MAESTRO, CASTRO, and SEDONA -- Petascale Codes for Astrophysical Applications

Autor: Almgren, A., Bell, J., Kasen, D., Lijewski, M., Nonaka, A., Nugent, P., Rendleman, C., Thomas, R., Zingale, M.

Publikováno v: Proceedings of the 2010 Scientific Discovery through Advanced Computing (SciDAC) Conference. Chattanooga, Tennessee, July 11-15, 2010. Oak Ridge National Laboratory. http://computing.ornl.gov/workshops/scidac2010/

Performing high-resolution, high-fidelity, three-dimensional simulations of Type Ia supernovae (SNe Ia) requires not only algorithms that accurately represent the correct physics, but also codes that effectively harness the resources of the most powe

Externí odkaz: http://arxiv.org/abs/1008.2801

MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows

Autor: Nonaka, A., Almgren, A. S., Bell, J. B., Lijewski, M. J., Malone, C. M., Zingale, M.

Many astrophysical phenomena are highly subsonic, requiring specialized numerical methods suitable for long-time integration. In a series of earlier papers we described the development of MAESTRO, a low Mach number stellar hydrodynamics code that can

Externí odkaz: http://arxiv.org/abs/1005.0112

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Iron and Bronze Powdered Based Materials for Bearings with Surface Modified with Solid Lubricant Nanoparticles.

Autor: Lijewski, M.¹, Leshynsky, V.¹, Wisniewska-Weinert, H.¹, Sulej-Chojnacka, J.¹, Rybak, T.¹

Publikováno v: Archives of Metallurgy & Materials. Mar2014, Vol. 59 Issue 1, p253-257. 5p.

Software Design Space Exploration for Exascale Combustion Co-design

Autor: Chan, C, Unat, D, Lijewski, M, Zhang, W, Bell, J, Shalf, J

Publikováno v: Chan, C; Unat, D; Lijewski, M; Zhang, W; Bell, J; & Shalf, J. (2013). Software design space exploration for exascale combustion co-design. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7905 LNCS, 196-212. doi: 10.1007/978-3-642-38750-0_15. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/76d327gc
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 7905 LNCS

The design of hardware for next-generation exascale computing systems will require a deep understanding of how software optimizations impact hardware design trade-offs. In order to characterize how co-tuning hardware and software parameters affects t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b0c13eb60042acd3adf11b57f74e4d25
https://escholarship.org/uc/item/76d327gc