Publications of Amanda Randles    :chronological  alphabetical  combined  bibtex listing:

Books

1. Vardhan, M; Shi, H; Gounley, J; Chen, SJ; Kahn, A; Leopold, J; Randles, A, Correction to: Investigating the Role of VR in a Simulation-Based Medical Planning System for Coronary Interventions (Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, LNCS 11768, 10.1007/978-3-030-32254-0_41), vol. 11768 LNCS (January, 2019), pp. C1, ISBN 9783030322533 [doi]  [abs]

Papers Published

1. Chidyagwai, SG; Kaplan, MS; Jensen, CW; Chen, JS; Chamberlain, RC; Hill, KD; Barker, PCA; Slesnick, TC; Randles, A, Surgical Modulation of Pulmonary Artery Shear Stress: A Patient-Specific CFD Analysis of the Norwood Procedure., Cardiovasc Eng Technol (March, 2024) [doi]  [abs]
2. Nan, J; Roychowdhury, S; Randles, A, Investigating the Influence of Heterogeneity Within Cell Types on Microvessel Network Transport., Cellular and molecular bioengineering, vol. 16 no. 5-6 (December, 2023), pp. 497-507 [doi]  [abs]
3. Martin, A; Liu, G; Ladd, W; Lee, S; Gounley, J; Vetter, J; Patel, S; Rizzi, S; Mateevitsi, V; Insley, J; Randles, A, Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations, ACM International Conference Proceeding Series (November, 2023), pp. 1126-1137, ACM, ISBN 9798400707858 [doi]  [abs]
4. Valero-Lara, P; Vetter, J; Gounley, J; Randles, A, Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs, ACM International Conference Proceeding Series (November, 2023), pp. 1697-1704, ACM, ISBN 9798400707858 [doi]  [abs]
5. Tanade, C; Rakestraw, E; Ladd, W; Draeger, E; Randles, A, Cloud Computing to Enable Wearable-Driven Longitudinal Hemodynamic Maps, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023 (November, 2023), ACM, ISBN 9798400701092 [doi]  [abs]
6. Roychowdhury, S; Balogh, P; Mahmud, ST; Puleri, DF; Martin, A; Gounley, J; Draeger, EW; Randles, A, Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts., International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing), vol. 2023 (November, 2023), pp. 41, ACM, ISBN 9798400701092 [doi]  [abs]
7. Feiger, B; Jensen, CW; Bryner, BS; Segars, WP; Randles, A, Modeling the effect of patient size on cerebral perfusion during veno-arterial extracorporeal membrane oxygenation., Perfusion (July, 2023), pp. 2676591231187962 [doi]  [abs]
8. Roychowdhury, S; Draeger, EW; Randles, A, Establishing metrics to quantify spatial similarity in spherical and red blood cell distributions, Journal of Computational Science, vol. 71 (July, 2023) [doi]  [abs]
9. Tanade, C; Putney, S; Randles, A, Establishing massively parallel models to examine the influence of cell heterogeneity on tumor growth, Journal of Computational Science, vol. 71 (July, 2023) [doi]  [abs]
10. Shi, H; Vardhan, M; Randles, A, The Role of Immersion for Improving Extended Reality Analysis of Personalized Flow Simulations., Cardiovascular engineering and technology, vol. 14 no. 2 (April, 2023), pp. 194-203 [doi]  [abs]
11. Pepona, M; Gounley, J; Randles, A, Effect of constitutive law on the erythrocyte membrane response to large strains., Computers & mathematics with applications (Oxford, England : 1987), vol. 132 (February, 2023), pp. 145-160 [doi]  [abs]
12. Ladd, W; Jensen, C; Vardhan, M; Ames, J; Hammond, JR; Draeger, EW; Randles, A, Optimizing Cloud Computing Resource Usage for Hemodynamic Simulation, Proceedings - 2023 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2023 (January, 2023), pp. 568-578, ISBN 9798350337662 [doi]  [abs]
13. Puleri, DF; Martin, AX; Randles, A, Distributed Acceleration of Adhesive Dynamics Simulations., Proceedings of 2022 29th European MPI Users' Group Meeting (EuroMPI/USA'2022) : September 26-28, 2022, Chattanooga, TN. European MPI Users' Group Meeting (29th : 2022 : Chattanooga, Tenn.), vol. 2022 (September, 2022), pp. 37-45, ISBN 9781450397995 [doi]  [abs]
