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pro vyhledávání: '"Taylor, Christopher"'
Parallel algorithms relying on synchronous parallelization libraries often experience adverse performance due to global synchronization barriers. Asynchronous many-task runtimes offer task futurization capabilities that minimize or remove the need fo
Externí odkaz:
http://arxiv.org/abs/2405.00015
Dissertation/ Thesis
Autor:
Taylor, Christopher
Spinal motoneurons (MNs) relay neural commands from the brain to the muscles to produce functional movement. However, MNs are more than passive conduits of neural commands; they also shape motor output through alterations in their intrinsic excitabil
Externí odkaz:
http://hdl.handle.net/20.500.12613/8547
Autor:
Diehl, Parick, Daiss, Gregor, Brandt, Steven R., Kheirkhahan, Alireza, Kaiser, Hartmut, Taylor, Christopher, Leidel, John
In recent years, computers based on the RISC-V architecture have raised broad interest in the high-performance computing (HPC) community. As the RISC-V community develops the core instruction set architecture (ISA) along with ISA extensions, the HPC
Externí odkaz:
http://arxiv.org/abs/2309.06530
Autor:
Chug, Divyansh, Dominguez, Francina, Taylor, Christopher M, Klein, Cornelia, Nesbitt, Stephen W
Soil moisture-precipitation (SM-PPT) feedbacks at the mesoscale represent a major challenge for numerical weather prediction, especially for subtropical regions that exhibit large variability in surface SM. How does surface heterogeneity, specificall
Externí odkaz:
http://arxiv.org/abs/2304.04630
Autor:
Taylor, Christopher Stuart
Publikováno v:
Equality, Diversity and Inclusion: An International Journal, 2023, Vol. 43, Issue 2, pp. 230-242.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EDI-02-2023-0044
Autor:
Sakin, Sayef Azad, Bigelow, Alex, Tohid, R., Scully-Allison, Connor, Scheidegger, Carlos, Brandt, Steven R., Taylor, Christopher, Huck, Kevin A., Kaiser, Hartmut, Isaacs, Katherine E.
Understanding the behavior of software in execution is a key step in identifying and fixing performance issues. This is especially important in high performance computing contexts where even minor performance tweaks can translate into large savings i
Externí odkaz:
http://arxiv.org/abs/2208.00109