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» Array language support for parallel sparse computation
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ICFP
2007
ACM
15 years 9 months ago
Feedback directed implicit parallelism
In this paper we present an automated way of using spare CPU resources within a shared memory multi-processor or multi-core machine. Our approach is (i) to profile the execution o...
Tim Harris, Satnam Singh
ICLP
2003
Springer
15 years 2 months ago
On Deterministic Computations in the Extended Andorra Model
Logic programming is based on the idea that computation is controlled inference. The Extended Andorra Model provides a very powerful framework that supports both co-routining and p...
Ricardo Lopes, Vítor Santos Costa, Fernando...
PDP
2008
IEEE
15 years 4 months ago
A Transformation Framework for Communicating Multiprocessor-Tasks
Parallel programming models based on a mixture of task and data parallelism have shown to be successful in addressing the increasing communication overhead of distributed memory p...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...
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ARTS
1999
Springer
15 years 1 months ago
Specifying Performance Measures for PEPA
Stochastic process algebras such as PEPA provide ample support for the component-based construction of models. Tools compute the numerical solution of these models; however, the st...
Graham Clark, Stephen Gilmore, Jane Hillston
PLDI
2011
ACM
14 years 15 days ago
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typ...
Ashwin Prasad, Jayvant Anantpur, R. Govindarajan