Todd Gamblin

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Abhinav BhateleAssociate Professor of Computer Science, University of Maryland, College ParkVerifierad e-postadress på cs.umd.edu
Katherine E. IsaacsAssociate Professor, The University of UtahVerifierad e-postadress på sci.utah.edu
Nikhil JainNvidiaVerifierad e-postadress på nvidia.com
Ignacio LagunaLawrence Livermore National LaboratoryVerifierad e-postadress på llnl.gov
Dr. Olga PearceLawrence Livermore National Laboratory, Texas A&M UniversityVerifierad e-postadress på cs.tamu.edu
Valerio PascucciEndowed Chair professor and Director of the Center for Extreme Data Management Analysis andVerifierad e-postadress på sci.utah.edu
David BeckingsaleLawrence Livermore National LaboratoryVerifierad e-postadress på llnl.gov
Saurabh BagchiElectrical and Computer Engineering, Computer Science; Director Army A2I2 & NSF CHORUS; PurdueVerifierad e-postadress på purdue.edu
Joshua Aaron LevineAssociate Professor, University of ArizonaVerifierad e-postadress på email.arizona.edu
Laxmikant KaleProfessor or Computer Science, University of IllinoisVerifierad e-postadress på illinois.edu
Kento SatoRIKEN Center for Computational Science (RIKEN R-CCS)Verifierad e-postadress på riken.go.jp
Satoshi MatsuokaRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyVerifierad e-postadress på acm.org
Jayaraman J. ThiagarajanMachine Learning ResearcherVerifierad e-postadress på asu.edu
Ulrike Meier YangLawrence Livermore National LaboratoryVerifierad e-postadress på llnl.gov
Aaditya G. LandgeSoftware Engineer, Twitter Inc.Verifierad e-postadress på sci.utah.edu
Barry RountreeLawrence Livermore National LaboratoryVerifierad e-postadress på llnl.gov
Ilir JusufiBlekinge Institute of TechnologyVerifierad e-postadress på bth.se
Nancy M. AmatoAbel Bliss Professor and Head, Computer Science, University of IllinoisVerifierad e-postadress på illinois.edu
Allison H. BakerNational Center for Atmospheric ResearchVerifierad e-postadress på ucar.edu
Dan ReedIllinois/UNC/Microsoft/Iowa/UtahVerifierad e-postadress på utah.edu

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Todd Gamblin

Lawrence Livermore National Laboratory

Verifierad e-postadress på llnl.gov - Startsida

hpc parallel computing performance dependency management developer tools


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
The Spack package manager: bringing order to HPC software chaos T Gamblin, M LeGendre, MR Collette, GL Lee, A Moody, BR De Supinski, ... Proceedings of the International Conference for High Performance Computing …, 2015	344	2015
Caliper: performance introspection for HPC software stacks D Boehme, T Gamblin, D Beckingsale, PT Bremer, A Gimenez, ... SC'16: Proceedings of the International Conference for High Performance …, 2016	150	2016
Design and modeling of a non-blocking checkpointing system K Sato, N Maruyama, K Mohror, A Moody, T Gamblin, BR de Supinski, ... SC'12: Proceedings of the International Conference on High Performance …, 2012	149	2012
Autotuning in high-performance computing applications P Balaprakash, J Dongarra, T Gamblin, M Hall, JK Hollingsworth, B Norris, ... Proceedings of the IEEE 106 (11), 2068-2083, 2018	143	2018
State of the Art of Performance Visualization. KE Isaacs, A Giménez, I Jusufi, T Gamblin, A Bhatele, M Schulz, ... EuroVis (STARs) 3, 6, 2014	142	2014
Quantifying the effectiveness of load balance algorithms O Pearce, T Gamblin, BR De Supinski, M Schulz, NM Amato Proceedings of the 26th ACM international conference on Supercomputing, 185-194, 2012	125	2012
Evaluating HPC networks via simulation of parallel workloads N Jain, A Bhatele, S White, T Gamblin, LV Kale SC'16: Proceedings of the International Conference for High Performance …, 2016	96	2016
Mapping applications with collectives over sub-communicators on torus networks A Bhatele, T Gamblin, SH Langer, PT Bremer, EW Draeger, B Hamann, ... SC'12: Proceedings of the International Conference on High Performance …, 2012	89	2012
Challenges of scaling algebraic multigrid across modern multicore architectures AH Baker, T Gamblin, M Schulz, UM Yang 2011 IEEE International Parallel & Distributed Processing Symposium, 275-286, 2011	83	2011
A user-level infiniband-based file system and checkpoint strategy for burst buffers K Sato, K Mohror, A Moody, T Gamblin, BR De Supinski, N Maruyama, ... 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2014	82	2014
Combing the communication hairball: Visualizing parallel execution traces using logical time KE Isaacs, PT Bremer, I Jusufi, T Gamblin, A Bhatele, M Schulz, ... IEEE transactions on visualization and computer graphics 20 (12), 2349-2358, 2014	81	2014
Visualizing network traffic to understand the performance of massively parallel simulations AG Landge, JA Levine, A Bhatele, KE Isaacs, T Gamblin, M Schulz, ... IEEE Transactions on Visualization and Computer Graphics 18 (12), 2467-2476, 2012	79	2012
Identifying the culprits behind network congestion A Bhatele, AR Titus, JJ Thiagarajan, N Jain, T Gamblin, PT Bremer, ... 2015 IEEE International Parallel and Distributed Processing Symposium, 113-122, 2015	70	2015
Performance modeling under resource constraints using deep transfer learning A Marathe, R Anirudh, N Jain, A Bhatele, J Thiagarajan, B Kailkhura, ... Proceedings of the International Conference for High Performance Computing …, 2017	69	2017
Predicting application performance using supervised learning on communication features N Jain, A Bhatele, MP Robson, T Gamblin, LV Kale Proceedings of the International Conference on High Performance Computing …, 2013	67	2013
Scaling algebraic multigrid solvers: On the road to exascale AH Baker, RD Falgout, T Gamblin, TV Kolev, M Schulz, UM Yang Competence in High Performance Computing 2010: Proceedings of an …, 2012	67	2012
Scalable load-balance measurement for SPMD codes T Gamblin, BR De Supinski, M Schulz, R Fowler, DA Reed SC'08: Proceedings of the 2008 ACM/IEEE conference on Supercomputing, 1-12, 2008	64	2008
Machine learning predictions of runtime and IO traffic on high-end clusters R McKenna, S Herbein, A Moody, T Gamblin, M Taufer 2016 IEEE International Conference on Cluster Computing (CLUSTER), 255-258, 2016	62	2016
Evaluating and extending user-level fault tolerance in MPI applications I Laguna, DF Richards, T Gamblin, M Schulz, BR de Supinski, K Mohror, ... The International Journal of High Performance Computing Applications 30 (3 …, 2016	61	2016
Predicting the performance impact of different fat-tree configurations N Jain, A Bhatele, LH Howell, D Böhme, I Karlin, EA León, M Mubarak, ... Proceedings of the International Conference for High Performance Computing …, 2017	58	2017

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