Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Thomas C. H. Lux"'
Autor:
Tyler H. Chang, Layne T. Watson, Jeffrey Larson, Nicole Neveu, William I. Thacker, Shubhangi Deshpande, Thomas C. H. Lux
Publikováno v:
ACM Transactions on Mathematical Software. 48:1-34
VTMOP is a Fortran 2008 software package containing two Fortran modules for solving computationally expensive bound-constrained blackbox multiobjective optimization problems. VTMOP implements the algorithm of [ 32 ], which handles two or more objecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dca01f2fd712a0dce65dd5ffee887813
https://doi.org/10.1145/3529258
https://doi.org/10.1145/3529258
Autor:
Ali R. Butt, Kirk W. Cameron, Danfeng Yao, Li Xu, Thomas C. H. Lux, Bo Li, Layne T. Watson, Tyler H. Chang, Yili Hong
Publikováno v:
Quality Engineering. 33:318-334
Performance variability is an important measure for a reliable high performance computing (HPC) system. Performance variability is affected by complicated interactions between numerous factors, suc...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cf1f4819f817b1f2d079d32569c1319
https://doi.org/10.1080/08982112.2020.1866203
https://doi.org/10.1080/08982112.2020.1866203
Publikováno v:
Numerical Algorithms. 88:281-313
Increases in the quantity of available data have allowed all fields of science to generate more accurate models of multivariate phenomena. Regression and interpolation become challenging when the dimension of data is large, especially while maintaini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67b87b8b8dd361077c6575d0cca28535
https://doi.org/10.1007/s11075-020-01040-2
https://doi.org/10.1007/s11075-020-01040-2
Publikováno v:
ACM Transactions on Mathematical Software. 46:1-20
DELAUNAYSPARSE contains both serial and parallel codes written in Fortran 2003 (with OpenMP) for performing medium- to high-dimensional interpolation via the Delaunay triangulation. To accommodate the exponential growth in the size of the Delaunay tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dede836fc308e0a4de6c998c02f9662
https://doi.org/10.1145/3422818
https://doi.org/10.1145/3422818
Autor:
Jon Bernard, Thomas C. H. Lux, Li Xu, Layne T. Watson, Kirk W. Cameron, Bo Li, Yueyao Wang, Tyler H. Chang, Yili Hong
Publikováno v:
Journal of Parallel and Distributed Computing. 139:87-98
Performance variability is an important factor of high-performance computing (HPC) systems. HPC performance variability is often complex because its sources interact and are distributed throughout the system stack. For example, the performance variab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e066ccf1e70df473b90e3f533481f4f1
https://doi.org/10.1016/j.jpdc.2020.01.005
https://doi.org/10.1016/j.jpdc.2020.01.005
Autor:
Layne T. Watson, Jon Bernard, Thomas C. H. Lux, Yue Cheng, Yili Hong, Chandler Jearls, Bo Li, Ali Anwar, Kirk W. Cameron, Uday Ananth, Ali R. Butt, Li Xu
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 30:1843-1856
Exponential increases in complexity and scale make variability a growing threat to sustaining HPC performance at exascale. Performance variability in HPC I/O is common, acute, and formidable. We take the first step towards comprehensively studying li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d7b3f6df95b07048f28afa49a513f8
https://doi.org/10.1109/tpds.2019.2892129
https://doi.org/10.1109/tpds.2019.2892129
Autor:
Jon Bernard, Thomas C. H. Lux, Layne T. Watson, Li Xu, Yueyao Wang, Tyler H. Chang, Yili Hong, Kirk W. Cameron
Publikováno v:
2020 SoutheastCon.
Many fields of science rely on the collection of samples and estimation of true population distributions from those samples. There are several effective nonparametric methods for approximating a true distribution from empirical data, however it is un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2900ee2ad798a9e5febe66ee5b477c85
https://doi.org/10.1109/southeastcon44009.2020.9368295
https://doi.org/10.1109/southeastcon44009.2020.9368295
Autor:
Thomas C. H. Lux, Tyler H. Chang
Publikováno v:
2020 SoutheastCon.
Convex optimization algorithms such as gradient descent, quasi-Newton methods, and their variants are designed to find the global minimum of strongly convex functions. When these algorithms are applied to the minimization of non-convex functions they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7de99904680fae54747ffaf323d4f4d0
https://doi.org/10.1109/southeastcon44009.2020.9368254
https://doi.org/10.1109/southeastcon44009.2020.9368254
Publikováno v:
SpringSim
A novel algorithm for computing monotone order six piecewise polynomial interpolants is proposed. Algebraic constraints for enforcing monotonicity are provided that align with quintic monotonicity theory. The algorithm is implemented, tested, and app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9ef0982fe5ceaa7a2b2ee9045e18b49
https://doi.org/10.22360/springsim.2020.hpc.003
https://doi.org/10.22360/springsim.2020.hpc.003
Publikováno v:
SpringSim
Multiobjective optimization problems (MOPs) are common across many science and engineering fields. A multiobjective optimization algorithm (MOA) seeks to provide an approximation to the tradeoff surface between multiple, possibly conflicting, objecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8946746dbec9decc8f5f999338d6f3f4
https://doi.org/10.22360/springsim.2020.hpc.001
https://doi.org/10.22360/springsim.2020.hpc.001