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Combinatorial Scientific Computing and Petascale Simulations

Combinatorial Scientific Computing and Petascale Simulations PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1

Book Description


Combinatorial Scientific Computing and Petascale Simulations

Combinatorial Scientific Computing and Petascale Simulations PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1

Book Description


SciDAC Institute

SciDAC Institute PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 7

Book Description


Combinatorial Scientific Computing

Combinatorial Scientific Computing PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 47

Book Description


Combinatorial Algorithms to Enable Computational Science and Engineering

Combinatorial Algorithms to Enable Computational Science and Engineering PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 12

Book Description
This final progress report summarizes the work accomplished at the Combinatorial Scientific Computing and Petascale Simulations Institute. We developed Zoltan, a parallel mesh partitioning library that made use of accurate hypergraph models to provide load balancing in mesh-based computations. We developed several graph coloring algorithms for computing Jacobian and Hessian matrices and organized them into a software package called ColPack. We developed parallel algorithms for graph coloring and graph matching problems, and also designed multi-scale graph algorithms. Three PhD students graduated, six more are continuing their PhD studies, and four postdoctoral scholars were advised. Six of these students and Fellows have joined DOE Labs (Sandia, Berkeley), as staff scientists or as postdoctoral scientists. We also organized the SIAM Workshop on Combinatorial Scientific Computing (CSC) in 2007, 2009, and 2011 to continue to foster the CSC community.

Combinatorial Algorithms to Enable Computational Science and Engineering

Combinatorial Algorithms to Enable Computational Science and Engineering PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
This final progress report summarizes the work accomplished at the Combinatorial Scientific Computing and Petascale Simulations Institute. We developed Zoltan, a parallel mesh partitioning library that made use of accurate hyeprgraph models to provide load balancing in mesh-based computations. We developed several graph coloring algorithms for computing Jacobian and Hessian matrices and organized them into a software package called ColPack. We developed parallel algorithms for graph coloring and graph matching problems, and also designed multi-scale graph algorithms. Three PhD students graduated, six more are continuing their PhD studies, and four postdoctoral scholars were advised. Six of these students and Fellows have joined DOE Labs (Sandia, Berkeley, as staff scientists or as postdoctoral scientists. We also organized the SIAM Workshop on Combinatorial Scientific Computing (CSC) in 2007, 2009, and 2011 to continue to foster the CSC community.

Combinatorial Scientific Computing

Combinatorial Scientific Computing PDF Author: Uwe Naumann
Publisher: CRC Press
ISBN: 1439827354
Category : Computers
Languages : en
Pages : 602

Book Description
Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. It includes contributions from international researchers who are pioneers in designing software and applications for high-performance computing systems. The book offers a state-of-the-art overview of the latest research, tool development, and applications. It focuses on load balancing and parallelization on high-performance computers, large-scale optimization, algorithmic differentiation of numerical simulation code, sparse matrix software tools, and combinatorial challenges and applications in large-scale social networks. The authors unify these seemingly disparate areas through a common set of abstractions and algorithms based on combinatorics, graphs, and hypergraphs. Combinatorial algorithms have long played a crucial enabling role in scientific and engineering computations and their importance continues to grow with the demands of new applications and advanced architectures. By addressing current challenges in the field, this volume sets the stage for the accelerated development and deployment of fundamental enabling technologies in high-performance scientific computing.

Petascale Computing

Petascale Computing PDF Author: David A. Bader
Publisher: CRC Press
ISBN: 1584889101
Category : Computers
Languages : en
Pages : 584

Book Description
Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today's quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge. From scalable algorithm design for massive concurrency toperformance analyses and scientific vis

Topology for Statistical Modeling of Petascale Data

Topology for Statistical Modeling of Petascale Data PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 48

Book Description
This document presents current technical progress and dissemination of results for the Mathematics for Analysis of Petascale Data (MAPD) project titled 'Topology for Statistical Modeling of Petascale Data', funded by the Office of Science Advanced Scientific Computing Research (ASCR) Applied Math program. Many commonly used algorithms for mathematical analysis do not scale well enough to accommodate the size or complexity of petascale data produced by computational simulations. The primary goal of this project is thus to develop new mathematical tools that address both the petascale size and uncertain nature of current data. At a high level, our approach is based on the complementary techniques of combinatorial topology and statistical modeling. In particular, we use combinatorial topology to filter out spurious data that would otherwise skew statistical modeling techniques, and we employ advanced algorithms from algebraic statistics to efficiently find globally optimal fits to statistical models. This document summarizes the technical advances we have made to date that were made possible in whole or in part by MAPD funding. These technical contributions can be divided loosely into three categories: (1) advances in the field of combinatorial topology, (2) advances in statistical modeling, and (3) new integrated topological and statistical methods.

Introduction to Computational Modeling Using C and Open-Source Tools

Introduction to Computational Modeling Using C and Open-Source Tools PDF Author: Jose M. Garrido
Publisher: CRC Press
ISBN: 1482216795
Category : Computers
Languages : en
Pages : 458

Book Description
Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software libra

Collaboration Portal for Petascale Simulations

Collaboration Portal for Petascale Simulations PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
The emergence of leadership class computing is creating a tsunami of data from petascale simulations. Results are typically analyzed by dozens of scientists. In order for the scientist to digest the vast amount of data being produced from the simulations and auxiliary programs, it is critical to automate the effort to manage, analyze, visualize, and share this data. One aspect of this is leveraging of their collective knowledge and experiences through a scientific social network. This can be archived through a combination of parallel back-end services, provenance capturing, and an easy to use front-end tool. 'eSimMon', is one such tool we developed as part of the Scientific Discovery through Advanced Computing (SciDAC) program. In this paper we describe eSimMon, discuss its ease of use, its efficiency, and its ability to accelerate scientific discovery through advanced computing.