14. Puleri, DF; Roychowdhury, S; Balogh, P; Gounley, J; Draeger, EW; Ames, J; Adebiyi, A; Chidyagwai, S; Hernández, B; Lee, S; Moore, SV; Vetter, JS; Randles, A, High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory., Proceedings. IEEE International Conference on Cluster Computing, vol. 2022 (September, 2022), pp. 230-242, ISBN 9781665498562 [doi]  [abs]
15. Puleri, DF; Randles, A, The role of adhesive receptor patterns on cell transport in complex microvessels., Biomechanics and modeling in mechanobiology, vol. 21 no. 4 (August, 2022), pp. 1079-1098 [doi]  [abs]
16. Gounley, J; Vardhan, M; Draeger, EW; Valero-Lara, P; Moore, SV; Randles, A, Propagation pattern for moment representation of the lattice Boltzmann method., IEEE transactions on parallel and distributed systems : a publication of the IEEE Computer Society, vol. 33 no. 3 (March, 2022), pp. 642-653 [doi]  [abs]
17. Chidyagwai, SG; Vardhan, M; Kaplan, M; Chamberlain, R; Barker, P; Randles, A, Characterization of hemodynamics in anomalous aortic origin of coronary arteries using patient-specific modeling., J Biomech, vol. 132 (February, 2022), pp. 110919 [doi]  [abs]
18. Feiger, B; Lorenzana-Saldivar, E; Cooke, C; Horstmeyer, R; Bishawi, M; Doberne, J; Hughes, GC; Ranney, D; Voigt, S; Randles, A, Evaluation of U-Net Based Architectures for Automatic Aortic Dissection Segmentation, ACM Transactions on Computing for Healthcare, vol. 3 no. 1 (January, 2022) [doi]  [abs]
19. Tanade, C; Chen, SJ; Leopold, JA; Randles, A, Analysis identifying minimal governing parameters for clinically accurate in silico fractional flow reserve., Frontiers in medical technology, vol. 4 (January, 2022), pp. 1034801 [doi]  [abs]
20. Roychowdhury, S; Mahmud, ST; Puleri, DF; Lai, A; Rex, R; Li, B; Sohn, LL; Randles, A, DEVELOPING A DIGITAL TWIN FOR SINGLE-CELL MECHANICAL PHENOTYPING MICROFLUIDIC DEVICES, MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences (January, 2022), pp. 831-832, ISBN 9781733419048  [abs]
21. Bishawi, M; Kaplan, M; Chidyagwai, S; Cappiello, J; Cherry, A; MacLeod, D; Gall, K; Evans, N; Kim, M; Shaha, R; Whittle, J; Hollidge, M; Truskey, G; Randles, A, Patient- and Ventilator-Specific Modeling to Drive the Use and Development of 3D Printed Devices for Rapid Ventilator Splitting During the COVID-19 Pandemic, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13352 LNCS (January, 2022), pp. 137-149, ISBN 9783031087561 [doi]  [abs]
22. Tanade, C; Putney, S; Randles, A, Developing a Scalable Cellular Automaton Model of 3D Tumor Growth, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13350 LNCS (January, 2022), pp. 3-16, ISBN 9783031087509 [doi]  [abs]
23. Roychowdhury, S; Draeger, EW; Randles, A, Establishing Metrics to Quantify Underlying Structure in Vascular Red Blood Cell Distributions, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13350 LNCS (January, 2022), pp. 89-102, ISBN 9783031087509 [doi]  [abs]
24. Vardhan, M; Shi, H; Urick, D; Patel, M; Leopold, JA; Randles, A, The role of extended reality for planning coronary artery bypass graft surgery, Proceedings - 2022 IEEE Visualization Conference - Short Papers, VIS 2022 (January, 2022), pp. 115-119, ISBN 9781665488129 [doi]  [abs]
25. Bazarin, RLM; Philippi, PC; Randles, A; Hegele, LA, Moments-based method for boundary conditions in the lattice Boltzmann framework: A comparative analysis for the lid driven cavity flow, Computers and Fluids, vol. 230 (November, 2021) [doi]  [abs]
26. Liu, X; Vardhan, M; Wen, Q; Das, A; Randles, A; Chi, EC, An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions., Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2021 (November, 2021), pp. 4432-4435 [doi]  [abs]
27. Tanade, C; Feiger, B; Vardhan, M; Chen, SJ; Leopold, JA; Randles, A, Global Sensitivity Analysis For Clinically Validated 1D Models of Fractional Flow Reserve., Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2021 (November, 2021), pp. 4395-4398 [doi]  [abs]
28. Herschlag, G; Lee, S; Vetter, JS; Randles, A, Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm, IEEE Transactions on Parallel and Distributed Systems, vol. 32 no. 10 (October, 2021), pp. 2400-2414 [doi]  [abs]
