Department of Mathematics
 Search | Help | Login | pdf version | printable version

Math @ Duke





.......................

.......................


Publications of Amanda Randles    :recent first  combined  bibtex listing:

Papers Published

  1. Gounley, J; Vardhan, M; Randles, A, A computational framework to assess the influence of changes in vascular geometry on blood flow, Pasc 2017 Proceedings of the Platform for Advanced Scientific Computing Conference (June, 2017), ACM Press, ISBN 9781450350624 [doi]  [abs]
  2. Gounley, J; Vardhan, M; Randles, A, A Framework for Comparing Vascular Hemodynamics at Different Points in Time., Computer Physics Communications, vol. 235 (February, 2019), pp. 1-8 [doi]  [abs]
  3. Peters Randles, A; Bächer, M; Pfister, H; Kaxiras, E, A lattice Boltzmann simulation of hemodynamics in a patient-specific aortic coarctation model, edited by Camara, O; Manso, T; Pop, M; Rhode, K; Sermesant, M; Young, A, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7746 LNCS (April, 2013), pp. 17-25, Springer Berlin Heidelberg [978-3-642-36961-2_3], [doi]  [abs]
  4. Randles, A; Kaxiras, E, A spatio-temporal coupling method to reduce the time-to-solution of cardiovascular simulations, 2008 Ieee International Symposium on Parallel and Distributed Processing (January, 2014), pp. 593-602, ISBN 9780769552071 [doi]  [abs]
  5. Jiang, K; Thorsen, O; Peters, A; Smith, B; Sosa, CP, An Efficient Parallel Implementation of the Hidden Markov Methods for Genomic Sequence-Search on a Massively Parallel System, Ieee Transactions on Parallel and Distributed Systems, vol. 19 no. 1 (January, 2008), pp. 15-23, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1045-9219 [doi]
  6. Randles, A; Draeger, E; Michor, F, Analysis of pressure gradient across aortic stenosis with massively parallel computational simulations, Computing in Cardiology, vol. 41 no. January (January, 2014), pp. 217-220, ISSN 2325-8861  [abs]
  7. Peters, A; King, A; Budnik, T; McCarthy, P; Michaud, P; Mundy, M; Sexton, J; Stewart, G, Asynchronous task dispatch for high throughput computing for the eServer IBM Blue Gene® Supercomputer, 2008 Ieee International Symposium on Parallel and Distributed Processing (April, 2008), IEEE, ISBN 9781424416936 [doi]
  8. Randles, A; Frakes, DH; Leopold, JA, Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease., Trends in Biotechnology, vol. 35 no. 11 (November, 2017), pp. 1049-1061 [doi]  [abs]
  9. Vardhan, M; Das, A; Gouruev, J; Randles, A, Computational fluid modeling to understand the role of anatomy in bifurcation lesion disease, Proceedings 25th Ieee International Conference on High Performance Computing Workshops, Hipcw 2018 (February, 2019), pp. 56-64, ISBN 9781728101149 [doi]  [abs]
  10. Gounley, J; Draeger, EW; Oppelstrup, T; Krauss, WD; Gunnels, JA; Chaudhury, R; Nair, P; Frakes, D; Leopold, JA; Randles, A, Computing the ankle-brachial index with parallel computational fluid dynamics., Journal of Biomechanics, vol. 82 (January, 2019), pp. 28-37 [doi]  [abs]
  11. Gounley, J; Chaudhury, R; Vardhan, M; Driscoll, M; Pathangey, G; Winarta, K; Ryan, J; Frakes, D; Randles, A, Does the degree of coarctation of the aorta influence wall shear stress focal heterogeneity?, Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference, vol. 2016 (August, 2016), pp. 3429-3432, ISBN 9781457702204 [doi]  [abs]
  12. Robson, B; Li, J; Dettinger, R; Peters, A; Boyer, SK, 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 (May, 2011), pp. 427-441, Springer Science and Business Media LLC, ISSN 0920-654X [doi]
  13. Randles, A; Zeger, L, Efficient Resource Allocation for Broadcasting Multi-Slot Messages With Random Access with Capture (October, 2011), IEEE [available here]
  14. Pang, Y-P; Mullins, TJ; Swartz, BA; McAllister, JS; Smith, BE; Archer, CJ; Musselman, RG; Peters, AE; Wallenfelt, BP; Pinnow, KW, 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. 1.2 (January, 2008), pp. 69-81, IBM, ISSN 0018-8646 [doi]
