Amanda Randles
- Program Years: 2010-2013
- Academic Institution: Harvard University
- Field of Study: Applied Physics
- Academic Advisor: Efthimios Kaxiras
- Practicum(s):
Lawrence Livermore National Laboratory (2011) - Degree(s):
Ph.D. Applied Physics, Harvard University, 2013
S.M. Computer Science, Harvard University, 2010
B.A. Physics and Computer Science, Duke University, 2005
Current Status
- Status: Assistant Professor of Biomedical Engineering, Duke University
- Research Area: High Performance Computing, Computational Fluid Dynamics, Biophysical Simulations
- Personal URL: https://randleslab.pratt.duke.edu/
Publications
Journal ArticlesA. Randles, E.W. Draeger, and P.E. Bailey, Massively Parallel Simulations of Hemodynamics in the Human Vasculature." Journal of Computational Science 9 (2015): 70-75.
H.D. Whitley, Ch.R. Scullard, L.X. Benedict, J.I. Castor, A. Randles, J.N. Glosli, D.F. Richards, M.P. Desjarlais, and F.R. Graziani. Lenard-Balescu Calculations and Classical Molecular Dynamics Simulations of Electrical and Thermal Conductivities of Hydrogen Plasmas." Contributions
to Plasma Physics, 2014.
A. Randles and E. Kaxiras. Parallel in Time Approximation of the Lattice Boltzmann Method for Laminar Flows." Journal of Computational Physics, Volume 270, 1 August 2014, Pages 577-586.
V. Almendro, Y.K. Chen, A. Randles, M. Gonen, S. Itzkovitz, A. Marusyk, E. Ametller, X. Gonzalez-Farre, M. Munoz, H. Russnes, A. Helland, I. Rye, A.L. Borressen-Dale, R. Maruyam, A. van Oudenaarden, M. Dowsett, R. Jones, J. Reis-Fiho, P. Gascon, F. Michor, and K. Polyak. "Inference of Tumor Evolution during Chemotherapy by Computational Modeling and In Situ Analysis of Genetic and Phenotypic Cellular Diversity". Cell Reports (2014).
David E. Keyes, Lois Curfman McInnes, Carol Woodward, William Gropp, Eric Myra, Michael Pernice, John Bell, Jed Brown, Alain Clo, Je rey Connors, Emil Constantinescu, Don Estep, Kate Evans, Charbel Farhat, Ammar Hakim, Glenn Hammond, Glen Hansen, Judith Hill, Tobin Isaac, Xiaomin Jiao, Kirk Jordan, Dinesh Kaushik, Efthimios Kaxiras, Alice Koniges, Kihwan Lee, Aaron Lott, Qiming Lu, John Magerlein, Reed Maxwell, Michael McCourt, Miriam Mehl, Roger Pawlowski, Amanda Peters Randles, Daniel Reynolds, Beatrice Riviere, Ulrich Rude, Tim Scheibe, John Shadid, Brendan Sheehan, Mark Shephard, Andrew Siegel, Barry Smith, Xianzhu Tang, Cian Wilson, and Barbara Wohlmuth. “Multiphysics Simulations: Challenges and Opportunities.” International Journal of High Performance Computing Applications, 27(1): 4-83.
M. Borkin, K. Gajos, A. Peters, D. Mitsouras, S. Melchionna, F. Rybicki, C. Feldman, and H. Pfister. “Evaluation of artery visualizations for heart disease diagnosis.” IEEE Transactions on Visualization and Computer Graphics (Proceedings of Information Visualization 2011), 17(12), December 2011.
B. Robson, J. Li, R. Dettinger, A. Peters, and S. K. Boyer, “Drug discovery using very large numbers of patents: general strategy with extensive use of match and edit operations,” Journal of computer-aided molecular design, vol. 25, no. 5, pp. 427-441, 2011.
Y.P. Pang, T. Mullins, B. Swartz, J. McAllister, B. Smith, C.J. Archer, R. Musselman, A. Peters, B. Wallenfelt, and K. Pinnow. “EUDOC on the IBM Blue Gene/L system: Accelerating the transfer of drug discoveries from laboratory to patient,” IBM Journal of Research and Development, vol. 52, no. 1, Feb. 2008.
K. Jiang, O. Thorsen, A. Peters, B. Smith, and C. P. Sosa, “An Efficient Parallel Implementation of the Hidden Markov Methods for Genomic Sequence-Search on a Massively Parallel System.” IEEE Transactions in Parallel Distributed Systems, Vol 19, no. 1, 2008.
Conference and Workshop Proceedings
A. Randles, E.W. Draeger, T. Oppelstrup, L. Krauss, and J.A. Gunnels, Massively Parallel
Models of the Human Circulatory System." Proceedings of the 2015 ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), Austin, TX. (accepted). Gordon Bell Finalist.
A. Randles, and E. Kaxiras, "A Spatio-Temporal Coupling Method to Reduce the Time-to-Solution of Cardiovascular Simulations". Proceedings of the 28th IEEE International Parallel and Distributed Processing Symposium, IPDPS14, 2014.
Y. You, S.L. Song, H. Fu, A. Marquez, G. Yang, K. Barker, K.W. Cameron, M. Mehri Dehnavi, and A. Randles, "MIC-SVM: Designing A Highly Efficient Support Vector Machine For Advanced Modern Multi-Core and Many-Core Architectures". Proceedings of the 28th IEEE International Parallel and Distributed Processing Symposium, IPDPS14, 2014.