29. Puleri, DF; Balogh, P; Randles, A, Computational models of cancer cell transport through the microcirculation., Biomechanics and modeling in mechanobiology, vol. 20 no. 4 (August, 2021), pp. 1209-1230 [doi]  [abs]
30. Balogh, P; Gounley, J; Roychowdhury, S; Randles, A, A data-driven approach to modeling cancer cell mechanics during microcirculatory transport., Scientific reports, vol. 11 no. 1 (July, 2021), pp. 15232 [doi]  [abs]
31. Randles, A; Wirsching, H-G; Dean, JA; Cheng, Y-K; Emerson, S; Pattwell, SS; Holland, EC; Michor, F, Computational modelling of perivascular-niche dynamics for the optimization of treatment schedules for glioblastoma., Nature biomedical engineering, vol. 5 no. 4 (April, 2021), pp. 346-359 [doi]  [abs]
32. Vardhan, M; Gounley, J; Chen, SJ; Chi, EC; Kahn, AM; Leopold, JA; Randles, A, Non-invasive characterization of complex coronary lesions., Scientific reports, vol. 11 no. 1 (April, 2021), pp. 8145 [doi]  [abs]
33. Vardhan, M; Randles, A, Application of physics-based flow models in cardiovascular medicine: Current practices and challenges., Biophysics reviews, vol. 2 no. 1 (March, 2021), pp. 011302 [doi]  [abs]
34. Feiger, B; Adebiyi, A; Randles, A, Multiscale modeling of blood flow to assess neurological complications in patients supported by venoarterial extracorporeal membrane oxygenation., Computers in biology and medicine, vol. 129 (February, 2021), pp. 104155 [doi]  [abs]
35. Feiger, B; Lorenzana, E; Ranney, D; Bishawi, M; Doberne, J; Vekstein, A; Voigt, S; Hughes, C; Randles, A, Predicting aneurysmal degeneration of type B aortic dissection with computational fluid dynamics, Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021 (January, 2021), ISBN 9781450384506 [doi]  [abs]
36. Bardhan, J; Leung, MA; Martin, E; Randles, A, DOE Computational Science Graduate Fellowship Research Showcase, Computing in Science and Engineering, vol. 23 no. 6 (January, 2021), pp. 5-8 [doi]
37. Kaplan, M; Kneifel, C; Orlikowski, V; Dorff, J; Newton, M; Howard, A; Shinn, D; Bishawi, M; Chidyagwai, S; Balogh, P; Randles, A, Cloud Computing for COVID-19: Lessons Learned From Massively Parallel Models of Ventilator Splitting., Computing in science & engineering, vol. 22 no. 6 (November, 2020), pp. 37-47 [doi]  [abs]
38. Pepona, M; Balogh, P; Puleri, DF; Hynes, WF; Robertson, C; Dubbin, K; Alvarado, J; Moya, ML; Randles, A, Investigating the Interaction Between Circulating Tumor Cells and Local Hydrodynamics via Experiment and Simulations., Cellular and molecular bioengineering, vol. 13 no. 5 (October, 2020), pp. 527-540 [doi]  [abs]
39. Jang, LK; Alvarado, JA; Pepona, M; Wasson, EM; Nash, LD; Ortega, JM; Randles, A; Maitland, DJ; Moya, ML; Hynes, WF, Three-dimensional bioprinting of aneurysm-bearing tissue structure for endovascular deployment of embolization coils., Biofabrication, vol. 13 no. 1 (October, 2020) [doi]  [abs]
40. Bishawi, M; Kaplan, M; Chidyagwai, S; Cappiello, J; Cherry, A; MacLeod, D; Gall, K; Evans, N; Kim, M; Shaha, R; Whittle, J; Hollidge, M; Truskey, G; Randles, A, Rapid Ventilator Splitting During COVID-19 Pandemic Using 3D Printed Devices and Numerical Modeling of 200 Million Patient Specific Air Flow Scenarios., Res Sq (August, 2020) [doi]  [abs]
41. Hynes, WF; Pepona, M; Robertson, C; Alvarado, J; Dubbin, K; Triplett, M; Adorno, JJ; Randles, A; Moya, ML, Examining metastatic behavior within 3D bioprinted vasculature for the validation of a 3D computational flow model., Science advances, vol. 6 no. 35 (August, 2020), pp. eabb3308 [doi]  [abs]
42. Cherian, J; Dabagh, M; Srinivasan, VM; Chen, S; Johnson, J; Wakhloo, A; Gupta, V; Macho, J; Randles, A; Kan, P, Balloon-Mounted Stents for Treatment of Refractory Flow Diverting Device Wall Malapposition., Operative neurosurgery (Hagerstown, Md.), vol. 19 no. 1 (July, 2020), pp. 37-42 [doi]  [abs]