  15. Borkin, MA; Gajos, KZ; Peters, A; Mitsouras, D; Melchionna, S; Rybicki, FJ; Feldman, CL; Pfister, H, Evaluation of artery visualizations for heart disease diagnosis., Ieee Transactions on Visualization and Computer Graphics, vol. 17 no. 12 (December, 2011), pp. 2479-2488, ISSN 1077-2626 [doi]  [abs]
  16. Herschlag, G; Lee, S; Vetter, JS; Randles, A, GPU data access on complex geometries for D3Q19 lattice boltzmann method, Proceedings 2018 Ieee 32nd International Parallel and Distributed Processing Symposium, Ipdps 2018 (August, 2018), pp. 825-834, IEEE, ISBN 9781538643686 [doi]  [abs]
  17. Hegele, LA; Scagliarini, A; Sbragaglia, M; Mattila, KK; Philippi, PC; Puleri, DF; Gounley, J; Randles, A, High-Reynolds-number turbulent cavity flow using the lattice Boltzmann method, Physical Review. E, vol. 98 no. 4 (October, 2018), American Physical Society (APS) [doi]  [abs]
  18. Gounley, J; Draeger, EW; Randles, A, Immersed Boundary Method Halo Exchange in a Hemodynamics Application, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11536 LNCS (January, 2019), pp. 441-455, ISBN 9783030227333 [doi]  [abs]
  19. Rafat, M; Stone, HA; Auguste, DT; Dabagh, M; Randles, A; Heller, M; Rabinov, JD, Impact of diversity of morphological characteristics and Reynolds number on local hemodynamics in basilar aneurysms, Aiche Journal, vol. 64 no. 7 (July, 2018), pp. 2792-2802, WILEY [doi]  [abs]
  20. Almendro, V; Cheng, Y-K; Randles, A; Itzkovitz, S; Marusyk, A; Ametller, E; Gonzalez-Farre, X; Muñoz, M; Russnes, HG; Helland, A; Rye, IH; Borresen-Dale, A-L; Maruyama, R; van Oudenaarden, A; Dowsett, M; Jones, RL; Reis-Filho, J; Gascon, P; Gönen, M; Michor, F; Polyak, K, Inference of tumor evolution during chemotherapy by computational modeling and in situ analysis of genetic and phenotypic cellular diversity., Cell Reports, vol. 6 no. 3 (February, 2014), pp. 514-527, ISSN 2211-1247 [doi]  [abs]
  21. Whitley, HD; Scullard, CR; Benedict, LX; Castor, JI; Randles, A; Glosli, JN; Richards, DF; Desjarlais, MP; Graziani, FR, Lenard-Balescu calculations and classical molecular dynamics simulations of electrical and thermal conductivities of hydrogen plasmas, Contributions to Plasma Physics, vol. 55 no. 2-3 (January, 2015), pp. 192-202, WILEY, ISSN 0863-1042 [doi]  [abs]
  22. Kale, V; Randles, A; Gropp, WD, Locality-optimized mixed static/dynamic scheduling for improving load balancing on SMPs, Acm International Conference Proceeding Series, vol. 09-12-September-2014 (September, 2014), pp. 115-116, ACM Press, ISBN 9781450328753 [doi]  [abs]
  23. Randles, AP, Massively parallel model of evolutionary game dynamics, Proceedings 2012 Sc Companion: High Performance Computing, Networking Storage and Analysis, Scc 2012 (December, 2012), pp. 1531, IEEE [doi]  [abs]
  24. Randles, AP; Rand, DG; Lee, C; Morrisett, G; Sircar, J; Nowak, MA; Pfister, H, Massively parallel model of extended memory use in evolutionary game dynamics, Proceedings Ieee 27th International Parallel and Distributed Processing Symposium, Ipdps 2013 (October, 2013), pp. 1217-1228, IEEE, ISBN 9781467360661 [doi]  [abs]
  25. Randles, A; Draeger, EW; Oppelstrup, T; Krauss, L; Gunnels, JA, Massively parallel models of the human circulatory system, International Conference for High Performance Computing, Networking, Storage and Analysis, Sc, vol. 15-20-November-2015 (November, 2015), ACM Press, ISSN 2167-4329, ISBN 9781450337236 [citation.cfm], [doi]  [abs]
  26. Randles, A; Draeger, EW; Bailey, PE, Massively parallel simulations of hemodynamics in the primary large arteries of the human vasculature, Journal of Computational Science, vol. 9 (July, 2015), pp. 70-75, Elsevier BV, ISSN 1877-7503 [doi]  [abs]
  27. Dabagh, M; Jalali, P; Butler, PJ; Randles, A; Tarbell, JM, Mechanotransmission in endothelial cells subjected to oscillatory and multi-directional shear flow., Journal of the Royal Society, Interface, vol. 14 no. 130 (May, 2017) [doi]  [abs]
  28. You, Y; Song, SL; Fu, H; Marquez, A; Dehnavi, MM; Barker, K; Cameron, KW; Randles, AP; Yang, G, MIC-SVM: Designing a highly efficient support vector machine for advanced modern multi-core and many-core architectures, 2008 Ieee International Symposium on Parallel and Distributed Processing (January, 2014), pp. 809-818, ISSN 1530-2075, ISBN 9780769552071 [doi]  [abs]
