Build to order linear algebra kernels. - Jeremy G. Siek; Ian Karlin; Elizabeth R. Jessup (IPDPS, 2008)

Automating the generation of composed linear algebra kernels. - Geoffrey Belter; Elizabeth R. Jessup; Ian Karlin; Jeremy G. Siek (SC, 2009)

Understanding memory effects in the automated generation of optimized matrix algebra kernels. - Elizabeth R. Jessup; Ian Karlin; Erik Silkensen; Geoffrey Belter; Jeremy G. Siek (ICCS, 2010)

Parallel memory prediction for fused linear algebra kernels. - Ian Karlin; Elizabeth R. Jessup; Geoffrey Belter; Jeremy G. Siek (SIGMETRICS Perform. Evaluation Rev., 2011)

Abstract: Memory and Parallelism Exploration Using the LULESH Proxy Application. - Ian Karlin; Jim McGraw; Esthela Gallardo; Jeff Keasler; Edgar A. León; Bert Still (SC Companion, 2012)

Poster: Memory and Parallelism Exploration Using the LULESH Proxy Application. - Ian Karlin; Jim McGraw; Esthela Gallardo; Jeff Keasler; Edgar A. León; Bert Still (SC Companion, 2012)

Modeling the memory and performance impacts of loop fusion. - Ian Karlin; Elizabeth R. Jessup; Erik Silkensen (J. Comput. Sci., 2012)

Exploring Traditional and Emerging Parallel Programming Models Using a Proxy Application. - Ian Karlin; Abhinav Bhatele; Jeff Keasler; Bradford L. Chamberlain; Jonathan D. Cohen 001; Zachary DeVito; Riyaz Haque; Dan Laney; Edward Luke; Felix Wang; David F. Richards; Martin Schulz 001; et al. (IPDPS, 2013)

Characterizing the Impact of Program Optimizations on Power and Energy for Explicit Hydrodynamics. - Edgar A. León; Ian Karlin (IPDPS Workshops, 2014)

Performance Characteristics of HYDRA - A Multi-physics Simulation Code from LLNL. - Steven H. Langer; Ian Karlin; Michael M. Marinak (VECPAR, 2014)

Optimizing Explicit Hydrodynamics for Power, Energy, and Performance. - Edgar A. León; Ian Karlin; Ryan E. Grant (CLUSTER, 2015)

Data Layout Optimization for Portable Performance. - Kamal Sharma; Ian Karlin; Jeff Keasler; James R. McGraw; Vivek Sarkar (Euro-Par, 2015)

Fast Multi-parameter Performance Modeling. - Alexandru Calotoiu; David Beckingsale; Christopher W. Earl; Torsten Hoefler; Ian Karlin; Martin Schulz 001; Felix Wolf 001 (CLUSTER, 2016)

High-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 (ICCS, 2016)

System Noise Revisited: Enabling Application Scalability and Reproducibility with SMT. - Edgar A. León; Ian Karlin; Adam Moody (IPDPS, 2016)

Early Experiences Porting Three Applications to OpenMP 4.5. - Ian Karlin; Tom Scogland; Arpith C. Jacob; Samuel F. Antão; Gheorghe-Teodor Bercea; Carlo Bertolli; Bronis R. de Supinski; Erik W. Draeger; Alexandre E. Eichenberger; Jim Glosli; Holger Jones; Adam Kunen; et al. (IWOMP, 2016)

Characterizing parallel scientific applications on commodity clusters: an empirical study of a tapered fat-tree. - Edgar A. León; Ian Karlin; Abhinav Bhatele; Steven H. Langer; Chris Chambreau; Louis H. Howell; Trent D'Hooge; Matthew L. Leininger (SC, 2016)

Program optimizations: The interplay between power, performance, and energy. - Edgar A. León; Ian Karlin; Ryan E. Grant; Matthew G. F. Dosanjh (Parallel Comput., 2016)

Predicting the performance impact of different fat-tree configurations. - Nikhil Jain; Abhinav Bhatele; Louis H. Howell; David Böhme; Ian Karlin; Edgar A. León; Misbah Mubarak; Noah Wolfe; Todd Gamblin; Matthew L. Leininger (SC, 2017)

DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools. - Chunhua Liao; Pei-Hung Lin; Joshua Asplund; Markus Schordan; Ian Karlin (SC, 2017)

Runtime and Memory Evaluation of Data Race Detection Tools. - Pei-Hung Lin; Chunhua Liao; Markus Schordan; Ian Karlin (ISoLA (2), 2018)

