Publications

See https://ewbethel.github.io/publications/ for a more up to date list of publications. That URL will eventually supplant the list below.


2024

Balewski, J., Amankwah, M. G., Beeumen, R. V., Bethel, E. W., Perciano, T., & Camps, D. Quantum-parallel vectorized data encodings and computations on trapped-ions and transmons QPUs. Nature Scientific Reports, 14(1), 2024. https://doi.org/10.1038/s41598-024-53720-x, (arXiv preprint) https://arxiv.org/abs/2301.07841 

2023

Bethel, E. W., Amankwah, M. G., Balewski, J., Beeumen, R. V., Camps, D., Huang, D., & Perciano, T. (2023). Quantum Computing and Visualization: A Disruptive Technological Change Ahead. IEEE Computer Graphics and Applications, 43(6). https://doi.org/10.1109/MCG.2023.3316932

Loring, B., Bethel, E. W., Weber, G, and Maloney, M. W. Extensions to the SENSEI In situ Framework for Heterogeneous Architectures. ISAV 2023: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 868–874. Nov, 2023. https://doi.org/10.1145/3624062.3624161, https://arxiv.org/abs/2310.02926

Wallace, G. M., Wright, J. C., Arias, E. J., Bethel, E. W., Bai, Z., Perciano, T., Bertelli, N., Sánchez-Villar, Á., & Shiraiwa, S. (2023, October). Predicting Radio Frequency Heating And Current Drive Pro- files With Fast Surrogate Models Powered By Machine Learning. 29th IAEA Fusion Energy Conference (FEC 2023)

Kulkarni, S., Loring, B., & Bethel, E. W. Towards a Scalable In Situ Fast Fourier Transform. ISAV 2023: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, a SC23 Workshop. arXiv: https://arxiv.org/abs/2402.01843. Nov, 2023. 

Sánchez-Villar, Á., Bertelli, N., Shiraiwa, S., Bai, Z., Perciano, T., Hillairet, J., Bethel, E. W., Wallace, G., & Wright, J. C. (2023, November). Development of surrogate models for the TORIC IRCF spectrum solver using ML algorithms. 65th Annual Meeting of the APS Division of Plasma Physics. Abstract: NP11.00048.

Sánchez-Villar, Á., Bai, Z., Bertelli, N., Bethel, E. W., Hillairet, J., Perciano, T., Shiraiwa, S., Wallace, G., & Wright, J. C. (2023, November). Methodology for surrogate modeling implementation: application to the ICRF wave absorption forward problem. 65th Annual Meeting of the APS Division of Plasma Physics. Abstract: BO05.00015.

Balewski, J., Amankwah, M. G., Beeumen, R. V., Bethel, E. W., Perciano, T., & Camps, D. (2023). Quantum-parallel vectorized data encodings and computations on trapped-ions and transmons QPUs. Nature Scientific Reports. In review. https://arxiv.org/abs/2301.07841

2022

G.M. Wallace, Z. Bai, R. Sadre, T. Perciano, N. Bertelli, S. Shiraiwa, E.W. Bethel, and J.C. Wright. Towards fast and accurate predictions of radio frequency power deposition and current profile via data-driven modelling: applications to lower hybrid current drive. Journal of Plasma Physics, 88(4):895880401, 2022. (bibtex) https://www.doi.org/10.1017/S0022377822000708.

E. Wes Bethel, Burlen Loring, Utkarsh Ayatchit, David Camp, Earl P. N. Duque, Nicola Ferrier, Joseph Insley, Junmin Gu, James Kress, Patrick O’Leary, David Pugmire, Silvio Rizzi, David Thompson, Gunther H. Weber, Brad Whitlock, Matthew Wolf, and Kesheng Wu. The SENSEI Generic In Situ Interface: Tool and Processing Portability at Scale. In Hank Childs, Janine Bennett, and Christoph Garth, editors, In Situ Visualization for Computational Science. Springer, 2022. (bibtex) https://doi.org/10.1007/978-3-030-81627-8

E. Wes Bethel, Burlen Loring, Utkarsh Ayatchit, David Camp, Earl P. N. Duque, Nicola Ferrier, Joseph Insley, Junmin Gu, James Kress, Patrick O’Leary, David Pugmire, Silvio Rizzi, David Thompson, Gunther Weber, Brad Whitlock, Matthew Wolf, and Kesheng Wu. Proximity Portability and In Transit, M-to-N Data Partitioning and Movement in SENSEI. In Hank Childs, Janine Bennett, and Christoph Garth, editors, In Situ Visualization for Computational Science. Springer, 2022. (bibtex) https://doi.org/10.1007/978-3-030-81627-8.

