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  1. Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientific Computing (POOSC '09)
  2. From structured to object oriented programming in parallel algorithms for 3D image reconstruction
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From structured to object oriented programming in parallel algorithms for 3D image reconstruction
Generic compressed sparse matrix insertion: algorithms and implementations in MTL4 and FEniCS
Basic concepts to design a DSL for parallel finite volume applications: extended abstract
The Arcane development framework
Data structure properties for scientific computing: an algebraic topology library
C++ code design for multi-purpose explicit finite volume methods: requirements and solutions
Multi-target C++ implementation of parallel skeletons
Parallel expression template for large vectors
An adaptable framework for distributed and parallel applications
The forced evolution of implementations: using a Monte Carlo algorithm as example
A generic and self-optimizing polynomial library

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From structured to object oriented programming in parallel algorithms for 3D image reconstruction

Content Provider ACM Digital Library
Author Álvarez, José A. Roca-Piera, Javier Fernández, José J.
Abstract Emerging computer architectures intend to overcome limitations imposed by the power consumption, thermal issues and physics. Multicore processors and computing platforms where GPUs and CPUs are combined, are turning into attractive computing platforms for developers. These architectures are characterized for breaking the trend in computing. They are single computing entities built on an aggregate of smaller and pseudo independent processing silicon dies. New trends in parallel computing are shifting towards the multicore arena. A new factor arises in such scenario, the concurrence. But concurrence is not parallelism. Parallel applications (and sequential ones, of course) that wish to take advantage of this new environment need to take this into consideration, or being completely rewritten in such a way that parallelism can be expressed by means of concurrence. In this changing scenario, abstractions may help to keep performance. This paper shows how the abstractions employed to model a problem, may play an important role from the performance and scalability perspectives.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781605585475
DOI 10.1145/1595655.1595656
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-07-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Object orientation for high performance computing
Content Type Text
Resource Type Article
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