Ian Karlin
Ian Karlin
Lawrence Livermore National Laboratory
確認したメール アドレス: colorado.edu
Lulesh 2.0 updates and changes
I Karlin, J Keasler, R Neely
Technical Report LLNL-TR-641973, Lawrence Livermore National Laboratory, 2013
Exploring traditional and emerging parallel programming models using a proxy application
I Karlin, A Bhatele, J Keasler, BL Chamberlain, J Cohen, Z Devito, ...
2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013
Lulesh programming model and performance ports overview
I Karlin, A Bhatele, BL Chamberlain, J Cohen, Z Devito, M Gokhale, ...
Lawrence Livermore National Laboratory (LLNL), Livermore, CA, Tech. Rep, 2012
Automating the generation of composed linear algebra kernels
G Belter, ER Jessup, I Karlin, JG Siek
Proceedings of the Conference on High Performance Computing Networking …, 2009
Build to order linear algebra kernels
JG Siek, I Karlin, ER Jessup
Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International …, 2008
High-Performance Tensor Contractions for GPUs
A Abdelfattah, M Baboulin, V Dobrev, J Dongarra, C Earl, J Falcou, ...
Procedia Computer Science 80, 108-118, 2016
The design, deployment, and evaluation of the CORAL pre-exascale systems
SS Vazhkudai, BR de Supinski, AS Bland, A Geist, J Sexton, J Kahle, ...
SC18: International Conference for High Performance Computing, Networking …, 2018
Fast multi-parameter performance modeling
A Calotoiu, D Beckinsale, CW Earl, T Hoefler, I Karlin, M Schulz, F Wolf
2016 IEEE International Conference on Cluster Computing (CLUSTER), 172-181, 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
Characterizing parallel scientific applications on commodity clusters: An empirical study of a tapered fat-tree
EA León, I Karlin, A Bhatele, SH Langer, C Chambreau, LH Howell, ...
High Performance Computing, Networking, Storage and Analysis, SC16 …, 2016
Tuning the LULESH Mini-app for Current and Future Hardware
I Karlin, J McGraw, J Keasler, B Still
Lawrence Livermore National Laboratory (LLNL), Livermore, CA, 2013
Parallel simulation of probabilistic P systems on multicore platforms
MÁ Martínez del Amor, I Karlin, RE Jensen, MJ Pérez Jiménez, AC Elster
Proceedings of the Tenth Brainstorming Week on Membrane Computing,(2) 17-26 …, 2012
DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools
C Liao, PH Lin, J Asplund, M Schordan, I Karlin
Proceedings of the International Conference for High Performance Computing …, 2017
Early Experiences Porting Three Applications to OpenMP 4.5
I Karlin, T Scogland, AC Jacob, SF Antao, GT Bercea, C Bertolli, ...
International Workshop on OpenMP, 281-292, 2016
System Noise Revisited: Enabling Application Scalability and Reproducibility with SMT
EA León, I Karlin, AT Moody
2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016
Optimizing explicit hydrodynamics for power, energy, and performance
EA León, I Karlin, RE Grant
2015 IEEE International Conference on Cluster Computing (CLUSTER), 11-21, 2015
Characterizing the impact of program optimizations on power and energy for explicit hydrodynamics
EA León, I Karlin
Parallel & Distributed Processing Symposium Workshops (IPDPSW), 2014 IEEE …, 2014
Data Layout Optimization for Portable Performance
K Sharma, I Karlin, J Keasler, JR McGraw, V Sarkar
European Conference on Parallel Processing, 250-262, 2015
Memory and Parallelism Exploration Using the LULESH Proxy Application
I Karlin, J McGraw, E Gallardo, J Keasler, EA Leon, B Still
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC …, 2012
Performance analysis and optimization for blast, a high order finite element hydro code
SH Langer, I Karlin, VA Dobrev, ML Stowell, ME Kumbera
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2015
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