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pro vyhledávání: '"Fu, Yuankun"'
Autor:
Fu, Yuankun, Song, Fengguang
Publikováno v:
Euro-Par 2021: Parallel Processing. 27th International Conference on Parallel and Distributed Computing, Lisbon, Portugal,September 1-3, 2021, Pages 519-535
Lattice Boltzmann method (LBM) is a promising approach to solving Computational Fluid Dynamics (CFD) problems, however, its nature of memory-boundness limits nearly all LBM algorithms' performance on modern computer architectures. This paper introduc
Externí odkaz:
http://arxiv.org/abs/2208.05429
Autor:
Fu, Yuankun, Song, Fengguang
Publikováno v:
Big Data and Software Defined Networks, March, 2018
This chapter introduces the state-of-the-art in the emerging area of combining High Performance Computing (HPC) with Big Data Analysis. To understand the new area, the chapter first surveys the existing approaches to integrating HPC with Big Data. Ne
Externí odkaz:
http://arxiv.org/abs/2012.15295
Autor:
Slaughter, Elliott, Wu, Wei, Fu, Yuankun, Brandenburg, Legend, Garcia, Nicolai, Kautz, Wilhem, Marx, Emily, Morris, Kaleb S., Lee, Wonchan, Cao, Qinglei, Bosilca, George, Mirchandaney, Seema, Treichler, Sean, McCormick, Patrick, Aiken, Alex
We present Task Bench, a parameterized benchmark designed to explore the performance of parallel and distributed programming systems under a variety of application scenarios. Task Bench lowers the barrier to benchmarking multiple programming systems
Externí odkaz:
http://arxiv.org/abs/1908.05790
Akademický článek
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Publikováno v:
Procedia Computer Science; 2016, Vol. 80, p52-62, 11p
