الصفحة 1
الصفحة 1
Ultrascale Computing Systems
The needs of future digital data and computer systems are expected to be two to three orders of magnitude larger than for today's systems, to take account of unprecedented amounts of heterogeneous hardware, lines of source code, numbers of users, and volumes of data. Ultrascale computing systems (UCS) are a solution. Envisioned as large-scale complex systems joining parallel and distributed computing systems, which can be located at multiple sites and cooperate to provide the required resources and performance to the users, these technologies will extend individual systems to provide the resources that are very much needed.
Supercomputing ; 6th Russian supercomputing days, RuSCDays 2020, Moscow, Russia, September 21–22, 2020, Revised Selected Papers
This book constitutes the refereed post-conference proceedings of the 6th Russian Supercomputing Days, RuSCDays 2020, held in Moscow, Russia, in September 2020. The 51 revised full and 4 revised short papers presented were carefully reviewed and selected from 106 submissions. The papers are organized in the following topical sections: parallel algorithms; supercomputer simulation; HPC, BigData, AI: architectures, technologies, tools; and distributed and cloud computing.
Structural Information and Communication Complexity ; Vol. 4056 ; 13th International Colloquium, SIROCCO 2006, Chester, UK, July 2-5, 2006, Proceedings
Constitutes the refereed proceedings of the 13th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2006, held in Chester, UK, in July 2006. The 24 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 68 submissions. The papers address issues such as topics in distributed and parallel computing, information dissemination, communication complexity, interconnection networks, high speed networks, wireless and sensor networks, mobile computing, optical computing, autonomous robots, and related areas. The papers are organized in topical sections on robots, routing, distributed algorithms, fault tolerance, radio networks, and self-stabilizing alorgithms.
Structural information and communication complexity ; Vol. 3499 ; 12th International Colloquium, SIROCCO 2005, Mont Saint-Michel, France, May 24-26, 2005, Proceedings
Constitutes the refereed proceedings of the 12th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2005, held in Mont Saint-Michel, France in May 2005. The 22 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers address issues such as topics in distributed and parallel computing, information dissemination, communication complexity, interconnection networks, high speed networks, wireless networking, mobile computing, optical computing, and related areas.
Structural information and communication complexity ; 28th International Colloquium, SIROCCO 2021, Wrocław, Poland, June 28 – July 1, 2021, Proceedings
Constitutes the refereed conference proceedings of the 28th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2021, held in Wrocław, Poland, in June 2021. The 20 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers are solicited from all areas of study of local structural knowledge and global communication and computational complexities. Among the typical areas are distributed computing, communication networks, game theory, parallel computing, social networks, mobile computing
Software Engineering, Artificial Intelligence, Networking and Parallel
Presents scientific results of the 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2021-Winter) which was held on January 28-30, at Ho Chi Minh City, Vietnam.
Recent trends in algebraic development techniques ; 17th International Workshop, WADT 2004, Barcelona, Spain, March 27-29, 2004, Revised Selected Papers
This volume contains selected papers from WADT 2004, the 17th International Workshop on Algebraic Development Techniques. Like its predecessors, WADTb 2004 focussed on the algebraic approach to the specification and development of systems, an area that was born around the algebraic specification of abstract data types and encompasses today the formal design of software systems, new specification frameworks and a wide range of application areas.
Recent advances in parallel virtual machine and message passing interface ; Vol. 3666 ; 12th European PVM/MPI User's Group Meeting, Sorrento, Italy, September 18-21, 2005, Proceedings
Constitutes the proceedings of the 12th European PVM/MPI Users' Group Meeting held in Sorrento, Italy in September 2005. This book includes 61 papers, which are organized in topical sections on algorithms, extensions and improvements, cluster and grid, tools and environments, performance, applications and ParSim
Peer-to-Peer Computing : Building Supercomputers with Web Technologies
Companies are again searching for ways to improve their processing power without further investment in new hardware and software. Many client computers are idle most of the time, and have unused disk space. The next logical step is to maximise the resources of these computers, and the peer-to-peer (P2P) model is the answer.
Parallel programming : Technigues and applications using networked workstations and parallel computers
Covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead only on parallel programs that can be executed on networked workstations using freely available parallel software tools. The Second Edition has been revised to incorporate a greater focus on cluster programming as this type of programming has become more widespread with the availability of low-cost computers.
Parallel programming : for multicore and cluster systems ; 3rd ed.
Covers the new development in processor architecture and parallel hardware. It provides detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. The book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. In particular, this third edition includes an extended update of the chapter on computer architecture and performance analysis taking new developments such as the aspect of energy consumption into consideration.
Parallel Processing and Applied Mathematics ; 4th International Conference, PPAM 2001 Naleczow, Poland, September 9-12, 2001 Revised Papers
Constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Parallel Processing and Applied Mathematics, PPAM 2002, held in Naleczow, Poland, in September 2001. The 101 papers presented were carefully reviewed and improved during two rounds of reviewing and revision. The book offers topical sections on distributed and grid architectures, scheduling and load balancing, performance analysis and prediction, parallel non-numerical algorithms, parallel programming, tools and environments, parallel numerical algorithms, applications, and evolutionary computing and neural networks.
