Denis Trystram – författare

In this book the authors aim to endow the reader with an operational, conceptual, and methodological understanding of the discrete mathematics that can be used to study, understand, and perform computing.

In this book the authors aim to endow the reader with an operational, conceptual, and methodological understanding of the discrete mathematics that can be used to study, understand, and perform computing.

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.

This volume presents the proceedings of the joint meetingCONPAR 92 - VAPP V, held in Lyon, France, September 1992.The international Conferences on Parallel Processing(CONPAR) and the meetings on Vector and Parallel Processorsin computational science (VAPP) have been held jointly sinceCONPAR 90 - VAPP IV, held in Zurich.The aim of the meeting presented in this volume is to reviewhardware and architecture developmentstogether withlanguages and software tools for supporting parallelprocessing and to highlight advances in models, algorithms,andapplications software on vector and parallelarchitectures. The papers in the volume are organized intosections on networks, software tools, distributedalgorithms, dedicated architectures, numerical applications,systolic algorithms, parallel linear algebra, architectures,shared virtual memory, load balancing, data parallelism,parallel algorithms, image processing, compiling andscheduling, simulation and performance analysis, parallelartificialintelligence, dataflow architectures, parallelprogramming, and poster presentations.

In this volume authors of academia and practice provide practitioners, scientists and graduate students with a good overview of basic methods and paradigms, as well as important issues and trends across the broad spectrum of parallel and distributed processing. In particular, the book covers fundamental topics such as efficient parallel algorithms, languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, management of resources, tools for parallel computing, parallel database systems and multimedia object servers, and networking aspects of distributed and parallel computing. Three chapters are dedicated to applications: parallel and distributed scientific computing, high-performance computing in molecular sciences, and multimedia applications for parallel and distributed systems. Summing up, the Handbook is indispensable for academics and professionals who are interested in learning the leading expert`s view of the topic.