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pro vyhledávání: '"Julien C. Thibault"'
Publikováno v:
SAR and QSAR in Environmental Research. 26:577-593
Biomolecular simulations aim to simulate structure, dynamics, interactions, and energetics of complex biomolecular systems. With the recent advances in hardware, it is now possible to use more complex and accurate models, but also reach time scales t
Publikováno v:
Journal of Chemical Information and Modeling
As the amount of data generated by biomolecular simulations dramatically increases, new tools need to be developed to help manage this data at the individual investigator or small research group level. In this paper, we introduce iBIOMES Lite, a ligh
Publikováno v:
J Chem Inf Model
Biomolecular simulations, which were once batch queue or compute limited, have now become data analysis and management limited. In this paper we introduce a new management system for large biomolecular simulation and computational chemistry data sets
Autor:
Inanc Senocak, Julien C. Thibault
Publikováno v:
The Journal of Supercomputing. 59:693-719
Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as massively-parallel "co-processors" to the central processing unit (CPU). Small-footprint multi-GPU workstations with hundreds of processing elements ca
Publikováno v:
48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition.
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose parallel computing platforms that can accelerate simulation science applications tremendously. While multiGPU workstations with several TeraFLOPS of
Autor:
Julien C. Thibault, Inanc Senocak
Publikováno v:
47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition.
Graphics processor units (GPU) that are traditionally designed for graphics rendering have emerged as massively-parallel "co-processors" to the central processing unit (CPU). Small-footprint desktop supercomputers with hundreds of cores that can deli
Publikováno v:
Journal of Cheminformatics
Background Few environments have been developed or deployed to widely share biomolecular simulation data or to enable collaborative networks to facilitate data exploration and reuse. As the amount and complexity of data generated by these simulations