Blending Extensibility and Performance in Dense and Sparse Parallel Data Management-Reference-Cited by-同舟云学术

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Blending Extensibility and Performance in Dense and Sparse Parallel Data Management

Published:2014-10 Issue:10 Volume:25 Page:2509-2519
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Fresno Javier,Gonzalez-Escribano Arturo,Llanos Diego R.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/6895194/06616547.pdf?arnumber=6616547

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed programming of a hyperspectral image registration algorithm for heterogeneous GPU clusters;Journal of Parallel and Distributed Computing;2021-05

2. SparseX;ACM Transactions on Mathematical Software;2018-04-26

3. Integrating frequent pattern clustering and branch-and-bound approaches for data partitioning;Information Sciences;2016-01

4. MARL-Ped+Hitmap: Towards Improving Agent-Based Simulations with Distributed Arrays;Algorithms and Architectures for Parallel Processing;2016

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