Kevin Harms
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
8
Active years
2009–2025
Best venue rank
A
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SC | Aurora Acceptance: A Collaborative Exascale Test Harness. | Brian Homerding, Longfei Gao, Ben Lenard, Eric Pershey, Kevin Harms, Doug Waldron, Susan Coghlan, Bill Allcock, Ti Leggett, Balazs Gerofi, Tom Musta |
| 2024 | SC | Initial Experiences with DAOS Object Storage on Aurora. | Robert Latham, Robert B. Ross, Philip H. Carns, Shane Snyder, Kevin Harms, Kaushik Velusamy, Paul K. Coffman, Gordon McPheeters |
| 2024 | SC | Copper: Cooperative Caching Layer for Scalable Data Loading in Exascale Supercomputers. | Noah Lewis, Kaushik Velusamy, Kevin Harms, Huihuo Zheng |
| 2023 | SC | Enabling Agile Analysis of I/O Performance Data with PyDarshan. | Jakob Lttgau, Shane Snyder, Tyler Reddy, Nikolaus Awtrey, Kevin Harms, Jean Luca Bez, Rui Wang, Robert Latham, Philip H. Carns |
| 2022 | EuroPar | HIPLZ: Enabling Performance Portability for Exascale Systems. | Jisheng Zhao, Colleen Bertoni, Jeffrey Young, Kevin Harms, Vivek Sarkar, Brice Videau |
| 2022 | PPoPP | The SuperCodelet architecture. | Jose Manuel Monsalve Diaz, Kevin Harms, Rafael A. Herrera Guaitero, Diego A. Roa Perdomo, Kalyan Kumaran, Guang R. Gao |
| 2020 | ICS | Characterization and identification of HPC applications at leadership computing facility. | Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip H. Carns, Nageswara S. V. Rao, Ian T. Foster, Michael E. Papka |
| 2020 | SC | Keeping It Real: Why HPC Data Services Don't Achieve I/O Microbenchmark Performance. | Philip H. Carns, Kevin Harms, Bradley W. Settlemyer, Brian Atkinson, Robert B. Ross |
| 2020 | SC | Gauge: An Interactive Data-Driven Visualization Tool for HPC Application I/O Performance Analysis. | Eliakin Del Rosario, Mikaela Currier, Mihailo Isakov, Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert B. Ross, Kevin Harms, Shane Snyder, Michel A. Kinsy |
| 2019 | SC | A Generalized Statistics-Based Model for Predicting Network-Induced Variability. | Sudheer Chunduri, Elise Jennings, Kevin Harms, Christopher Knight, Scott Parker |
| 2019 | SC | Sequential Codelet Model of Program Execution. A Super-Codelet model based on the Hierarchical Turing Machine. | Jos Monsalve, Kevin Harms, Kalyan Kumaran, Guang Gao |
| 2019 | SC | Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems. | Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang |
| 2018 | FAST | Fail-Slow at Scale: Evidence of Hardware Performance Faults in Large Production Systems. | Haryadi S. Gunawi, Riza O. Suminto, Russell Sears, Casey Golliher, Swaminathan Sundararaman, Xing Lin, Tim Emami, Weiguang Sheng, Nematollah Bidokhti, Caitie McCaffrey, Gary Grider, Parks M. Fields, Kevin Harms, Robert B. Ross, Andree Jacobson, Robert Ricci, Kirk Webb, Peter Alvaro, H. Birali Runesha, Mingzhe Hao, Huaicheng Li |
| 2018 | SC | Characterization of MPI usage on a production supercomputer. | Sudheer Chunduri, Scott Parker, Pavan Balaji, Kevin Harms, Kalyan Kumaran |
| 2018 | SC | Methodology for the Rapid Development of Scalable HPC Data Services. | Matthieu Dorier, Philip H. Carns, Kevin Harms, Robert Latham, Robert B. Ross, Shane Snyder, Justin M. Wozniak, Samuel K. Gutierrez, Robert W. Robey, Brad Settlemyer, Galen M. Shipman, Jrome Soumagne, James B. Kowalkowski, Marc F. Paterno, Saba Sehrish |
| 2017 | SC | Run-to-run variability on Xeon Phi based cray XC systems. | Sudheer Chunduri, Kevin Harms, Scott Parker, Vitali A. Morozov, Samuel Oshin, Naveen Cherukuri, Kalyan Kumaran |
| 2017 | SC | UMAMI: a recipe for generating meaningful metrics through holistic I/O performance analysis. | Glenn K. Lockwood, Wucherl Yoo, Suren Byna, Nicholas J. Wright, Shane Snyder, Kevin Harms, Zachary Nault, Philip H. Carns |
| 2016 | SC | Modular HPC I/O Characterization with Darshan. | Shane Snyder, Philip H. Carns, Kevin Harms, Robert B. Ross, Glenn K. Lockwood, Nicholas J. Wright |
| 2015 | HPDC | A Multiplatform Study of I/O Behavior on Petascale Supercomputers. | Huong Luu, Marianne Winslett, William Gropp, Robert B. Ross, Philip H. Carns, Kevin Harms, Prabhat, Surendra Byna, Yushu Yao |
| 2014 | PDP | Scalable Parallel I/O on a Blue Gene/Q Supercomputer Using Compression, Topology-Aware Data Aggregation, and Subfiling. | Huy Bui, Hal Finkel, Venkatram Vishwanath, Salman Habib, Katrin Heitmann, Jason Leigh, Michael E. Papka, Kevin Harms |
| 2014 | SC | A Case for Epidemic Fault Detection and Group Membership in HPC Storage Systems. | Shane Snyder, Philip H. Carns, Jonathan Jenkins, Kevin Harms, Robert B. Ross, Misbah Mubarak, Christopher D. Carothers |
| 2013 | CLUSTER | Toward a unified object storage foundation for scalable storage systems. | Cengiz Karakoyunlu, Dries Kimpe, Philip H. Carns, Kevin Harms, Robert B. Ross, Lee Ward |
| 2012 | SC | A Case for Optimistic Coordination in HPC Storage Systems. | Philip H. Carns, Kevin Harms, Dries Kimpe, Robert B. Ross, Justin M. Wozniak, Lee Ward, Matthew L. Curry, Ruth Klundt, Geoff Danielson, Cengiz Karakoyunlu, John A. Chandy, Bradley Settlemeyer, William Gropp |
| 2010 | HPDC | Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network. | Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Allcock, Peer-Timo Bremer, John Bresnahan, Andrew Cherry, Lisa Childers, Eli Dart, Ian T. Foster, Kevin Harms, Jason Hick, Jason Lee, Michael Link, Jeff Long, Keith Miller, Vijaya Natarajan, Valerio Pascucci, Ken Raffenetti, David Ressman, Dean N. Williams, Loren Wilson, Linda Winkler |
| 2009 | SC | I/O performance challenges at leadership scale. | Samuel Lang, Philip H. Carns, Robert Latham, Robert B. Ross, Kevin Harms, William E. Allcock |