  29. Keyes, DE; McInnes, LC; Woodward, C; Gropp, W; Myra, E; Pernice, M; Bell, J; Brown, J; Clo, A; Connors, J; Constantinescu, E; Estep, D; Evans, K; Farhat, C; Hakim, A; Hammond, G; Hansen, G; Hill, J; Isaac, T; Jiao, X; Jordan, K; Kaushik, D; Kaxiras, E; Koniges, A; Lee, K; Lott, A; Lu, Q; Magerlein, J; Maxwell, R; McCourt, M; Mehl, M; Pawlowski, R; Randles, AP; Reynolds, D; Rivière, B; Rüde, U; Scheibe, T; Shadid, J; Sheehan, B; Shephard, M; Siegel, A; Smith, B; Tang, X; Wilson, C; Wohlmuth, B, Multiphysics simulations: Challenges and opportunities, The International Journal of High Performance Computing Applications, vol. 27 no. 1 (February, 2013), pp. 4-83, SAGE Publications, ISSN 1094-3420 [doi]  [abs]
  30. Randles, A; Melchionna, S; Kaxiras, E; Latt, J; Sircar, J; Bernaschi, M; Bisson, M; Succi, S, Multiscale simulation of cardiovascular flows on the IBM Bluegene/P: full heart-circulation system at red-blood cell resolution (November, 2010), ACM IEEE
  31. Grigoryan, B; Paulsen, SJ; Corbett, DC; Sazer, DW; Fortin, CL; Zaita, AJ; Greenfield, PT; Calafat, NJ; Gounley, JP; Ta, AH; Johansson, F; Randles, A; Rosenkrantz, JE; Louis-Rosenberg, JD; Galie, PA; Stevens, KR; Miller, JS, Multivascular networks and functional intravascular topologies within biocompatible hydrogels., Science (New York, N.Y.), vol. 364 no. 6439 (May, 2019), pp. 458-464 [doi]  [abs]
  32. Gounley, J; Draeger, EW; Randles, A, Numerical simulation of a compound capsule in a constricted microchannel., Procedia Computer Science, vol. 108 (January, 2017), pp. 175-184 [doi]  [abs]
  33. Randles, A, Parallel Genomic Sequence-Search on a Massively Parallel System, edited by Thorsen, O; Jiang, K; Smith, B; Lin, H; Feng, W; Sosa, CP (May, 2007), ACM
  34. Randles, A; Kaxiras, E, Parallel in time approximation of the lattice Boltzmann method for laminar flows, Journal of Computational Physics, vol. 270 (August, 2014), pp. 577-586, Elsevier BV, ISSN 0021-9991 [doi]  [abs]
  35. Randles, AP; Kale, V; Hammond, J; Gropp, W; Kaxiras, E, Performance analysis of the lattice Boltzmann model beyond Navier-Stokes, Proceedings Ieee 27th International Parallel and Distributed Processing Symposium, Ipdps 2013 (October, 2013), pp. 1063-1074, IEEE, ISBN 9781467360661 [doi]  [abs]
  36. Lee, S; Gounley, J; Randles, A; Vetter, JS, Performance portability study for massively parallel computational fluid dynamics application on scalable heterogeneous architectures, Journal of Parallel and Distributed Computing, vol. 129 (July, 2019), pp. 1-13 [doi]  [abs]
  37. Dabagh, M; Randles, A, Role of deformable cancer cells on wall shear stress-associated-VEGF secretion by endothelium in microvasculature., Plos One, vol. 14 no. 2 (January, 2019), pp. e0211418 [doi]  [abs]
  38. You, Y; Fu, H; Song, SL; Randles, A; Kerbyson, D; Marquez, A; Yang, G; Hoisie, A, Scaling Support Vector Machines on modern HPC platforms, Journal of Parallel and Distributed Computing, vol. 76 (January, 2015), pp. 16-31, Elsevier BV, ISSN 0743-7315 [doi]  [abs]
  39. Feiger, B; Vardhan, M; Gounley, J; Mortensen, M; Nair, P; Chaudhury, R; Frakes, D; Randles, A, Suitability of lattice Boltzmann inlet and outlet boundary conditions for simulating flow in image-derived vasculature., International Journal for Numerical Methods in Biomedical Engineering, vol. 35 no. 6 (June, 2019), pp. e3198 [doi]  [abs]
  40. Vardhan, M; Gounley, J; Chen, SJ; Kahn, AM; Leopold, JA; Randles, A, The importance of side branches in modeling 3D hemodynamics from angiograms for patients with coronary artery disease., Scientific Reports, vol. 9 no. 1 (June, 2019), pp. 8854 [doi]  [abs]
  41. Laurence, TA; Ly, S; Fong, E; Shusteff, M; Randles, A; Gounley, J; Draeger, E, Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations, Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10076 (January, 2017), SPIE, ISBN 9781510605930 [doi]  [abs]

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320