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Ian Karlin

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

22

Venues

5

Active years

2009–2024

Best venue rank

A

Where they publish

Papers

22 indexed papers, newest first.

YearVenueTitleAuthors
2024SCHeterogeneous computing in a strongly-connected CPU-GPU environment: fast multiple time-evolution equation-based modeling accelerated using data-driven approach.Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Maddegedara, Jack C. Wells, Alan Gray, Ian Karlin, John Linford
2021CLUSTEROn-the-Fly, Robust Translation of MPI Libraries.Edgar A. Len, Marc Joos, Nathan Hanford, Adrien Cotte, Tony Delforge, Franois Diakhat, Vincent Ducrot, Ian Karlin, Marc Prache
2021CLUSTERMonitoring Large Scale Supercomputers: A Case Study with the Lassen Supercomputer.Tapasya Patki, Adam Bertsch, Ian Karlin, Dong H. Ahn, Brian Van Essen, Barry Rountree, Bronis R. de Supinski, Nathan Besaw
2020SCChallenges of GPU-aware Communication in MPI.Nathan Hanford, Ramesh Pankajakshan, Edgar A. Len, Ian Karlin
2020SCTOSS-2020: a commodity software stack for HPC.Edgar A. Len, Trent D'Hooge, Nathan Hanford, Ian Karlin, Ramesh Pankajakshan, Jim Foraker, Chris Chambreau, Matthew L. Leininger
2019SCPreparation and optimization of a diverse workload for a large-scale heterogeneous system.Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Bjrn Sjgreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Bhme, Jamie A. Bramwell, James M. Brase, Jos R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz
2019SCExploring Regression of Data Race Detection Tools Using DataRaceBench.Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin
2019SCTesting the Limits of Tapered Fat Tree Networks.Philip Taffet, Sanil Rao, Edgar A. Len, Ian Karlin
2019SCAn evaluation of the CORAL interconnects.Christopher Zimmer, Scott Atchley, Ramesh Pankajakshan, Brian E. Smith, Ian Karlin, Matthew L. Leininger, Adam Bertsch, Brian S. Ryujin, Jason Burmark, Andr Walker-Loud, Michael A. Clark, Olga Pearce
2018ISoLARuntime and Memory Evaluation of Data Race Detection Tools.Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin
2018SCThe design, deployment, and evaluation of the CORAL pre-exascale systems.Sudharshan S. Vazhkudai, Bronis R. de Supinski, Arthur S. Bland, Al Geist, James C. Sexton, Jim Kahle, Christopher Zimmer, Scott Atchley, Sarp Oral, Don E. Maxwell, Vernica G. Vergara Larrea, Adam Bertsch, Robin Goldstone, Wayne Joubert, Chris Chambreau, David Appelhans, Robert Blackmore, Ben Casses, George Chochia, Gene Davison, Matthew A. Ezell, Tom Gooding, Elsa Gonsiorowski, Leopold Grinberg, Bill Hanson, Bill Hartner, Ian Karlin, Matthew L. Leininger, Dustin Leverman, Chris Marroquin, Adam Moody, Martin Ohmacht, Ramesh Pankajakshan, Fernando Pizzano, James H. Rogers, Bryan S. Rosenburg, Drew Schmidt, Mallikarjun Shankar, Feiyi Wang, Py Watson, Bob Walkup, Lance D. Weems, Junqi Yin
2018SCUsing Polyhedral Analysis to Verify OpenMP Applications are Data Race Free.Fangke Ye, Markus Schordan, Chunhua Liao, Pei-Hung Lin, Ian Karlin, Vivek Sarkar
2017SCPredicting the performance impact of different fat-tree configurations.Nikhil Jain, Abhinav Bhatele, Louis H. Howell, David Bhme, Ian Karlin, Edgar A. Len, Misbah Mubarak, Noah Wolfe, Todd Gamblin, Matthew L. Leininger
2017SCDataRaceBench: a benchmark suite for systematic evaluation of data race detection tools.Chunhua Liao, Pei-Hung Lin, Joshua Asplund, Markus Schordan, Ian Karlin
2016CLUSTERFast Multi-parameter Performance Modeling.Alexandru Calotoiu, David Beckingsale, Christopher W. Earl, Torsten Hoefler, Ian Karlin, Martin Schulz, Felix Wolf
2016ICCSHigh-Performance Tensor Contractions for GPUs.Ahmad Abdelfattah, Marc Baboulin, Veselin Dobrev, Jack J. Dongarra, Christopher W. Earl, Joel Falcou, Azzam Haidar, Ian Karlin, Tzanio V. Kolev, Ian Masliah, Stanimire Tomov
2016SCCharacterizing parallel scientific applications on commodity clusters: an empirical study of a tapered fat-tree.Edgar A. Len, Ian Karlin, Abhinav Bhatele, Steven H. Langer, Chris Chambreau, Louis H. Howell, Trent D'Hooge, Matthew L. Leininger
2015CLUSTEROptimizing Explicit Hydrodynamics for Power, Energy, and Performance.Edgar A. Len, Ian Karlin, Ryan E. Grant
2015EuroParData Layout Optimization for Portable Performance.Kamal Sharma, Ian Karlin, Jeff Keasler, James R. McGraw, Vivek Sarkar
2012SCAbstract: Memory and Parallelism Exploration Using the LULESH Proxy Application.Ian Karlin, Jim McGraw, Esthela Gallardo, Jeff Keasler, Edgar A. Len, Bert Still
2012SCPoster: Memory and Parallelism Exploration Using the LULESH Proxy Application.Ian Karlin, Jim McGraw, Esthela Gallardo, Jeff Keasler, Edgar A. Len, Bert Still
2009SCAutomating the generation of composed linear algebra kernels.Geoffrey Belter, Elizabeth R. Jessup, Ian Karlin, Jeremy G. Siek