A Semantics-Driven Approach to Improving DataRaceBench's OpenMP Standard Coverage. - Chunhua Liao; Pei-Hung Lin; Markus Schordan; Ian Karlin (IWOMP, 2018)

The 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 001; Scott Atchley; Sarp Oral; Don E. Maxwell; Verónica G. Vergara Larrea; Adam Bertsch; et al. (SC, 2018)

Using Polyhedral Analysis to Verify OpenMP Applications are Data Race Free. - Fangke Ye; Markus Schordan; Chunhua Liao; Pei-Hung Lin; Ian Karlin; Vivek Sarkar (CORRECTNESS@SC, 2018)

Preparation 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 001; Guojing Cong; Carlos H. A. Costa; Johann Dahm; Giacomo Domeniconi; et al. (SC, 2019)

Exploring Regression of Data Race Detection Tools Using DataRaceBench. - Pei-Hung Lin; Chunhua Liao; Markus Schordan; Ian Karlin (CORRECTNESS@SC, 2019)

Testing the Limits of Tapered Fat Tree Networks. - Philip Taffet; Sanil Rao; Edgar A. León; Ian Karlin (PMBS@SC, 2019)

An evaluation of the CORAL interconnects. - Christopher Zimmer 001; Scott Atchley; Ramesh Pankajakshan; Brian E. Smith; Ian Karlin; Matthew L. Leininger; Adam Bertsch; Brian S. Ryujin; Jason Burmark; André Walker-Loud; Michael A. Clark; Olga Pearce (SC, 2019)

Challenges of GPU-aware Communication in MPI. - Nathan Hanford; Ramesh Pankajakshan; Edgar A. León; Ian Karlin (ExaMPI@SC, 2020)

TOSS-2020: a commodity software stack for HPC. - Edgar A. León; Trent D'Hooge; Nathan Hanford; Ian Karlin; Ramesh Pankajakshan; Jim Foraker; Chris Chambreau; Matthew L. Leininger (SC, 2020)

Sierra Center of Excellence: Lessons learned. - Johann Dahm; David F. Richards; Aaron Black; Adam Bertsch; Leopold Grinberg; Ian Karlin; Sara Kokkila Schumacher; Edgar A. León; Rob Neely; Ramesh Pankajakshan; Olga Pearce (IBM J. Res. Dev., 2020)

On-the-Fly, Robust Translation of MPI Libraries. - Edgar A. León; Marc Joos; Nathan Hanford; Adrien Cotte; Tony Delforge; François Diakhaté; Vincent Ducrot; Ian Karlin; Marc Pérache (CLUSTER, 2021)

Monitoring 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 (CLUSTER, 2021)

A Holistic View of Memory Utilization on HPC Systems: Current and Future Trends. - Ivy Peng; Ian Karlin; Maya B. Gokhale; Kathleen Shoga; Matthew P. LeGendre; Todd Gamblin (MEMSYS, 2021)

Is Disaggregation possible for HPC Cognitive Simulation? - Michael R. Wyatt II; Valen Yamamoto; Zoë Tosi; Ian Karlin; Brian Van Essen (MLHPC@SC, 2021)

Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models. - Sam Ade Jacobs; Tim Moon; Kevin McLoughlin; Derek Jones; David Hysom; Dong H. Ahn; John C. Gyllenhaal; Pythagoras Watson; Felice C. Lightstone; Jonathan E. Allen; Ian Karlin; Brian Van Essen (Int. J. High Perform. Comput. Appl., 2021)

Efficient exascale discretizations: High-order finite element methods. - Tzanio V. Kolev; Paul F. Fischer; Misun Min; Jack J. Dongarra; Jed Brown; Veselin Dobrev; Tim Warburton; Stanimire Tomov; Mark S. Shephard; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; et al. (Int. J. High Perform. Comput. Appl., 2021)

Scalable Composition and Analysis Techniques for Massive Scientific Workflows. - Dong H. Ahn; Xiaohua Zhang; Jeffrey Mast; Stephen Herbein; Francesco Di Natale; Dan Kirshner 001; Sam Ade Jacobs; Ian Karlin; Daniel J. Milroy; Bronis R. de Supinski; Brian Van Essen; Jonathan E. Allen; et al. (e-Science, 2022)

Understanding Power and Energy Utilization in Large Scale Production Physics Simulation Codes. - Brian S. Ryujin; Arturo Vargas; Ian Karlin; Shawn A. Dawson; Kenneth Weiss 001; Adam Bertsch; Michael Scott McKinley; Michael R. Collette; Simon D. Hammond; Kevin T. Pedretti; Robert N. Rieben (CoRR, 2022)

Heterogeneous 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 (SC Workshops, 2024)