karls-Universitat Heidelberg, Germany) and Miller (computer science, U. of Wisconsin, US) present five papers examining the construction and methodology of tools for debugging and performance analysis in parallel programs. After a review of the past decade's work in debuggers and performance analyzers, papers look a tool infrastructure, an operational tool environment for multi-thread and multi-process debugging and execution visualization, multi-execution performance tuning, and the specification of performance properties of parallel applications using compound events. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
This book presents the proceedings of the 11th International Parallel Tools Workshop, a forum to discuss the latest advances in parallel tools, held September 11-12, 2017 in Dresden, Germany. High-performance computing plays an increasingly important role for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools.
"The PASA Workshops aim to build a bridge between theory and practice in the area of parallel systems and algorithms. Practical problems which require theoretical investigations as well as the applicability of theoretical approaches and results to practice are discussed. A particularly important aspect is the communication and exchange of experiences between various groups working in various areas of parallel computing, e.g. computer science, electrical engineering, physics and mathematics. This volume discusses many aspects of parallel computing from a theoretical as well as a practice-oriented point of view. It shows that there are a number of promising approaches for the application of formal methods to the solution of practical problems in the area of parallel systems and algorithms."--Publisher's website
Euro-Par – the European Conference on Parallel Computing – is an international conference series dedicated to the promotion and advancement of all aspects of parallel computing. The major themes can be divided into the broad categories of hardware, software, algorithms, and applications for parallel computing. The objective of Euro-Par is to provide a forum within which to promote the dev- opment of parallel computing both as an industrial technique and an academic discipline, extending the frontier of both the state of the art and the state of the practice. This is particularlyimportant at a time when parallel computing is - dergoing strong and sustained development and experiencing rea...
This book constitutes the refereed proceedings of the 12th International Conference on Parallel Computing, Euro-Par 2006. The book presents 110 carefully reviewed, revised papers. Topics include support tools and environments; performance prediction and evaluation; scheduling and load balancing; compilers for high performance; parallel and distributed databases, data mining and knowledge discovery; grid and cluster computing: models, middleware and architectures; parallel computer architecure and instruction-level parallelism; distributed systems and algorithms, and more.