E-LIB Suche - Ergebnisse für: Schanen, Michel

1

Transparent Checkpointing for Automatic Differentiation of ..:

, In: Computational Science – ICCS 2023; Lecture Notes in Computer Science,

Schanen, Michel ; Narayanan, Sri Hari Krishna ; Williamson, Sarah... - p. 483-497 , 2023

Link: https://doi.org/10.1007/..

2

Fitting Matérn smoothness parameters using automatic differ..:

Geoga, Christopher J. ; Marin, Oana ; Schanen, Michel.
Statistics and Computing. 33 (2023) 2 - p. , 2023

Link: https://doi.org/10.1007/..

3

Accelerating Condensed Interior-Point Methods on SIMD/GPU A..:

Pacaud, François ; Shin, Sungho ; Schanen, Michel..
Journal of Optimization Theory and Applications. , 2023

Link: https://doi.org/10.1007/..

4

A feasible reduced space method for real-time optimal power..:

Pacaud, François ; Maldonado, Daniel Adrian ; Shin, Sungho..
Electric Power Systems Research. 212 (2022) - p. 108268 , 2022

Link: https://doi.org/10.1016/..

5

Scalable Automatic Differentiation of Multiple Parallel Par..:

, In: SC22: International Conference for High Performance Computing, Networking, Storage and Analysis,

Moses, William S. ; Narayanan, Sri Hari Krishna ; Paehler, Ludger... - p. 1-18 , 2022

Link: https://doi.org/10.1109/..

6

Frequency Recovery in Power Grids using High-Performance Co..:

, In: Workshop Proceedings of the 51st International Conference on Parallel Processing,

Rao, Vishwas ; Subramanyam, Anirudh ; Schanen, Michel... - p. 1-6 , 2022

Link: https://dl.acm.org/doi/1..

7

Reverse-Mode Automatic Differentiation and Optimization of ..:

, In: SC21: International Conference for High Performance Computing, Networking, Storage and Analysis,

Moses, William S. ; Churavy, Valentin ; Paehler, Ludger... - p. 1-18 , 2021

Link: https://doi.org/10.1145/..

8

Domain Decomposition Preconditioners for Unstructured Netwo..:

, In: 50th International Conference on Parallel Processing Workshop,

Maldonado, Daniel Adrian ; Schanen, Michel ; Pacaud, François. - p. 1-5 , 2021

Link: https://dl.acm.org/doi/1..

9

Reverse-mode automatic differentiation and optimization of ..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

Moses, William S. ; Churavy, Valentin ; Paehler, Ludger... - p. 1-16 , 2021

Link: https://dl.acm.org/doi/1..

10

Vector Forward Mode Automatic Differentiation on SIMD/SIMT ..:

, In: 49th International Conference on Parallel Processing - ICPP,

Hückelheim, Jan ; Schanen, Michel ; Narayanan, Sri Hari Krishna. - p. 1-11 , 2020

Link: https://dl.acm.org/doi/1..

11

Toward a scalable robust security-constrained optimal power..:

Dandurand, Brian ; Kim, Kibaek ; Schanen, Michel
Electric Power Systems Research. 189 (2020) - p. 106681 , 2020

Link: https://doi.org/10.1016/..

12

A Framework for Distributed Approximation of Moments with H..:

, In: Lecture Notes in Computer Science; Computational Science – ICCS 2019,

Schanen, Michel ; Maldonado, Daniel Adrian ; Anitescu, Mihai - p. 251-260 , 2019

Link: https://doi.org/10.1007/..

13

A Multiperiod Optimization-Based Metric of Grid Resilience:

, In: 2019 IEEE Power & Energy Society General Meeting (PESGM),

Rao, Vishwas ; Kim, Kibaek ; Schanen, Michel... - p. 1-5 , 2019

Link: https://doi.org/10.1109/..

14

Semantics driven adjoints of the message passing interface:

Schanen, Michel , 2016

Link: http://nbn-resolving.de/..

15

Asynchronous Two-level Checkpointing Scheme for Large-scale..:

Schanen, Michel ; Marin, Oana ; Zhang, Hong.
Procedia Computer Science. 80 (2016) - p. 1147-1158 , 2016

Link: https://doi.org/10.1016/..