M. G. Amankwah, D. Camps, E. W. Bethel, R. Van Beeumen, and T. Perciano, “Quantum pixel representations and compression for N-dimensional images,” Scientific Reports, vol. 12, no. 1, p. 7712, May 2022. (bibtex) (https://doi.org/10.1038/s41598-022-11024-y) 

S. Zhang, R. Sadre, B. A. Legg, H. Pyles, T. Perciano, E. W. Bethel, D. Baker, O. Rübel, and J. J. D. Yoreo, “Rotational dynamics and transition mechanisms of surface-adsorbed proteins,” Proceedings of the National Academy of Sciences, vol. 119, no. 16, p. e2020242119, Apr. 2022. (bibtex) (https://doi.org/10.1073/pnas.2020242119)

P.-T. Bremer, G. Tourassi, W. Bethel, K. Gaither, V. Pascucci, and W. Xu, “Visualization for Scientific Discovery, Decision-Making, and Communication,” in Summary Report from the ASCR Workshop on Visualization for Scientific Discovery, Decision-Making, and Communication, United States, Jan. 2022. (bibtex) (https://www.osti.gov/biblio/1845708)

Peer-Temo Bremer, Georgia Tourassi, Wes Bethel, Kelly Gaither, Valerio Pascucci, and Wei Xu. Position papers for the ASCR workshop on visualization for scientific discovery, decision-making, and communication. United States, January 2022. https://www.osti.gov/biblio/1843572/.

2021

E. W. Bethel, C. Heinemann, and T. Perciano, “Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel,” in Eurographics Symposium on Parallel Graphics and Visualization, Zürich, Switzerland, Jun. 2021. (bibtex) (https://diglib.eg.org/handle/10.2312/pgv20211043) (https://escholarship.org/uc/item/22q2t9cg)

2020

H. Childs, S. D. Ahern, J. Ahrens, A. C. Bauer, J. Bennett, E. W. Bethel, P.-T. Bremer, E. Brugger, J. Cottam, M. Dorier, S. Dutta, J. M. Favre, T. Fogal, S. Frey, C. Garth, B. Geveci, W. F. Godoy, C. D. Hansen, C. Harrison, B. Hentschel, J. Insley, C. R. Johnson, S. Klasky, A. Knoll, J. Kress, M. Larsen, J. Lofstead, K.-L. Ma, P. Malakar, J. Meredith, K. Moreland, P. Navrátil, P. O’Leary, M. Parashar, V. Pascucci, J. Patchett, T. Peterka, S. Petruzza, N. Podhorszki, D. Pugmire, M. Rasquin, S. Rizzi, D. H. Rogers, S. Sane, F. Sauer, R. Sisneros, H.-W. Shen, W. Usher, R. Vickery, V. Vishwanath, I. Wald, R. Wang, G. H. Weber, B. Whitlock, M. Wolf, H. Yu, and S. B. Ziegeler, “A Terminology for In Situ Visualization and Analysis Systems,” International Journal of High Performance Computing Applications, vol. 34, no. 6, pp. 676–691, Nov. 2020. (bibtex) (https://doi.org/10.1177/1094342020935991) (https://escholarship.org/uc/item/20q1s49z)

E. W. Bethel, D. Camp, T. Perciano, and C. Heinemann, “Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels,” Lawrence Berkeley National Laboratory, Berkeley, CA, USA, 94720, LBNL-2001365, Oct. 2020. (bibtex) (https://escholarship.org/uc/item/3v87w9mt)

T. Perciano, C. Heinemann, D. Camp, B. Lessley, and E. W. Bethel, “Shared-Memory Parallel Probabilistic Graphical Modeling Optimization: Comparison of Threads, OpenMP, and Data-Parallel Primitives,” in ISC Conference on High Performance Computing, pp. 127–145, Jun. 2020. (bibtex) (https://escholarship.org/uc/item/3z48p6kq) (https://doi.org/10.1007/978-3-030-50743-5_7) (https://rdcu.be/cQ3HI (PDF))

B. Loring, M. Wolf, J. Kress, S. Shudler, J. Gu, S. Rizzi, J. Logan, N. Ferrier, and E. W. Bethel, “Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization,” in Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Norrköping, Sweden, May 2020 (bibtex) (https://escholarship.org/uc/item/9cn390hq) (https://diglib.eg.org/handle/10.2312/pgv20201073)

T. Peterka, D. Bard, J. C. Bennett, E. W. Bethel, R. A. Oldfield, L. Pouchard, C. Sweeney, and M. Wolf, “Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources,” The International Journal of High Performance Computing Applications, Mar. 2020. (bibtex) (https://doi.org/10.1177/1094342020913628)

2019 

J. Gu, B. Loring, K. Wu, and E. W. Bethel, “HDF5 As a Vehicle for in Transit Data Movement,” in Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, New York, NY, USA, pp. 39–43, 2019. (bibtex) (http://doi.acm.org/10.1145/3364228.3364237) (https://escholarship.org/uc/item/8fk6m88h)

T. Peterka, D. Bard, J. Bennett, E. W. Bethel, R. Oldfield, L. Pouchard, C. Sweeney, and M. Wolf, Eds., “Workshop report on In Situ Data Management,” DOE Office of Advanced Scientific Computing Research, Feb. 2019. (bibtex) (https://www.osti.gov/biblio/1493245-workshop-report-situ-data-management)

J. Patchett and E. W. Bethel, “Software Complexity, Heterogeneity, and User-facing Issues,” in In Situ Visualization for Computational Science (Dagstuhl Seminar 18271), vol. 8, no. 7, J. C. Bennett, H. Childs, C. Garth, and B. Hentschel, Eds. Dagstuhl, Germany: Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, pp. 1–43, 2019. (bibtex) (http://drops.dagstuhl.de/opus/volltexte/2019/10171)

2018 and earlier, coming soon