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Personal profile


  • QA75 Electronic computers. Computer science
  • high-performance computing

Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 1981 2020

FFT, FMM, and multigrid on the road to exascale: Performance challenges and opportunities

Ibeid, H., Olson, L. & Gropp, W., Feb 2020, In : Journal of Parallel and Distributed Computing. 136, p. 63-74 12 p.

Research output: Contribution to journalArticle

Multigrid Method
Fast Fourier transforms
Memory Hierarchy
Elliptic PDE
Heterogeneous Systems

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

Allen, G., Andreoni, I., Bachelet, E., Berriman, G. B., Bianco, F. B., Biswas, R., Kind, M. C., Chard, K., Cho, M., Cowperthwaite, P. S., Etienne, Z. B., George, D., Gibbs, T., Graham, M., Gropp, W., Gupta, A., Haas, R., Huerta, E. A., Jennings, E., Katz, D. S. & 28 others, Khan, A., Kindratenko, V., Kramer, W. T. C., Liu, X., Mahabal, A., McHenry, K., Miller, J. M., Neubauer, M. S., Oberlin, S., Jr, A. R. O., Rosofsky, S., Ruiz, M., Saxton, A., Schutz, B., Schwing, A., Seidel, E., Shapiro, S. L., Shen, H., Shen, Y., Sipőcz, B. M., Sun, L., Towns, J., Tsokaros, A., Wei, W., Wells, J., Williams, T. J., Xiong, J. & Zhao, Z., Feb 1 2019, 15 p.

Research output: Book/ReportCommissioned report

Artificial intelligence
Gravity waves
Big data

Exploring the feasibility of lossy compression for PDE simulations

Calhoun, J., Cappello, F., Olson, L., Snir, M. & Gropp, W. D., Mar 1 2019, In : International Journal of High Performance Computing Applications. 33, 2, p. 397-410 14 p.

Research output: Contribution to journalArticle

Lossy Compression
Partial differential equations
Partial differential equation

Guest editor's introduction: Special issue on best papers from EuroMPI/USA 2017

Gropp, W. D. & Thakur, R., May 2019, In : Parallel Computing. 84, 1 p.

Research output: Contribution to journalEditorial

Learning with analytical models

Ibeid, H., Meng, S., Dobon, O., Olson, L. & Gropp, W. D., May 2019, Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019. Institute of Electrical and Electronics Engineers Inc., p. 778-786 9 p. 8778229. (Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hybrid Model
Analytical Model
Analytical models
Machine Learning
Learning systems

Honors & Recognition