Arya, Anshu
PhD student (2009–)
BE ChemE BS Comp Sc UDelaware |
Laxmikant Kale
Dept. Computer Science
University of Illinois at Urbana-Champaign |
Improving the massively parallel quantum chemistry package, OpenAtom, to operate efficiently on petaFLOP machines, in collaboration with IBM Watson. Research goals: improving the efficiency and utilization of heterogeneous (accelerated) clusters, e.g., using an an adaptive run-time system capable of load- balancing during program execution, although currently has limited first-hand experience with GPUs. |
Cooper, Christopher
PhD student (2010–)
BSc / PEng Mech. Engrg. UTFSM (Chile) |
Lorena Barba
Mechanical Engineering, Boston University |
Working on GPU computing for fluid dynamics, meshless vortex methods, and boundary element methods. He was a research visitor to University of Bristol, UK in 2008 with EC funding, and is a recipient of “Becas Chile” of CONICYT. Has CUDA expertise for applications in partial differential equations and sparse linear algebra using Cusp. Recently was the instructor for a one-month long intensive course on CUDA held at Universidad Técnica Federico Santa María, organized by the PI, Prof. Barba. |
Gokey, Trevor
MSc student (2008–)
B.A. Psychology |
Anton Guliaev
Computing for Life Sciences Center,
San Francisco State University |
Trevor has a background in psychology and chemistry, combined with experience in system administration of small Linux clusters. He is currently a graduate student in computer science with a concentration in computing for the life sciences, with an advisor in the Chemistry and Biochemistry Department. He works in concert with a wet lab that makes point mutations of a very conserved digestive protein in mammals. His work involves using molecular simulation to elucidate changes due to the mutations under study. |
Karpenko, Oleksiy
PhD student (2008–)
MSc Comp. Sci. 2001 (Ukraine) |
Yang Dai
Bioinformatics, University of Illinois at Chicago |
His interest is massively parallel approaches to processing epigenomic data. Worked as software engineer before starting PhD; extensive programming experience in C++ and OOP and many languages and environments. Publications in Bioinformatics, Immunogentics, Methods in Molecular Biology. |
Krishnan, Anush
PhD student (2009–)
B.Tech/M.Tech. Aerospace Engineering, IIT Madras |
Lorena Barba
Mechanical Engineering
Boston University |
He is currently working on implementing the immersed boundary method to simulate flows over moving bodies. The work could have potential applications for the study of insect flight and micro-air vehicles. He has experience with vortex methods and a solid background in computational fluid dynamics. His programming skills include various languages and libraries: C/C++, Python, bash, PETSc, CUDA, Boost. |
Layton, Simon
PhD student (2008–)
BSc Math/CS Bristol MSc Mech. Eng. BU 2011 |
Lorena Barba
Mechanical Engr. Dept., Boston University |
His research has concentrated on the use of CUDA to accelerate various scientific problems including the Immersed Boundary Method and Fast Gauss Transform. Two conference presentations (USNCCM ’08, ParCFD ’11) and one journal paper (CPC ’11). Extensive programming experience in Python, C/C++ and CUDA. NVIDIA intern during Summer ’11 working on CUDA accelerated Algebraic Multigrid (AMG). |
Li, Ying-Wai
PhD student (2007–)
BSc / MSc Physics Univ. Hong Kong |
David P. Landau,
Dept. Physics & Astronomy, University of Georgia |
Her research focuses on Monte Carlo simulations of simplified lattice protein models, with focus on interaction of proteins with attractive substrates. She has four papers in high impact-factor journals, and additional conference papers. Has attended two summer schools on GPU, has experience with CUDA, as well as Python and C++ |
McKenzie, Amber
PhD student (2008-)
MSc linguistics |
Manton Matthews
Computer Science, University of South Carolina |
She is currently working on implementing MapReduce natural language processing (NLP) algorithms on a cluster of GPUs, as the result of a grant of GPUs from Nvidia. Has experience programming in CUDA and the Hadoop MapReduce framework, as well as Python and NLTK. |
Olson, Britton
PhD student (2008-_
B.S. Mech. Engrg. Brigham Young University |
Sanjiva Lele
Aero/Astro, Stanford University |
A DOE Computational Science Graduate Fellow, he is currently working on large eddy simulation of rocket nozzles. He has published in Physics of Fluids and Journal of Computational Physics and done internship twice at Lawrence Berkeley National Laboratory. Britton lived for two years in Mexico during his undergraduate career, mastering the Spanish language and providing humanitarian service. |
Payne, Benjamin
PhD student (2009–)
MSc Physics MST
BSc UWi |
Alexey Yamilov
Dept. Physics, Missouri University of Science and Technology |
Ben previously worked as system administrator (100 users) at UWi-Madison and is in the Air Force National Guard. He has XSEDE experience with more than 16,000 processors, and four journal publications. His PhD research is focused on light propagation through media with randomly-placed scatterers. |
Perilla, Juan
PhD student (2005–)
BSc Physics (Colombia) |
Thomas Woolf
Dept. of Biophysics and Physical Chemistry, Johns Hopkins University |
Has developed and published new methods that tackle the problem of transition states for large biological systems reducing the computational cost compared to other alternatives. Has mainly focused on large parallel architectures (Kraken, Steele). Researcher at the Epilepsy Center, doing volumetric reconstructions from MRI and CT scans for accurately locating electrodes in patients with epilepsy that have to undergo brain surgery. |
Reiter, Andrew
MSc student (2010–)
BSc Mathematics, UMass Amherst |
Bruce Turkington
Dept. of Applied Mathematics, UMass Amherst |
Previously a computer security engineer, Andrew has broad experience as a developer of open-source software, network security consultant and operating system design. After several years in the computer industry, he decided to return to university to study mathematics. His current focus is in optimization and computational mathematics, with interests in the fields of mulecular biology and fluid mechanics. |
Sidelnik, Albert
PhD student
BSc in computer science |
David Padua
Computer Science, UIUC |
His main interests are developing programming models and optimization techniques for large-scale and many-core parallel systems. He is currently developing compiler optimizations and analytical models for high-level GPU programming. His focus is in language extensions and compiler techniques for the translation of programs from array languages (e.g. Chapel) to efficient CPU/GPU code. Albert has done internships at Nvidia Research, IBM Watson, and Cray. He has also worked at IBM on the bring up and development of the BlueGene/L and /P supercomputers. He has 8 published US patents on parallel computer architectures, and is a 2010-2011 and 2011-2012 Nvidia Fellowship recipient. |
Stuart, Jeffery
PhD student
BB/MS Univ NV both in CS |
John Owens
Computer Science, University of California, Davis |
Internships in Nvidia and Google; multiple computing conference presentations. Focusing almost exclusively on GPUs in his PhD research. Part of the SciDAC UltraViz institute. MapReduce implementation on a GPU cluster. |
Waggy, Scott
PhD student (2009-)
B.Sc Mech. Engrg. Colorado School of Mines |
S. Biringen
Aero. Engrg. Sciences, Univ. Colorado Boulder |
His current area of research is computational modelling of the atmospheric boundary layer, and he has developed a fully parallel Navier-Stokes solver for that purpose. The goal is to analyze the flow in the wake of a wind turbine to determine the effect the structure has on the surrounding environment. |
Yang, Lun
PhD student (2008-)
B.Sc. Civil Engrg. Zhejiang University (China) |
Kaushik Dayal
Comput. Science and Engrg. Carnegie Mellon University |
Lun’s research interests include mechanics of microstructure in solids and real-space phase field modeling of ferroelectrics-based materials. Current work involves modeling ferroelectrics with boundary element methods. |