Principal Investigators, Administration, and Infrastructure Support
C–D |
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Assistant Professor, Mechanical Engineering, (650) 736-1671 caiwei@stanford.edu http://me.stanford.edu/me_profile.php?sunetid=caiwei Project 2–5: Nanoscale Dislocation Dynamics in Crystals Predicting mechanical strength of materials through theory and simulations of defect microstructures across atomic, mesoscopic and continuum scales. Developing new atomistic simulation methods for long time-scale processes, such as crystal growth and self-assembly. Introducing magnetic field in quantum simulations of electronic structure and transport. |
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Associate Professor, Klipsch School of Electrical and Computer Engineering, New Mexico State University (575) 646-3153 jecook@nmsu.edu http://www.ece.nmsu.edu/~jecook Project 4–7: Evaluating Heterogeneous High Performance Computing for Use in Field-Deployable Systems Director, NMSU Advanced Computer Architecture Performance and Simulation Laboratory. Research interests in microarchitecture simulation techniques, performance modeling and analysis, workload characterization, and microarchitectural power optimizations. |
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Willard R. and Inez Kerr Bell Professor of Computer Science and Electrical Engineering and Chairman of the Computer Science Department, (650) 725-8945 billd@csl.stanford.edu http://cva.stanford.edu/billd_webpage_new.html Project 4–1: Stream Programming for High Performance Computing Streaming supercomputer development; scalability from a single chip to thousands of chips; improving performance at least an order of magnitude per unit cost on a wide range of demanding numerical computations compared to conventional cluster-based supercomputers through combining stream processing with a high-performance network to access a globally shared memory. |
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Assistant Professor, Mechanical Engineering, Institute for Computational and Mathematical Engineering, Stanford University (650) 725-2560 darve@stanford.edu. http://me.stanford.edu/me_profile.php?sunetid=darve Projects 2–2: Micro- and Nanofluidic Devices for Sorting and Sensing BWAs and Engineering Blood Additives; Numerical method development for large-scale scientific computing. Applications in biomolecular simulations, electrodynamics, and acoustics. Numerical techniques to reduce computational expense and enable the simulation of large-scale systems over realistic time scales. Fast multipole method, molecular dynamics of proteins, integral equations for fluid flow and acoustics, computational linear algebra, and multi-scale time integrators. |
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RICHARD DEAN
Lecturer, Electrical and Computer Engineering, Morgan State University (443) 885-4746 Richard.Dean@ morgan.edu Project 3–4: Robust Wireless Communications in Complex Environments Exploring how fixed and mobile ad hoc networks can be integrated and enhanced for tactical communications. |






