Tools for High Performance Computing 2016

Tools for High Performance Computing 2016
Author: Christoph Niethammer
Publisher: Springer
Total Pages: 147
Release: 2017-05-06
Genre: Computers
ISBN: 3319567020

This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany – a forum to discuss the latest advances in parallel tools. High-performance computing plays an increasingly important role for numerical simulation and modelling 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 have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.

Tools for High Performance Computing

Tools for High Performance Computing
Author: Rainer Keller
Publisher: Springer Science & Business Media
Total Pages: 203
Release: 2008-06-03
Genre: Computers
ISBN: 3540685642

Developing software for current and especially for future architectures will require knowledge about parallel programming techniques of applications and library p- grammers. Multi-core processors are already available today, and processors with a dozen and more cores are on the horizon. The major driving force in hardware development, the game industry, has - ready shown interest in using parallel programming paradigms, such as OpenMP for further developments. Therefore developers have to be supported in the even more complex task of programming for these new architectures. HLRS has a long-lasting tradition of providing its user community with the most up-to-date software tools. Additionally, important research and development projects are worked on at the center: among the software packages developed are the MPI correctness checker Marmot, the OpenMP validation suite and the M- implementations PACX-MPI and Open MPI. All of these software packages are - ing extended in the context of German and European community research projects, such as ParMA, the InterActive European Grid (I2G) project and the German C- laborative Research Center (Sonderforschungsbereich 716). Furthermore, ind- trial collaborations, i.e. with Intel and Microsoft allow HLRS to get its software production-grade ready. In April 2007, a European project on Parallel Programming for Multi-core - chitectures, in short ParMA was launched, with a major focus on providing and developing tools for parallel programming.

Tools for High Performance Computing 2018 / 2019

Tools for High Performance Computing 2018 / 2019
Author: Hartmut Mix
Publisher: Springer Nature
Total Pages: 270
Release: 2021-05-22
Genre: Computers
ISBN: 3030660575

This book presents the proceedings of the 12th International Parallel Tools Workshop, held in Stuttgart, Germany, during September 17-18, 2018, and of the 13th International Parallel Tools Workshop, held in Dresden, Germany, during September 2-3, 2019. The workshops are a forum to discuss the latest advances in parallel tools for high-performance computing. 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.

2016 Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering (SE HPCCSE)

2016 Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering (SE HPCCSE)
Author: IEEE Staff
Publisher:
Total Pages:
Release: 2016-11-14
Genre:
ISBN: 9781509052240

This workshop is concerned with identifying the problems faced by those working with HPC Computational Science & Engineering (CSE) applications, and understanding how appropriate software engineering (SE) tools and practices might be applied to support the development of HPC CSE applications These applications include large parallel models simulations of the physical world running on HPC systems, and applications that analyze and or manipulate large amounts of data The organizing committee hopes for participation from a broad range of stakeholders from across the SE, CSE, and HPC communities on topics including Identification of the differences in development of software between business IT environments and research environments like HPC CSE The challenges of communicating (ideas common pieces of work, requirements, functionality, practice) between people with SE and CSE backgrounds SE tools and practices which are suited for HPC CSE applications Measuring the imp

Advances in High Performance Computing

Advances in High Performance Computing
Author: Ivan Dimov
Publisher: Springer Nature
Total Pages: 464
Release: 2020-08-07
Genre: Technology & Engineering
ISBN: 3030553477

Every day we need to solve large problems for which supercomputers are needed. High performance computing (HPC) is a paradigm that allows to efficiently implement large-scale computational tasks on powerful supercomputers unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many challenging real world problems arising in engineering, economics, medicine and other areas can be formulated as large-scale computational tasks. The volume is a comprehensive collection of extended contributions from the High performance computing conference held in Borovets, Bulgaria, September 2019. This book presents recent advances in high performance computing. The topics of interest included into this volume are: HP software tools, Parallel Algorithms and Scalability, HPC in Big Data analytics, Modelling, Simulation & Optimization in a Data Rich Environment, Advanced numerical methods for HPC, Hybrid parallel or distributed algorithms. The volume is focused on important large-scale applications like Environmental and Climate Modeling, Computational Chemistry and Heuristic Algorithms.

Tools for High Performance Computing 2017

Tools for High Performance Computing 2017
Author: Christoph Niethammer
Publisher: Springer
Total Pages: 143
Release: 2019-02-14
Genre: Computers
ISBN: 3030119874

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.

Introduction to High Performance Computing for Scientists and Engineers

Introduction to High Performance Computing for Scientists and Engineers
Author: Georg Hager
Publisher: CRC Press
Total Pages: 350
Release: 2010-07-02
Genre: Computers
ISBN: 1439811938

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author

Introduction to High Performance Scientific Computing

Introduction to High Performance Scientific Computing
Author: Victor Eijkhout
Publisher: Lulu.com
Total Pages: 536
Release: 2010
Genre: Computers
ISBN: 1257992546

This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.

Tools for High Performance Computing 2015

Tools for High Performance Computing 2015
Author: Andreas Knüpfer
Publisher: Springer
Total Pages: 184
Release: 2016-07-27
Genre: Computers
ISBN: 3319395890

High Performance Computing (HPC) remains a driver that offers huge potentials and benefits for science and society. However, a profound understanding of the computational matters and specialized software is needed to arrive at effective and efficient simulations. Dedicated software tools are important parts of the HPC software landscape, and support application developers. Even though a tool is by definition not a part of an application, but rather a supplemental piece of software, it can make a fundamental difference during the development of an application. Such tools aid application developers in the context of debugging, performance analysis, and code optimization, and therefore make a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools presented and discussed at the 9th International Parallel Tools Workshop held in Dresden, Germany, September 2-3, 2015, which offered an established forum for discussing the latest advances in parallel tools.

Conquering Big Data with High Performance Computing

Conquering Big Data with High Performance Computing
Author: Ritu Arora
Publisher: Springer
Total Pages: 328
Release: 2016-09-16
Genre: Computers
ISBN: 3319337424

This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.