43. Ames, J; Puleri, DF; Balogh, P; Gounley, J; Draeger, EW; Randles, A, Multi-GPU Immersed Boundary Method Hemodynamics Simulations., Journal of computational science, vol. 44 (July, 2020), pp. 101153 [doi]  [abs]
44. Puleri, DF; Roychowdhury, S; Ames, J; Randles, A, Computational Framework to Evaluate the Hydrodynamics of Cell Scaffold Geometries., Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2020 (July, 2020), pp. 2299-2302, ISBN 9781728119908 [doi]  [abs]
45. Roychowdhury, S; Gounley, J; Randles, A, Evaluating the Influence of Hemorheological Parameters on Circulating Tumor Cell Trajectory and Simulation Time, Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2020 (June, 2020), ISBN 9781450379939 [doi]  [abs]
46. Feiger, B; Gounley, J; Adler, D; Leopold, JA; Draeger, EW; Chaudhury, R; Ryan, J; Pathangey, G; Winarta, K; Frakes, D; Michor, F; Randles, A, Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks., Scientific reports, vol. 10 no. 1 (June, 2020), pp. 9508 [doi]  [abs]
47. Feiger, B; Kochar, A; Gounley, J; Bonadonna, D; Daneshmand, M; Randles, A, Determining the impacts of venoarterial extracorporeal membrane oxygenation on cerebral oxygenation using a one-dimensional blood flow simulator., Journal of biomechanics, vol. 104 (May, 2020), pp. 109707 [doi]  [abs]
48. Shi, H; Ames, J; Randles, A, Harvis: an interactive virtual reality tool for hemodynamic modification and simulation, Journal of Computational Science, vol. 43 (May, 2020) [doi]  [abs]
49. Dabagh, M; Gounley, J; Randles, A, Localization of Rolling and Firm-Adhesive Interactions Between Circulating Tumor Cells and the Microvasculature Wall., Cellular and molecular bioengineering, vol. 13 no. 2 (April, 2020), pp. 141-154 [doi]  [abs]
50. Vardhan, M; Gounley, J; Hegele, L; Draeger, EW; Randles, A, Moment representation in the lattice Boltzmann method on massively parallel hardware, International Conference for High Performance Computing, Networking, Storage and Analysis, SC (November, 2019), ISBN 9781450362290 [doi]  [abs]
51. Ames, J; Rizzi, S; Insley, J; Patel, S; Hernández, B; Draeger, EW; Randles, A, Low-Overhead in Situ Visualization Using Halo Replay, 2019 IEEE 9th Symposium on Large Data Analysis and Visualization, LDAV 2019 (October, 2019), pp. 16-26, ISBN 9781728126050 [doi]  [abs]
52. Herschlag, G; Gounley, J; Roychowdhury, S; Draeger, EW; Randles, A, Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm, Proceedings - IEEE International Conference on Cluster Computing, ICCC, vol. 2019-September (September, 2019), ISBN 9781728147345 [doi]  [abs]
53. Chen, K; Breitner, S; Wolf, K; Rai, M; Meisinger, C; Heier, M; Kuch, B; Peters, A; Schneider, A, Projection of Temperature-Related Myocardial Infarction in Augsburg, Germany: Moving on From the Paris Agreement on Climate Change., Deutsches Arzteblatt international, vol. 116 no. 31-32 (August, 2019), pp. 521-527 [doi]  [abs]
54. 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]
55. Dabagh, M; Nair, P; Gounley, J; Frakes, D; Gonzalez, LF; Randles, A, Hemodynamic and morphological characteristics of a growing cerebral aneurysm., Neurosurg Focus, vol. 47 no. 1 (July, 2019), pp. E13 [doi]  [abs]
56. 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]
57. 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]
58. 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]
59. Chen, K; Breitner, S; Wolf, K; Hampel, R; Meisinger, C; Heier, M; von Scheidt, W; Kuch, B; Peters, A; Schneider, A; KORA Study Group, , Temporal variations in the triggering of myocardial infarction by air temperature in Augsburg, Germany, 1987-2014., European heart journal, vol. 40 no. 20 (May, 2019), pp. 1600-1608 [doi]  [abs]
60. 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]
61. 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]
62. 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]
63. 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]
64. 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]
