David Keyes

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2018
Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry
Asch, M., Moore, T., Badia, R., Beck, M., Beckman, P., Bidot, T., Bodin, F., Cappello, F., Choudhary, A., de Supinski, B., Deelman, E., Dongarra, J., Dubey, A., Fox, G., Fu, H., Girona, S., Gropp, W., Heroux, M., Ishikawa, Y. & Keahey, K. & 19 others, Keyes, D., Kramer, W., Lavignon, J. F., Lu, Y., Matsuoka, S., Mohr, B., Reed, D., Requena, S., Saltz, J., Schulthess, T., Stevens, R., Swany, M., Szalay, A., Tang, W., Varoquaux, G., Vilotte, J. P., Wisniewski, R., Xu, Z. & Zacharov, I., Jul 1 2018, In: International Journal of High Performance Computing Applications. 32, 4, p. 435-479 45 p.
Research output: Contribution to journal › Review article › peer-review
101 Scopus citations
2004
Jacobian-free Newton-Krylov methods: A survey of approaches and applications
Knoll, D. A. & Keyes, D. E., Jan 20 2004, In: Journal of Computational Physics. 193, 2, p. 357-397 41 p.
Research output: Contribution to journal › Review article › peer-review
1601 Scopus citations

Research output