Journal Article10.1007/S10766-011-0191-4
A Double Adaptive Algorithm for Multidimensional Integration on Multicore Based HPC Systems
TL;DR: A parallel double adaptive algorithm for the computation of a multidimensional integral on multicore based multicomputer systems is described and results on a Blade Server with 8 nodes and 2 quad-core CPUs per node have been achieved.
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Abstract: In this work, a parallel double adaptive algorithm for the computation of a multidimensional integral on multicore based multicomputer systems is described. This new algorithm is the revision of a procedure developed by one of the present authors for multicomputer systems, with the aim to introduce features for an efficient implementation in multicore based hierarchical environments. Two different adaptive strategies have been combined together in the algorithm: a first procedure is responsible for load balancing among the system nodes and a second one is responsible for coordinating the cores within a single node. The performance is analyzed and experimental results on a Blade Server with 8 nodes and 2 quad-core CPUs per node have been achieved.
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Citations
Clustering Algorithms on Low-Power and High-Performance Devices for Edge Computing Environments
TL;DR: In this article, the authors investigate how to implement clustering algorithms on parallel and low-energy devices for edge computing environments, and they present the experiments related to two devices with different features: the quad-core UDOO X86 Advanced+ board and the GPU-based NVIDIA Jetson Nano board.
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A Study on Adaptive Algorithms for Numerical Quadrature on Heterogeneous GPU and Multicore Based Systems
Giuliano Laccetti,Marco Lapegna,Valeria Mele,Diego Romano +3 more
- 08 Sep 2013
TL;DR: A parallel adaptive algorithm for the computation of a multidimensional integral on heterogeneous GPU and multicore based systems is described and experimental results on a system with a quad-core CPUs and two GPUs have been achieved.
An adaptive algorithm for high-dimensional integrals on heterogeneous CPU-GPU systems
TL;DR: An adaptive procedure for the numerical computation of a high‐dimensional integrals on HPC systems with heterogeneous nodes composed of multi‐core CPU and GPU devices is introduced.
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A Loosely Coordinated Model for Heap-Based Priority Queues in Multicore Environments
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