Results 31 to 40 of about 7,328 (165)
A Scheduling Method of Moldable Parallel Tasks Considering Speedup and System Load on the Cloud
IEEE Access, 2019 The moldable parallel task (MPT) is a kind of parallel task that their sub-tasks hold the resources exclusively, which has been widely used in different areas. Our paper focuses on the scheduling of moldable tasks when every sub-task supports time-slice.
Jianmin Li, Ying Zhong, Xin Zhang
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Performance monitoring and analysis of task-based OpenMP. [PDF]
PLoS ONE, 2013 OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performance computing community due to the popularity of multicore architectures in recent years.
Yi Ding, Kai Hu, Kai Wu, Zhenlong Zhao
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Basic principles of odontopreparation for non-removable orthopedic structures (literature review)
Вестник медицинского института «Реавиз»: Реабилитация, врач и здоровье, 2021 Introduction. The actual problem of dentists-orthopedists at the present time is a violation of the odontopreparation protocol and, as a result, poor-quality fixation of various non-removable orthopedic structures.
D. I. Dmitriev +2 more
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Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation
Algorithms, 2019 Generated and collected data have been rising with the popularization of technologies such as Internet of Things, social media, and smartphone, leading big data term creation. One class of big data hidden information is causality.
Jonas R. Dourado +2 more
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IEEE AccessIn this paper, we propose a model-based workflow to generate parallel code on a multiple instruction stream, multiple data stream (MIMD) processor with vector accelerator (MIMDV) from a Simulink model. Solving data- and task-parallelism is crucial during
Shanwen Wu +3 more
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Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs
Oil & Gas Science and Technology, 2018 Python is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in the emergence of a large number of
Amela Ramon +4 more
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Task parallelism and high-performance languages [PDF]
IEEE Parallel & Distributed Technology: Systems & Applications, 1994 The definition of High Performance Fortran (HPF) is a significant event in the maturation of parallel computing: it represents the first parallel language that has gained widespread support from vendors and users. The subject of this paper is to incorporate support for task parallelism.
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Implementation and Evaluation of Dynamic Task Allocation for Human–Robot Collaboration in Assembly
Applied Sciences, 2022 Human–robot collaboration is becoming increasingly important in industrial assembly. In view of high cost pressure, resulting productivity requirements, and the trend towards human-centered automation in the context of Industry 5.0, a reasonable ...
Christoph Petzoldt +5 more
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Multi-Satellite Task Parallelism via Priority-Aware Decomposition and Dynamic Resource Mapping
MathematicsMulti-satellite collaborative computing has achieved task decomposition and collaborative execution through inter-satellite links (ISLs), which has significantly improved the efficiency of task execution and system responsiveness.
Shangpeng Wang +4 more
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Mapping the Join Calculus to Heterogeneous Hardware [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 As modern architectures introduce additional heterogeneity and parallelism, we look for ways to deal with this that do not involve specialising software to every platform.
Peter Calvert, Alan Mycroft
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