Parallel Computing Technologies ; 9th International Conference, PaCT 2007, Pereslavl-Zalessky, Russia, September 3-7, 2007, Proceedings
This book constitutes the refereed proceedings of the 9th International Conference on Parallel Computing Technologies, PaCT 2007, held in conjunction with the Russian-Taiwan symposium on Methods and Tools of Parallel Programming of Multicomputers.
Parallel Computing Technologies ; 8th International Conference, PaCT 2005, Krasnoyarsk, Russia, September 5-9, 2005, Proceedings
This book constitutes the refereed proceedings of the 8th International Conference on Parallel Computing Technologies, PaCT 2005, held in Krasnoyarsk, Russia in September 2005. The 38 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on theory, fine-grain parallelism, software, tools, and applications. A broad variety of parallel processing issues and distributed computing in general are addressed as well.
Parallel Computing Technologies ; 16th International Conference, PaCT 2021, Kaliningrad, Russia, September 13–18, 2021, Proceedings
This book constitutes the proceedings of the 16th International Conference on Parallel Computing Technologies, PaCT 2021, which was held during September 13-18, 2021. The conference was planned to take place in Kaliningrad, Russia, but changed to an online event due to the COVID-19 pandemic. The 24 full and 12 short papers included in this book were carefully reviewed and selected from 62 submissions. They were organized in topical sections as follows: parallel programming methods and tools; applications; memory-efficient data structures; experimental studies; job management; essential algorithms; computing services; and cellular automata.
Parallel and Distributed Processing and Applications ; Vol.3758 : 3rd International Symposium, ISPA 2005, Nanjing, China, November 2-5, 2005, Proceedings
Welcome to the proceedings of ISPA 2005 which was held in the city of Nanjing. Parallel computing has become a mainstream research area in computer science and the ISPA conference has become one of the premier forums for the presentation of new and exciting research on all aspects of parallel computing. We are pleased to present the proceedings for the 3rd International Symposium on Parallel and Distributed Processing and Applications (ISPA 2005), which comprises a collection of excellent technical papers, and keynote speeches. The papers accepted cover a wide range of exciting topics, including architectures, software, networking, and applications. The conference continues to grow and this year a record total of 968 manuscripts (including workshop submissions) were submitted for consideration by the Program Committee or workshops. From the 645 papers submitted to the main conference, the Program Committee selected only 90 long papers and 19 short papers in the program. Eight workshops complemented the outstanding paper sessions.
Parallel and Distributed Computing : Applications and Technologies ; 5th International Conference, PDCAT 2004, Singapore, December 8-10, 2004, Proceedings
The technical program was comprehensive and featured keynote speeches, te- nical paper presentations, and exhibitions showcased by industry vendors. The technical program committee was overwhelmed with submissions of papers for presentation, from countries worldwide. We received 242 papers and after - viewing them, based on stringent selection criteria, we accepted 173 papers. The papers in the proceedings focus on parallel and distributed computing viewed from the three perspectives of networking and architectures, software systems and technologies, and algorithms and applications. We acknowledge the great contribution from all of our local and international committee members and - per reviewers who devoted their time in the review process and provided valuable feedback for the authors. PDCAT 2004 could never have been successful without the support and ass- tance of several institutions and many people.
Parallel Algorithms and Cluster Computing ; Implementations, Algorithms and Applications
Presents major advances in high performance computing as well as major advances due to high performance computing. It contains a collection of papers in which results achieved in the collaboration of scientists from computer science, mathematics, physics, and mechanical engineering are presented. From the science problems to the mathematical algorithms and on to the effective implementation of these algorithms on massively parallel and cluster computers we present state-of-the-art methods and technology as well as exemplary results in these fields. This book shows that problems which seem superficially distinct become intimately connected on a computational level.
OpenMP : Portable multi-level parallelism on modern systems ; 16th International Workshop on OpenMP, IWOMP 2020, Austin, TX, USA, September 22–24, 2020, Proceedings
This book constitutes the proceedings of the 16th International Workshop on OpenMP, IWOMP 2020, held in Austin, TX, USA, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 21 full papers presented in this volume were carefully reviewed and selected for inclusion in this book. The papers are organized in topical sections named: performance methodologies; applications; OpenMP extensions; performance studies; tools; NUMA; compilation techniques; heterogeneous computing; and memory.
Numerical Solution of Partial Differential Equations on Parallel Computers
The scientific fields of Ma- ematics and Physics provide a powerful vehicle for such descriptions in terms of Partial Differential Equations (PDEs). Formulated as such equations, physical laws can become subject to computational and analytical studies. In the computational setting, the equations can be discreti ed for ef?cient solution on a computer, leading to valuable tools for simulation of natural and man-made processes. Numerical so- tion of PDE-based mathematical models has been an important research topic over centuries, and will remain so for centuries to come. In the context of computer-based simulations, the quality of the computed results is directly connected to the model’s complexity and the number of data points used for the computations. Therefore, computational scientists tend to ?ll even the largest and most powerful computers they can get access to, either by increasing the si e of the data sets, or by introducing new model terms that make the simulations more realistic, or a combination of both. Today, many important simulation problems can not be solved by one single computer, but calls for parallel computing.
