Results 41 to 50 of about 7,375 (166)
Mapping the Join Calculus to Heterogeneous Hardware [PDF]
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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Task parallelism and high-performance languages [PDF]
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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Research and key technologies of centralized control system for command center task software
With the increasing number of weapon space test missions, the demand for rapid deployment and multi-task parallelism of mission software in command centers has become increasingly urgent. This paper designs a centralized control system for command center
Du Bing +4 more
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DBEFT: A Dependency-Ratio Bundling Earliest Finish Time Algorithm for Heterogeneous Computing
Performance effective task scheduling algorithms are essential for taking advantage of the heterogeneous multi-processor in heterogeneous computing environments.
Tao Li +6 more
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Enhancement of GPU-accelerated smoothed particle hydrodynamics (SPH) method with dynamic parallelism
An innovative GPU programming architecture leveraging CUDA Dynamic Parallelism (CDP) is introduced in this study, aiming to enhance the computational efficiency of Smoothed Particle Hydrodynamics (SPH) simulations.
Liwen Xue, Shenglong Gu, Songdong Shao
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Response errors explain the failure of independent-channels models of perception of temporal order
Independent-channels models of perception of temporal order (also referred to as threshold models or perceptual latency models) have been ruled out because two formal properties of these models (monotonicity and parallelism) are not borne out by data ...
Miguel A García-Pérez +1 more
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The Dynamic Partial Reconfiguration function of reconfigurable devices permits tasks to be performed simultaneously on a single device. Nevertheless, task placement and resource management problems emerge with the parallelism of reconfigurable devices ...
Tingyu Zhou +4 more
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CPU has insufficient resources to satisfy the efficient computation of the convolution neural network (CNN), especially for embedded applications. Therefore, heterogeneous computing platforms are widely used to accelerate CNN tasks, such as GPU, FPGA ...
Li Luo +9 more
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Distributed Memory Implementation of Bron-Kerbosch Algorithm
This paper proposes a parallel implementation of the Bron-Kerbosch algorithm, which finds all maximal cliques in large, complex graphs using CPU and thread-level parallelism and distributed memory with multiple cores. With the growing size and complexity
Tejas Ravindra Rote +4 more
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Towards Task-Parallel Reductions in OpenMP
Reductions represent a common algorithmic pattern in many scientific applications. OpenMP* has always supported them on parallel and worksharing constructs. OpenMP 3.0’s tasking constructs enable new parallelization opportunities through the annotation of irregular algorithms.
Jan Ciesko +10 more
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