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pro vyhledávání: '"A. Crummey"'
Fast and accurate numerical simulations are crucial for designing large-scale geological carbon storage projects ensuring safe long-term CO2 containment as a climate change mitigation strategy. These simulations involve solving numerous large and com
Externí odkaz:
http://arxiv.org/abs/2408.03452
Finite-difference methods based on high-order stencils are widely used in seismic simulations, weather forecasting, computational fluid dynamics, and other scientific applications. Achieving HPC-level stencil computations on one architecture is chall
Externí odkaz:
http://arxiv.org/abs/2309.04671
Advanced compiler technology is crucial for enabling machine learning applications to run on novel hardware, but traditional compilers fail to deliver performance, popular auto-tuners have long search times and expert-optimized libraries introduce un
Externí odkaz:
http://arxiv.org/abs/2309.01825
Autor:
POPE, ALEXANDRA (AUTHOR), CRUMMEY, MICHAEL (AUTHOR)
Publikováno v:
Canadian Geographic. Nov/Dec2024, Vol. 144 Issue 6, p42-58. 17p. 33 Color Photographs.
Publikováno v:
In British Journal of Oral & Maxillofacial Surgery November 2024 62(9):747-752
Autor:
Zhou, Keren, Adhianto, Laksono, Anderson, Jonathon, Cherian, Aaron, Grubisic, Dejan, Krentel, Mark, Liu, Yumeng, Meng, Xiaozhu, Mellor-Crummey, John
Publikováno v:
Parallel Computing 2021
To address the challenge of performance analysis on the US DOE's forthcoming exascale supercomputers, Rice University has been extending its HPCToolkit performance tools to support measurement and analysis of GPU-accelerated applications. To help dev
Externí odkaz:
http://arxiv.org/abs/2109.06931
Performance tools for emerging heterogeneous exascale platforms must address two principal challenges when analyzing execution measurements. First, measurement of large-scale executions may record mountains of performance data. Second, performance me
Externí odkaz:
http://arxiv.org/abs/2108.04002
Autor:
Crummey, Conor1 Conor.Crummey@mu.ie, Pavlakos, George2
Publikováno v:
Jurisprudence. Jun2024, Vol. 15 Issue 2, p135-144. 10p.
Stencil computations are widely used in HPC applications. Today, many HPC platforms use GPUs as accelerators. As a result, understanding how to perform stencil computations fast on GPUs is important. While implementation strategies for low-order sten
Externí odkaz:
http://arxiv.org/abs/2009.04619
Developing efficient GPU kernels can be difficult because of the complexity of GPU architectures and programming models. Existing performance tools only provide coarse-grained suggestions at the kernel level, if any. In this paper, we describe GPA, a
Externí odkaz:
http://arxiv.org/abs/2009.04061