David Keyes
- Ang, J.A. (Ed) et al. Abstract machine models and proxy architectures for exascale computing. In Proceedings of Hardware-Software Co-Design for High-Performance Computing, (New Orleans, LA, 2014), 25--32 Google Scholar
Digital Library
- Beck, M. On the hourglass model. Commun. ACM 62, 7 (June 2019), 48--57. Google ScholarDigital Library
- Jia, W., Wangy, H., Chenz, M., Luz, D., Lin, L., Car, R., Weinan E. and Zhang, L. Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning. In Proceedings of the Intern. Conf. High-Performance Computing, Networking, Storage and Analysis, (Nov. 2020). Google ScholarDigital Library
- Norton, A., Conway, S. and Joseph, E. Bringing HPC Expertise to Cloud Computing. Opinion Whitepaper, Hyperion Research, Apr. 2020.Google Scholar
- Ziogas, A.N., Ben-Nun, T., Fernández, G.I., Schneider, T. Luisier, M. and Hoefler, T. A data-centric approach to extreme-scale Ab initio dissipative quantum transport simulations. In Proceedings of the Intern. Conf. High-Performance Computing, Networking, Storage and Analysis, (Nov. 2019). Google ScholarDigital Library
Index Terms
- The Arab world prepares the exascale workforce
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