Results 11 to 20 of about 3,227,937 (329)
Applied Sciences, 2021 The rapid development of artificial intelligence technology has made deep neural networks (DNNs) widely used in various fields. DNNs have been continuously growing in order to improve the accuracy and quality of the models.
Yingchi Mao +4 more
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Characterizing task-based OpenMP programs. [PDF]
PLoS ONE, 2015 Programmers struggle to understand performance of task-based OpenMP programs since profiling tools only report thread-based performance. Performance tuning also requires task-based performance in order to balance per-task memory hierarchy utilization ...
Ananya Muddukrishna +2 more
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Toward Efficient Similarity Search under Edit Distance on Hybrid Architectures
Information, 2022 Edit distance is the most widely used method to quantify similarity between two strings. We investigate the problem of similarity search under edit distance.
Madiha Khalid +2 more
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Resolving ambiguous polarity stripping ellipsis structures in Persian
Glossa, 2021 Previous studies have shown that English speakers use a range of factors including locality, information structure, and semantic parallelism to interpret clausal ellipsis structures. Yet, the relative importance of each factor is currently underexplored.
Jesse Harris, Vahideh Rasekhi
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Exploiting Task Parallelism with OpenCL: A Case Study
Journal of Signal Processing Systems, 2018 While data parallelism aspects of OpenCL have been of primary interest due to the massively data parallel GPUs being on focus, OpenCL also provides powerful capabilities to describe task parallelism.
P. Jääskeläinen +8 more
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IEEE Access, 2020 With the development of earth observation technologies and the construction of earth observation systems, an increasing amount of remote sensing data are being obtained. These provide the datasets required for research on remote sensing monitoring across
Hongyi Li, Ping Tang
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Optimizing Iterative Data-Flow Scientific Applications Using Directed Cyclic Graphs
IEEE Access, 2023 Data-flow programming models have become a popular choice for writing parallel applications as an alternative to traditional work-sharing parallelism. They are better suited to write applications with irregular parallelism that can present load imbalance.
David Alvarez, Vicenc Beltran
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SpECTRE: A Task-based Discontinuous Galerkin Code for Relativistic Astrophysics [PDF]
, 2017 We introduce a new relativistic astrophysics code, SpECTRE, that combines a discontinuous Galerkin method with a task-based parallelism model. SpECTRE's goal is to achieve more accurate solutions for challenging relativistic astrophysics problems such as
Bohn, Andy +13 more
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ISPRS International Journal of Geo-Information, 2017 Parallel processing in the real-time visualization of three-dimensional Geographic Information Systems (3DGIS) has tended to concentrate on algorithm levels in recent years, and most of the existing methods employ multiple threads in a Central Processing
Dongbo Zhou +4 more
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A Parallelised ROOT for Future HEP Data Processing [PDF]
EPJ Web of Conferences, 2019 In the coming years, HEP data processing will need to exploit parallelism on present and future hardware resources to sustain the bandwidth requirements. As one of the cornerstones of the HEP software ecosystem, ROOT embraced an ambitious parallelisation
Piparo Danilo +6 more
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