E-LIB Suche - Ergebnisse für: Mendygral, Peter

1

WisdomWombat: A polyglot dataflow CFD code using Python and..:

, In: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis,

Donnert, Julius ; Gordon, Lindsey ; Nolting, Christopher. - p. 641-643 , 2023

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

2

GPCNeT : designing a benchmark suite for inducing and me..:

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

Chunduri, Sudheer ; Groves, Taylor ; Mendygral, Peter... - p. 1-33 , 2019

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

3

CosmoFlow : using deep learning to learn the universe at..:

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

Mathuriya, Amrita ; Bard, Deborah ; Mendygral, Peter... - p. 1-11 , 2018

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

4

Towards Exascale Simulations of the ICM Dynamo with WENO-Wo..:

Donnert, Julius ; Jang, Hanbyul ; Mendygral, Peter...
Galaxies. 6 (2018) 4 - p. 104 , 2018

Link: https://doi.org/10.3390/..

5

TensorFlow at Scale: Performance and productivity analysis ..:

Kurth, Thorsten ; Smorkalov, Mikhail ; Mendygral, Peter..
Concurrency and Computation: Practice and Experience. 31 (2018) 16 - p. , 2018

Link: https://doi.org/10.1002/..

6

Evaluating the networking characteristics of the Cray XC‐40..:

Doerfler, Douglas ; Austin, Brian ; Cook, Brandon...
Concurrency and Computation: Practice and Experience. 30 (2017) 1 - p. , 2017

Link: https://doi.org/10.1002/..

7

WisdomWombat: A polyglot dataflow CFD code using Python and..:

Donnert, Julius ; Gordon, Lindsey ; Nolting, Christopher.
doi:10.5281/zenodo.8250061. , 2023

Link: https://zenodo.org/recor..

8

Characterizing the Uncertainty in Cluster Magnetic Fields d..:

Johnson, Andrew ; Rudnick, Lawrence ; Jones, Thomas..
http://arxiv.org/abs/2001.00903. , 2020

Link: http://arxiv.org/abs/200..

9

GPCNeT:

Chunduri, Sudheer ; Groves, Taylor ; Mendygral, Peter...
qt17m1r82n. , 2019

Link: https://escholarship.org..

10

CosmoFlow: Using Deep Learning to Learn the Universe at Sca..:

Mathuriya, Amrita ; Bard, Deborah ; Mendygral, Peter...
qt6g4145rq. , 2018

Link: https://escholarship.org..

11

Evaluating the networking characteristics of the Cray XC‐40..:

Doerfler, Douglas ; Austin, Brian ; Cook, Brandon...
qt6cx662wv. , 2018

Link: https://escholarship.org..

12

CosmoFlow: Using Deep Learning to Learn the Universe at Sca..:

Mathuriya, Amrita ; Bard, Deborah ; Mendygral, Peter...
http://arxiv.org/abs/1808.04728. , 2018

Link: http://arxiv.org/abs/180..

13

WOMBAT: A Scalable and High Performance Astrophysical MHD C..:

Mendygral, Peter ; Radcliffe, Nick ; Kandalla, Krishna...
http://arxiv.org/abs/1701.07452. , 2017

Link: http://arxiv.org/abs/170..

14

Cosmic ray acceleration at perpendicular shocks in supernov..:

Ferrand, Gilles ; Danos, Rebecca J ; Shalchi, Andreas...
http://arxiv.org/abs/1407.6728. , 2014

Link: http://arxiv.org/abs/140..

15

MHD Simulations of AGN Jets in a Dynamic Galaxy Cluster Med..:

Mendygral, Peter ; Jones, Tom ; Dolag, Klaus
http://arxiv.org/abs/1203.2312. , 2012

Link: http://arxiv.org/abs/120..