65. 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]
66. 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 (July, 2018), pp. 56-64, ISBN 9781728101149 [doi]  [abs]
67. 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]
68. 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]
69. 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]
70. 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), pp. 20170185 [doi]  [abs]
71. 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]
72. 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]
73. 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?, vol. 2016 no. 2016 (August, 2016), pp. 3429-3432, IEEE, ISBN 9781457702204 [doi]  [abs]
74. Randles, A; Draeger, EW; Oppelstrup, T; Krauss, L; Gunnels, J, Massively Parallel Models of the Human Circulatory System, http://dl.acm.org/citation.cfm?id=2807676, vol. 15-20-November-2015 (November, 2015), ACM, ISSN 2167-4329, ISBN 978-1-4503-3723-6 [citation.cfm], [doi]  [abs]
75. 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]
76. 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 (February, 2015), pp. 192-202, WILEY, ISSN 0863-1042 [doi]  [abs]
77. 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]
78. 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]
79. 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]
80. Randles, A; Rand, D; Lee, C; Morrisett, G; Pfister, H, Massively Parallel Model of Extended Memory Use In Evolutionary Game Dynamics (May, 2014), pp. 1217-1228, IEEE, ISBN 9781467360661 [doi]  [abs]
81. 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]
82. 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]
83. Randles, A; Kaxiras, EK, A Spatio-Temporal Coupling Method to Reduce the Time-to-Solution of Cardiovascular Simulations, http://ieeexplore.ieee.org/abstract/document/6877292/ (January, 2014), pp. 593-602, ISBN 978-1-4799-3801-8 [doi]  [abs]
84. Randles, A, MIC-SVM: Designing A Highly Efficient Support Vector Machine for Advanced Modern Multi-Core and Many-Core Architectures, http://ieeexplore.ieee.org/abstract/document/6877312/ (January, 2014), pp. 809-818, ISSN 1530-2075, ISBN 9780769552071 [doi]  [abs]
85. Randles, A; Kale, V; Hammond, JR; Gropp, W; Kaxiras, E, Performance analysis of the lattice Boltzmann model beyond Navier-Stokes (October, 2013), pp. 1063-1074, IEEE, ISBN 9781467360661 [doi]  [abs]
86. 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, International Journal of High Performance Computing Applications, vol. 27 no. 1 (February, 2013), pp. 4-83, SAGE Publications, ISSN 1094-3420 [doi]  [abs]
87. 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]
88. Randles, A; Baecher, M; Pfister, H; Kaxiras, EK, A Lattice Boltzmann Simulation of Hemodynamics in a Patient-Speci c Aortic Coarctation Model, edited by Camara, O; Pop, M; Mansi, T; Sermesant, M; Young, A, Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges:, vol. 7746 (October, 2012), pp. 17-25, Springer Berlin Heidelberg [978-3-642-36961-2_3], [doi]  [abs]
89. 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]
90. Peters, A; Zeger, L, Efficient methods for broadcasting multi-slot messages with random access with capture, 2011 - MILCOM 2011 Military Communications Conference (November, 2011), IEEE [doi]
91. Randles, A; Zeger, L, Efficient Resource Allocation for Broadcasting Multi-Slot Messages With Random Access with Capture (October, 2011), IEEE [available here]
92. 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]  [abs]
93. 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
94. 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]
95. 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]
96. 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
97. Pang, Y-P; Swartz, B; Smith, B; Mullins, T; Peters, A; Musselman, R, Poster reception---Optimizing EUDOC for the IBM eServer Blue Gene supercomputer, Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06 (2006), ACM Press [doi]