Articles with public access mandates - Kevin HuckLearn more
Not available anywhere: 4
Framework for a productive performance optimization
H Servat, G Llort, K Huck, J Giménez, J Labarta
Parallel Computing 39 (8), 336-353, 2013
Mandates: Government of Spain
Trace spectral analysis toward dynamic levels of detail
M Casas, H Servat, K Huck, J Gimenez, J Labarta
2011 IEEE 17th International Conference on Parallel and Distributed Systems …, 2011
Mandates: Government of Spain
Extending Skel to support the development and optimization of next generation I/O systems
J Logan, JY Choi, M Wolf, G Ostrouchov, L Wan, N Podhorszki, W Godoy, ...
2017 IEEE International Conference on Cluster Computing (CLUSTER), 563-571, 2017
Mandates: US National Science Foundation, US Department of Energy
Broad performance measurement support for asynchronous multi-tasking with apex
KA Huck
2022 IEEE/ACM 7th International Workshop on Extreme Scale Programming Models …, 2022
Mandates: US Department of Energy
Available somewhere: 50
Adios 2: The adaptable input output system. a framework for high-performance data management
WF Godoy, N Podhorszki, R Wang, C Atkins, G Eisenhauer, J Gu, P Davis, ...
SoftwareX 12, 100561, 2020
Mandates: US Department of Energy
Hpx-the c++ standard library for parallelism and concurrency
H Kaiser, P Diehl, AS Lemoine, BA Lelbach, P Amini, A Berge, ...
Journal of Open Source Software 5 (53), 2352, 2020
Mandates: US National Science Foundation, US Department of Energy, US Department of …
An autonomic performance environment for exascale
KA Huck, A Porterfield, N Chaimov, H Kaiser, AD Malony, T Sterling, ...
Supercomputing frontiers and innovations 2 (3), 49-66, 2015
Mandates: US Department of Energy
Coupling exascale multiphysics applications: Methods and lessons learned
JY Choi, CS Chang, J Dominski, S Klasky, G Merlo, E Suchyta, ...
2018 IEEE 14th International Conference on e-Science (e-Science), 442-452, 2018
Mandates: US Department of Energy
A scalable observation system for introspection and in situ analytics
C Wood, S Sane, D Ellsworth, A Gimenez, K Huck, T Gamblin, A Malony
2016 5th workshop on extreme-Scale Programming Tools (ESPT), 42-49, 2016
Mandates: US Department of Energy
From piz daint to the stars: Simulation of stellar mergers using high-level abstractions
G Daiß, P Amini, J Biddiscombe, P Diehl, J Frank, K Huck, H Kaiser, ...
Proceedings of the international conference for high performance computing …, 2019
Mandates: US Department of Energy, US Department of Defense
Arcs: Adaptive runtime configuration selection for power-constrained openmp applications
MAS Bari, N Chaimov, AM Malik, KA Huck, B Chapman, AD Malony, ...
2016 IEEE international conference on cluster computing (CLUSTER), 461-470, 2016
Mandates: US National Science Foundation, US Department of Energy
Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars
T Heller, BA Lelbach, KA Huck, J Biddiscombe, P Grubel, AE Koniges, ...
The International Journal of High Performance Computing Applications 33 (4 …, 2019
Mandates: US National Science Foundation, US Department of Energy, European Commission
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science
E Suchyta, S Klasky, N Podhorszki, M Wolf, A Adesoji, CS Chang, J Choi, ...
The International Journal of High Performance Computing Applications 36 (1 …, 2022
Mandates: US Department of Energy
A codesign framework for online data analysis and reduction
K Mehta, B Allen, M Wolf, J Logan, E Suchyta, S Singhal, JY Choi, ...
Concurrency and Computation: Practice and Experience 34 (14), e6519, 2022
Mandates: US Department of Energy
Chimbuko: A workflow-level scalable performance trace analysis tool
C Kelly, S Ha, K Huck, H Van Dam, L Pouchard, G Matyasfalvi, L Tang, ...
ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and …, 2020
Mandates: US Department of Energy
Asynchronous execution of python code on task-based runtime systems
R Tohid, B Wagle, S Shirzad, P Diehl, A Serio, A Kheirkhahan, P Amini, ...
2018 IEEE/ACM 4th International Workshop on Extreme Scale Programming Models …, 2018
Mandates: US National Science Foundation
Online data analysis and reduction: An important co-design motif for extreme-scale computers
I Foster, M Ainsworth, J Bessac, F Cappello, J Choi, S Di, Z Di, AM Gok, ...
The International Journal of High Performance Computing Applications 35 (6 …, 2021
Mandates: US Department of Energy
Artemis: automatic runtime tuning of parallel execution parameters using machine learning
C Wood, G Georgakoudis, D Beckingsale, D Poliakoff, A Gimenez, K Huck, ...
High Performance Computing: 36th International Conference, ISC High …, 2021
Mandates: US Department of Energy
Wowmon: A machine learning-based profiler for self-adaptive instrumentation of scientific workflows
X Zhang, H Abbasi, K Huck, AD Malony
Procedia Computer Science 80, 1507-1518, 2016
Mandates: US Department of Energy
Automatic refinement of parallel applications structure detection
J Gonzalez, K Huck, J Gimenez, J Labarta
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
Mandates: Government of Spain
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