Jingjin Wu
Illinois Institute of Technology
7 Papers
47 Citations
Jingjin Wu is an academic researcher from Illinois Institute of Technology. The author has contributed to research in topics: Adaptive mesh refinement & Network topology. The author has an hindex of 5, co-authored 6 publications. Previous affiliations of Jingjin Wu include University of Electronic Science and Technology of China.
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Papers
Improving Parallel IO Performance of Cell-based AMR Cosmology Applications
Yongen Yu,Douglas H. Rudd,Zhiling Lan,Nickolay Y. Gnedin,Andrey V. Kravtsov,Jingjin Wu +5 more
- 21 May 2012
TL;DR: This study presents a parallel IO design for cell-based AMR cosmology applications, in particular, the ART(Adaptive Refinement Tree) code, and develops a user-level library to transparently and automatically aggregate small IO accesses per process to accelerate IO performance.
Hierarchical task mapping of cell-based AMR cosmology simulations
Jingjin Wu,Zhiling Lan,Xuanxing Xiong,Nickolay Y. Gnedin,Andrey V. Kravtsov +4 more
- 10 Nov 2012
TL;DR: This work design and develop a hierarchical task mapping scheme for cell-based AMR (Adaptive Mesh Refinement) cosmology simulations, in particular, the ART application, and shows that this scheme can significantly reduce application communication cost by up to 50%.
Performance Emulation of Cell-Based AMR Cosmology Simulations
Jingjin Wu,Roberto E. Gonz´lez,Zhiling Lan,Nickolay Y. Gnedin,Andrey V. Kravtsov,Douglas H. Rudd,Yongen Yu +6 more
- 26 Sep 2011
TL;DR: An emulator for cell-based AMR (adaptive mesh refinement) cosmology simulations, in particular, the Adaptive Refinement Tree (ART) application is designed, an advanced "hydro+N-body" simulation tool integrating extensive physics processes for cosmological research.
A Transparent Collective I/O Implementation
Yongen Yu,Jingjin Wu,Zhiling Lan,Douglas H. Rudd,Nickolay Y. Gnedin,Andrey V. Kravtsov +5 more
- 20 May 2013
TL;DR: A user-level library called transparent collective I/O (TCIO) is developed for application developers to easily incorporate collective I-O optimization into their applications and can significantly reduce the programming efforts required for applicationDevelopers.
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Topology mapping of irregular parallel applications on torus-connected supercomputers
TL;DR: This paper considers the topology mapping problem for torus-connected supercomputers as a discrete optimization problem in the geometric domain of a torus topology, and designs an analytical mapping algorithm, which uses numerical solvers to compute the mapping.
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