Todd Gamblin

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38 articoli

12 articoli

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Abhinav BhateleAssistant Professor of Computer Science, University of Maryland, College ParkEmail verificata su cs.umd.edu
Katherine E. IsaacsAssistant Professor, University of ArizonaEmail verificata su cs.arizona.edu
Bernd HamannProfessor of Computer Science, University of California, DavisEmail verificata su cs.ucdavis.edu
Valerio PascucciEndowed Chair professor and Director of the Center for Extreme Data Management Analysis andEmail verificata su sci.utah.edu
Ignacio LagunaLawrence Livermore National LaboratoryEmail verificata su llnl.gov
Nikhil JainNvidiaEmail verificata su nvidia.com
Naoya MaruyamaLawrence Livermore National LaboratoryEmail verificata su acm.org
Dr. Olga PearceLawrence Livermore National LaboratoryEmail verificata su cs.tamu.edu
Saurabh BagchiProfessor, ECE and CS, Purdue UniversityEmail verificata su purdue.edu
Laxmikant KaleProfessor or Computer Science, University of IllinoisEmail verificata su illinois.edu
Kento SatoRIKEN Center for Computational Science (RIKEN R-CCS)Email verificata su riken.go.jp
Satoshi MatsuokaRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyEmail verificata su acm.org
Aaditya G. LandgeSoftware Engineer, Twitter Inc.Email verificata su sci.utah.edu
Joshua Aaron LevineAssociate Professor, University of ArizonaEmail verificata su email.arizona.edu
Ulrike Meier YangLawrence Livermore National LaboratoryEmail verificata su llnl.gov
David BeckingsaleLawrence Livermore National LaboratoryEmail verificata su llnl.gov
Jayaraman J. ThiagarajanMachine Learning Researcher, Lawrence Livermore National LabsEmail verificata su asu.edu
Ilir JusufiLinnaeus UniversityEmail verificata su lnu.se
Nancy M. AmatoAbel Bliss Professor and Head, Computer Science, University of IllinoisEmail verificata su illinois.edu
Barry RountreeLawrence Livermore National LaboratoryEmail verificata su llnl.gov

Todd Gamblin

Lawrence Livermore National Laboratory

Email verificata su llnl.gov

parallel computing performance scalability data analysis devops


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	128	2012
The Spack package manager: bringing order to HPC software chaos T Gamblin, M LeGendre, MR Collette, GL Lee, A Moody, BR de Supinski, ... SC'15: Proceedings of the International Conference for High Performance …, 2015	120	2015
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	101	2012
State of the Art of Performance Visualization. KE Isaacs, A Giménez, I Jusufi, T Gamblin, A Bhatele, M Schulz, ... EuroVis (STARs), 2014	95	2014
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	76	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	75	2011
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	69	2012
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	66	2014
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	62	2016
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	58	2008
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, 215-226, 2011	57	2011
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	55	2013
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	53	2014
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	46	2018
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	46	2016
Evaluating user-level fault tolerance for MPI applications I Laguna, DF Richards, T Gamblin, M Schulz, BR de Supinski Proceedings of the 21st European MPI Users' Group Meeting, 57-62, 2014	46	2014
Large scale debugging of parallel tasks with automaded I Laguna, T Gamblin, BR de Supinski, S Bagchi, G Bronevetsky, DH Anh, ... SC'11: Proceedings of 2011 International Conference for High Performance …, 2011	43	2011
Interpreting performance data across intuitive domains M Schulz, JA Levine, PT Bremer, T Gamblin, V Pascucci 2011 International Conference on Parallel Processing, 206-215, 2011	40	2011
Dissecting on-node memory access performance: a semantic approach A Giménez, T Gamblin, B Rountree, A Bhatele, I Jusufi, PT Bremer, ... SC'14: Proceedings of the International Conference for High Performance …, 2014	38	2014
Clustering performance data efficiently at massive scales T Gamblin, BR De Supinski, M Schulz, R Fowler, DA Reed Proceedings of the 24th ACM International Conference on Supercomputing, 243-252, 2010	38	2010

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