Publications

Rafat, M., Stone, H. A., Auguste, D. T., Dabagh, M., Randles, A., Heller, M., & Rabinov, J. D. (2018). Impact of diversity of morphological characteristics and Reynolds number on local hemodynamics in basilar aneurysms. Aiche Journal, 64(7), 2792–2802. https://doi.org/10.1002/aic.16091

Randles, A., Frakes, D. H., & Leopold, J. A. (2017). Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease. Trends in Biotechnology, 35(11), 1049–1061. https://doi.org/10.1016/j.tibtech.2017.08.008

Gounley, J., Vardhan, M., & Randles, A. (2017). A computational framework to assess the influence of changes in vascular geometry on blood flow. In Pasc 2017 Proceedings of the Platform for Advanced Scientific Computing Conference. https://doi.org/10.1145/3093172.3093227

Dabagh, M., Jalali, P., Butler, P. J., Randles, A., & Tarbell, J. M. (2017). Mechanotransmission in endothelial cells subjected to oscillatory and multi-directional shear flow. Journal of the Royal Society, Interface, 14(130), 20170185. https://doi.org/10.1098/rsif.2017.0185

Laurence, T. A., Ly, S., Fong, E., Shusteff, M., Randles, A., Gounley, J., & Draeger, E. (2017). Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations. In Progress in Biomedical Optics and Imaging Proceedings of SPIE (Vol. 10076). https://doi.org/10.1117/12.2253319

Gounley, J., Draeger, E. W., & Randles, A. (2017). Numerical simulation of a compound capsule in a constricted microchannel. In Procedia computer science (Vol. 108, pp. 175–184). https://doi.org/10.1016/j.procs.2017.05.209

Gounley, J., Chaudhury, R., Vardhan, M., Driscoll, M., Pathangey, G., Winarta, K., … Randles, A. (2016). Does the degree of coarctation of the aorta influence wall shear stress focal heterogeneity? (pp. 3429–3432). Presented at the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL: IEEE.

Paternoster, L., Standl, M., Waage, J., Baurecht, H., Hotze, M., Strachan, D. P., … Weidinger, S. (2015). Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis. Nature Genetics, 47(12), 1449–1456. https://doi.org/10.1038/ng.3424

Randles, A., Draeger, E. W., Oppelstrup, T., Krauss, L., & Gunnels, J. (2015). Massively Parallel Models of the Human Circulatory System. In http://dl.acm.org/citation.cfm?id=2807676. Austin, TX: ACM. https://doi.org/10.1145/2807591.2807676

Randles, A., Draeger, E. W., & Bailey, P. E. (2015). Massively parallel simulations of hemodynamics in the primary large arteries of the human vasculature. Journal of Computational Science, 9, 70–75. https://doi.org/10.1016/j.jocs.2015.04.003

Whitley, H. D., Scullard, C. R., Benedict, L. X., Castor, J. I., Randles, A., Glosli, J. N., … Graziani, F. R. (2015). Lenard-Balescu calculations and classical molecular dynamics simulations of electrical and thermal conductivities of hydrogen plasmas. Contributions to Plasma Physics, 55(2–3), 192–202. https://doi.org/10.1002/ctpp.201400066

You, Y., Fu, H., Song, S. L., Randles, A., Kerbyson, D., Marquez, A., … Hoisie, A. (2015). Scaling Support Vector Machines on modern HPC platforms. Journal of Parallel and Distributed Computing, 76, 16–31. https://doi.org/10.1016/j.jpdc.2014.09.005

Randles, A., Draeger, E. W., & Michor, F. (2014). Analysis of pressure gradient across aortic stenosis with massively parallel computational simulations. In http://ieeexplore.ieee.org/document/7043018/. Cambridge, MA.

Kale, V., Randles, A., & Gropp, W. D. (2014). Locality-optimized mixed static/dynamic scheduling for improving load balancing on SMPs. In ACM International Conference Proceeding Series (Vol. 09-12-September-2014, pp. 115–116). https://doi.org/10.1145/2642769.2642788

Randles, A., & Kaxiras, E. (2014). Parallel in time approximation of the lattice Boltzmann method for laminar flows. Journal of Computational Physics, 270, 577–586. https://doi.org/10.1016/j.jcp.2014.04.006

Randles, A., Kale, V., Hammond, J. R., Gropp, W., & Kaxiras, E. (2014). Performance analysis of the lattice Boltzmann model beyond Navier-Stokes. Presented at the IEEE International Parallel and Distributed Processing Symposium, IEEE.

Randles, A., Rand, D., Lee, C., Morrisett, G., & Pfister, H. (2014). Massively Parallel Model of Extended Memory Use In Evolutionary Game Dynamics. Presented at the IEEE International Parallel and Distributed Processing Symposium, Boston, MA: IEEE.

Almendro, V., Cheng, Y.-K., Randles, A., Itzkovitz, S., Marusyk, A., Ametller, E., … Polyak, K. (2014). Inference of tumor evolution during chemotherapy by computational modeling and in situ analysis of genetic and phenotypic cellular diversity. Cell Reports, 6(3), 514–527. https://doi.org/10.1016/j.celrep.2013.12.041

Randles, A. (2014). MIC-SVM: Designing A Highly Efficient Support Vector Machine for Advanced Modern Multi-Core and Many-Core Architectures. In http://ieeexplore.ieee.org/abstract/document/6877312/. https://doi.org/10.1109/IPDPS.2014.88

Randles, A., Draeger, E., & Michor, F. (2014). Analysis of pressure gradient across aortic stenosis with massively parallel computational simulations. Computing in Cardiology, 41(January), 217–220.

Randles, A., & Kaxiras, E. (2014). A spatio-temporal coupling method to reduce the time-to-solution of cardiovascular simulations. Proceedings of the International Parallel and Distributed Processing Symposium IPDPS. https://doi.org/10.1109/IPDPS.2014.68

Keyes, D. E., McInnes, L. C., Woodward, C., Gropp, W., Myra, E., Pernice, M., … Wohlmuth, B. (2013). Multiphysics simulations: Challenges and opportunities. International Journal of High Performance Computing Applications, 27(1), 4–83. https://doi.org/10.1177/1094342012468181

Randles, A. P. (2012). Massively parallel model of evolutionary game dynamics. Proceedings 2012 Sc Companion High Performance Computing Networking Storage and Analysis Scc 2012, 1531. https://doi.org/10.1109/SC.Companion.2012.307

Keyes, D., McInnes, L. C., Woodward, C., Gropp, W., Myra, E., Pernice, M., … (Idaho National Lab.). (2012). Multiphysics simulations: challenges and opportunities. Office of Scientific and Technical Information (OSTI). https://doi.org/10.2172/1034263

Randles, A., Baecher, M., Pfister, H., & Kaxiras, E. K. (2012). A Lattice Boltzmann Simulation of Hemodynamics in a Patient-Speci c Aortic Coarctation Model. Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges:, 7746, 17–25. https://doi.org/10.1007/978-3-642-36961-2_3