I/O performance challenges at leadership scale. - Samuel Lang; Philip H. Carns; Robert Latham; Robert B. Ross; Kevin Harms; William E. Allcock (SC, 2009)

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; et al. (HPDC, 2010)

Understanding and Improving Computational Science Storage Access through Continuous Characterization. - Philip H. Carns; Kevin Harms; William E. Allcock; Charles Bacon; Samuel Lang; Robert Latham; Robert B. Ross (ACM Trans. Storage, 2011)

AESOP: Expressing Concurrency in High-Performance System Software. - Dries Kimpe; Philip H. Carns; Kevin Harms; Justin M. Wozniak; Samuel Lang; Robert B. Ross (NAS, 2012)

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; et al. (SC Companion, 2012)

Toward a unified object storage foundation for scalable storage systems. - Cengiz Karakoyunlu; Dries Kimpe; Philip H. Carns; Kevin Harms; Robert B. Ross; Lee Ward (CLUSTER, 2013)

Making Problem Diagnosis Work for Large-Scale, Production Storage Systems. - Michael P. Kasick; Priya Narasimhan; Kevin Harms (LISA, 2013)

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 002; Katrin Heitmann; Jason Leigh; Michael E. Papka; Kevin Harms (PDP, 2014)

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 (PMBS@SC, 2014)

A Multiplatform Study of I/O Behavior on Petascale Supercomputers. - Huong Luu 002; Marianne Winslett; William Gropp; Robert B. Ross; Philip H. Carns; Kevin Harms; Prabhat; Surendra Byna; Yushu Yao (HPDC, 2015)

Impact of data placement on resilience in large-scale object storage systems. - Philip H. Carns; Kevin Harms; John Jenkins; Misbah Mubarak; Robert B. Ross; Christopher D. Carothers (MSST, 2016)

Modular HPC I/O Characterization with Darshan. - Shane Snyder; Philip H. Carns; Kevin Harms; Robert B. Ross; Glenn K. Lockwood; Nicholas J. Wright (ESPT@SC, 2016)

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 (SC, 2017)

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 (PDSW-DISCS@SC, 2017)

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; et al. (FAST, 2018)

Characterization of MPI usage on a production supercomputer. - Sudheer Chunduri; Scott Parker; Pavan Balaji; Kevin Harms; Kalyan Kumaran (SC, 2018)

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; Jérome Soumagne; et al. (PDSW-DISCS@SC, 2018)

Theta: Rapid installation and acceptance of an XC40 KNL system. - Kevin Harms; Ti Leggett; Benjamin S. Allen; Susan Coghlan; Mark R. Fahey; Carissa Holohan; Gordon McPheeters; Paul Rich (Concurr. Comput. Pract. Exp., 2018)

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; Deepthi Srinivasan; Biswaranjan Panda; et al. (ACM Trans. Storage, 2018)

A Generalized Statistics-Based Model for Predicting Network-Induced Variability. - Sudheer Chunduri; Elise Jennings; Kevin Harms; Christopher Knight 001; Scott Parker (PMBS@SC, 2019)

Sequential Codelet Model of Program Execution. A Super-Codelet model based on the Hierarchical Turing Machine. - José Monsalve; Kevin Harms; Kalyan Kumaran; Guang Gao 001 (IPDRM@SC, 2019)

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 (PDSW@SC, 2019)

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 (ICS, 2020)

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 (PDSW@SC, 2020)

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 (PDSW@SC, 2020)

Mochi: Composing Data Services for High-Performance Computing Environments. - Robert B. Ross; George Amvrosiadis; Philip H. Carns; Charles D. Cranor; Matthieu Dorier; Kevin Harms; Greg Ganger; Garth Gibson; Samuel K. Gutierrez; Robert Latham; Robert W. Robey; Dana Robinson; et al. (J. Comput. Sci. Technol., 2020)

Performance Evaluation of Adaptive Routing on Dragonfly-based Production Systems. - Sudheer Chunduri; Kevin Harms; Taylor L. Groves; Peter Mendygral; Justs Zarins; Michèle Weiland; Yasaman Ghadar (IPDPS, 2021)

Interpreting Write Performance of Supercomputer I/O Systems with Regression Models. - Bing Xie; Zilong Tan; Philip H. Carns; Jeffrey S. Chase; Kevin Harms; Jay F. Lofstead; Sarp Oral; Sudharshan S. Vazhkudai; Feiyi Wang (IPDPS, 2021)

A Tunable Implementation of Quality-of-Service Classes for HPC Networks. - Kevin A. Brown; Neil McGlohon; Sudheer Chunduri; Eric Borch; Robert B. Ross; Christopher D. Carothers; Kevin Harms (ISC, 2021)

The SuperCodelet architecture. - Jose Manuel Monsalve Diaz; Kevin Harms; Rafael A. Herrera Guaitero; Diego A. Roa Perdomo; Kalyan Kumaran; Guang R. Gao (ExHET@PPOPP, 2022)

Standardizing complex numbers in SYCL. - Thomas Applencourt; Brice Videau; Jefferson Le Quellec; Amanda S. Dufek; Kevin Harms; Nevin Liber; Bryce Allen; Aiden Belton-Schure (IWOCL, 2023)

Enabling Agile Analysis of I/O Performance Data with PyDarshan. - Jakob Lüttgau; Shane Snyder; Tyler Reddy; Nikolaus Awtrey; Kevin Harms; Jean Luca Bez; Rui Wang; Robert Latham; Philip H. Carns (SC Workshops, 2023)

HIPLZ: Enabling performance portability for exascale systems. - Jisheng Zhao; Colleen Bertoni; Jeffrey Young 001; Kevin Harms; Vivek Sarkar; Brice Videau (Concurr. Comput. Pract. Exp., 2023)

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 (SC Workshops, 2024)

Copper: Cooperative Caching Layer for Scalable Data Loading in Exascale Supercomputers. - Noah Lewis; Kaushik Velusamy; Kevin Harms; Huihuo Zheng (SC Workshops, 2024)