A. Randles, E. Draeger, and F. Michor, ”Scaling the Lattice Boltzmann Method on Massively Parallel Systems.” SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP14), Portland, Oregon, February 18-February 24, 2014.
A. Peters Randles, V. Kale, J.R. Hammond, W. Gropp, and E. Kaxiras, Performance analysis of the Lattice Boltzmann model beyond Navier-Stokes, Proceedings of the 27th IEEE International Parallel and Distributed Processing Symposium, IPDPS 13, 2013. (accepted).
A. Peters Randles, D. Rand, C. Lee, G. Morrisett, M. Nowak, and H. Pfister, Massively Parallel Model of Extended Memory Use In Evolutionary Game Dynamics, Proceedings of the 27th IEEE International Parallel and Distributed Processing Symposium, IPDPS 13, 2013. (accepted).
A. Peters Randles, M. Baecher, H. Pfister, and E. Kaxiras. “A Lattice Boltzmann Simulation of Hemodynamics in a Patient-Specific Aortic Coarctation Model.” STACOM 2012 Workshop, Held in Conjunction with MICCAI 2012, LNCS vol. 7746, Springer, 2012. (in press)
A. Peters, L. Zeger, “Efficient Resource Allocation for Broadcasting Multi-Slot Messages With Random Access with Capture,” Proceedings of IEEE Military Communications Conference (MILCOM), October 2011.
A. Peters, S. Melchionna, E. Kaxiras, J. Latt, J. Sircar, M. Bernaschi, M. Bisson, and S. Succi, “Multiscale Simulation of Blood Flow in the Coronary Arteries.” SIAM CS&E Conference, Reno, Nevada, February 28-March 4, 2011.
A. Peters, S. Melchionna, J. Latt, S. Succi, and E. Kaxirasm, “Leveraging theory from cosmodynamics to study the the effect of the pulsating heart on coronary arteries in a large-scale Lattice Boltzmann simulation,” Proceedings of the 63rd annual meeting of the APS Division of Fluid Dynamics, Long Beach, CA, November 21-23, 2010.
A. Peters, S. Melchionna, E. Kaxiras, J. Latt, J. Sircar, M. Bernaschi, M. Bisson, and S. Succi, “Multiscale simulation of cardiovascular flows on the IBM Blue Gene/P: full heart-circulation system at red-blood cell resolution.” Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), New Orleans, LA. Gordon Bell Finalist.
A. Peters, D. Rand, J. Sircar, G. Morrisett, M. Nowak, and H. Pfister, “Leveraging GPUs for Evolutionary Game Theory.” GPU Technology Conference, San Jose, CA, September 20-23, 2010.
S. Melchionna, J. Latt, E. Kaxiras, A. Peters, M. Bernaschi, and S. Succi, “Endothelial Shear Stress From Large-Scale Blood Flow Simulations,” in Fifth European Conference on Computational Fluid Dynamics, 2010.
A. Peters, S. Melchionna, S. Succi, and E. Kaxiras, “Leveraging Theory From Cosmodynamics for Multi-Scale Cardiovascular Simulation,” in Fifth European Conference on Computational Fluid Dynamics ECCOMAS CFD, 2010.
A. Peters, A. King, T. Budnik, P. J. McCarthy, and P. Michaud, “Asynchronous task dispatch for high throughput computing for the eServer IBM Blue Gene®,” in IEEE International Symposium on Parallel and Distributed Computing, 2008.
O. Thorsen, K. Jiang, A. Peters, B. Smith, H. Lin, W. Feng, C. P. Sosa, “Parallel Genomic Sequence-Search on a Massively Parallel System,” ACM International Conference on Computing Frontiers, May 2007.
A. Peters. “High Throughput Computing on Blue Gene,” Paradyn / Condor Week, University of Wisconsin, Madison, Wisconsin April 30-May 3, 2007.
U.S. Patents
102 issued U.S. Patents and 112 patent applications filed with the U.S. Patent Office. These are primarily in the field of parallel computing.
Awards
ACM Gordon Bell Prize Finalist, 2015World Economic Forum Young Scientist List, 2015
Best Paper, IEEE International Conference on Computational Science (ICCS), 2015
NIH Early Independence Award, 2014
Computing in Cardiology Young Investigator Award, Honorable Mention, 2014
Best Poster, Lawrence Livermore National Laboratory Computation Poster Symposium, 2014
Lawrence Fellowship, Lawrence Livermore National Laboratory, 2013
U.S. Delegate for Heidelberg Laureate Forum, 2013
ACM IEEE-CS George Michael Memorial High Performance Computing Fellowship 2012
Google Anita Borg Memorial Scholarship Recipient 2012
U.S. Delegate for Nobel Laureates and Students Meeting in Lindau, Germany 2012
NSF Grant to attend PASI: Scientific Computing in the Americas: The Challenge of Massive Parallelism 2011
ACM IEEE-CS George Michael Memorial High Performance Computing Fellowship 2010
Gordon Bell finalist at Supercomputing 2010
DOE Computational Science Graduate Fellowship 2010
ACM IEEE-CS George Michael Memorial High Performance Computing Fellowship 2009 Honorable Mention
National Science Foundation Graduate Fellowship 2009 (deferred)
Grace Hopper Scholarship 2008
IBM Early Tenure Innovator 2008
Duke University Dean’s List 2005
Duke University Addy Fellowship 2005
Duke University Startup Challenge Finalist 2005
Sigma Pi Sigma Honors Society 2002