15 Papers
1.3K Citations
Chao Mei is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Multi-core processor & Load balancing (computing). The author has an hindex of 11, co-authored 15 publications. Previous affiliations of Chao Mei include Fudan University.
Chat about Author
Papers
•Book
Scalable Molecular Dynamics with NAMD
James C. Phillips,Klaus Schulten,Abhinav Bhatele,Chao Mei,Y. Sun,Laxmikant V. Kale +5 more
- 14 Dec 2012
TL;DR: NAMD is a parallel molecular dynamics code designed for high‐performance simulation of large biomolecular systems in realistic environments of 100,000 atoms.
Scalable Molecular Dynamics with NAMD.
James C. Phillips,Klaus Schulten,Abhinav Bhatele,Chao Mei,Yanhua Sun,Eric Bohm,Laxmikant V. Kale +6 more
- 01 Jan 2013
TL;DR: NAMD as mentioned in this paper is a parallel molecular dynamics code designed for highperformance simulation of large biomolecular systems, which can scale to hundreds of processors on high-end parallel platforms, as well as tens of processors in low-cost commodity clusters, and also runs on individual desktop and laptop computers.
1.2K
Overcoming scaling challenges in biomolecular simulations across multiple platforms
Abhinav Bhatele,Sameer Kumar,Chao Mei,James C. Phillips,Gengbin Zheng,Laxmikant V. Kale +5 more
- 14 Apr 2008
TL;DR: New scalability challenges in biomolecular simulations: using much larger machines and simulating molecular systems with millions of atoms are described, and new techniques developed to overcome these challenges are described.
88
A Hierarchical Approach for Load Balancing on Parallel Multi-core Systems
Laércio Lima Pilla,Christiane Pousa Ribeiro,Daniel Cordeiro,Chao Mei,Abhinav Bhatele,Philippe O. A. Navaux,François Broquedis,Jean-François Méhaut,Laxmikant V. Kale +8 more
- 10 Sep 2012
TL;DR: NucoLB is introduced, a topology-aware load balancer that focuses on redistributing work while reducing communication costs among and within compute nodes and takes the asymmetric memory access costs present on NUMA multi-core compute nodes, the interconnection network overheads, and the application communication patterns into account in its balancing decisions.
Optimizing a parallel runtime system for multicore clusters: a case study
Chao Mei,Gengbin Zheng,Filippo Gioachin,Laxmikant V. Kale +3 more
- 02 Aug 2010
TL;DR: This paper studies several multicore performance issues on clusters using Intel, AMD and IBM processors in the context of the Charm++ runtime system, and presents the optimization techniques that overcome these performance issues.