Results 1 to 10 of about 5,647,510 (295)
A Novel DSP Architecture for Scientific Computing and Deep Learning
IEEE Access, 2019 Exascale computing requires accelerators with ultrahigh power efficiency. Digital signal processors (DSPs), the most important embedded processors widely known for high power efficiency, are rarely explored in the HPC community.
Chao Yang +4 more
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IEEE Access, 2019 This paper studied the train stop planning problem with variable train length and stop time under stochastic demand (TSPPWVTLSTSD). As we know, stop time and train length were often considered in a fixed manner in train stop planning for high-speed rail (
Guowei Jin +4 more
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Teaching Scientific Computing [PDF]
, 2004 We consider the wide scale use of computers in scientific research and the implications for the educational curriculum. We examine the practice of scientific computing from the perspective of obtaining robust numerical results. We explore the philosophy underlying this process and isolate the essential elements.
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Templet Web: the use of volunteer computing approach in PaaS-style cloud
Open Engineering, 2018 This article presents the Templet Web cloud service. The service is designed for high-performance scientific computing automation. The use of high-performance technology is specifically required by new fields of computational science such as data mining,
Vostokin Sergei +2 more
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Defects, Scientific Computation and the Scientific Method [PDF]
, 2012 Computation has rapidly grown in the last 50 years so that in many scientific areas it is the dominant partner in the practice of science. Unfortunately, unlike the experimental sciences, it does not adhere well to the principles of the scientific method as espoused by for example, the philosopher Karl Popper.
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Systematic selection of surrogate models for nonequilibrium chemistry
Astronomy & AstrophysicsContext. Nonequilibrium chemistry is central to many astrophysical environments, but remains a major computational bottleneck in simulations because solving the associated stiff, coupled, ordinary differential equation systems is expensive.
Janssen Robin +2 more
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Synaptic Bouton Properties Are Tuned to Best Fit the Prevailing Firing Pattern
Frontiers in Computational Neuroscience, 2014 The morphology of presynaptic specializations can vary greatly ranging from classical single-release-site boutons in the central nervous system to boutons of various sizes harboring multiple vesicle release sites.
Markus M eKnodel +7 more
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Erlangen von Verständnis und Erlernen von Fertigkeiten in der Mathematik einmal anders
Zeitschrift für Hochschulentwicklung, 2014 Der folgende Artikel behandelt die Vorstellung eines didaktischen Konzepts sowie deren Umsetzung und Auswirkungen in den Lehrveranstaltungen Mathematik für Elektrotechnik an der Technischen Universität Wien.
Andreas Körner +3 more
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PathMe: merging and exploring mechanistic pathway knowledge
BMC Bioinformatics, 2019 Background The complexity of representing biological systems is compounded by an ever-expanding body of knowledge emerging from multi-omics experiments.
Daniel Domingo-Fernández +4 more
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IEEE AccessThis study examines the application of Large Reasoning Model (LRM)-based artificial intelligence (AI) agents to accelerate scientific discovery, with a specific focus on the rapid prototyping of numerical algorithms.
Ioannis W. Kokkinakis, Dimitris Drikakis
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