Results 11 to 20 of about 32,736 (268)
Parallel Locality and Parallelization Quality [PDF]
Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, 2016 This paper presents a new distributed computation model adapted to manycore processors. In this model, the run is spread on the available cores by fork machine instructions produced by the compiler , for example at function calls and loops iterations. This approach is to be opposed to the actual model of computation based on cache and predictor.
Goossens, Bernard +3 more
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To parallelize or not to parallelize, bugs issue
CoRR, 2013 Program correctness is one of the most difficult challenges in parallel programming. Message Passing Interface MPI is widely used in writing parallel applications. Since MPI is not a compiled language, the programmer will be enfaced with several programming bugs.This paper presents the most common programming bugs arise in MPI programs to help the ...
Alaa I. El-Nashar, Masaki Nakamura 0001
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Proceedings of the 27th Annual ACM Symposium on Applied Computing, 2012 The estimation of the Tree of Life, a rooted binary tree representing how all extant species evolved from a common ancestor, is one of the grand challenges of modern biology. Research groups around the world are attempting to estimate evolutionary trees on particular sets of species (typically clades, or rooted subtrees), in the hope that a final ...
Diogo Telmo Neves +3 more
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Information and Computation, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeffrey Scott Vitter, Jyh-Han Lin
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Parallel visibility computations for parallel radiosity [PDF]
, 1994 The radiosity method models the interaction of light between diffuse reflecting surfaces, thereby accurately predicting global illumination effects. Due to the high computational effort to calculate the transfer of light between surfaces and the memory requirements for the scene description, a distributed, parallelized verison of the algorithm is ...
Wolfgang Stürzlinger, Christoph Wild
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E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware
Frontiers in Neuroscience, 2022 IntroductionIn recent years, the application of deep learning models at the edge has gained attention. Typically, artificial neural networks (ANNs) are trained on graphics processing units (GPUs) and optimized for efficient execution on edge devices ...
Amirhossein Rostami +4 more
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Two-Level Fault Diagnosis of SF6 Electrical Equipment Based on Big Data Analysis
Big Data and Cognitive Computing, 2019 With the increase of the operating time of sulphur hexafluoride (SF6) electrical equipment, the different degrees of discharge may occur inside the equipment.
Hongxia Miao +4 more
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ModFem – a computational framework for parallel adaptive finite element simulations [PDF]
Computer Methods in Materials Science, 2013 “We present the design and its’ implementation for a flexible and robust modular finite element framework, called ModFem. The design is based on reusable modules which use narrow and well-defined interfaces to cooperate.
Kazimierz Michalik +3 more
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Parallelism and Functionalism [PDF]
Cognitive Science, 1989 It has recently been argued by Paul Thagard (1986) that parallel computational models of cognition demonstrate the falsity of the popular theory of mind known as functionalism. It is my contention that his argument is seriously mistaken and rests on a misunderstanding of the functionalist position.
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Cahiers d’Études Germaniques, 2015 If a translator pursues the purpose to transfer an original text to the readers from an unfamiliar culture authentically, it is important to identify various intertexts and contexts of phrases, quotes and stories.
Hosung Lee
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