Extreme Data Science at the National Energy Research Scientific Computing (NERSC) Center. - Sudip S. Dosanjh; Shane Canon; Jack Deslippe; Kjiersten Fagnan; Richard A. Gerber; Lisa Gerhardt; Jason Hick; Douglas Jacobsen; David Skinner; Nicholas J. Wright (PARCO, 2013)

Cori: A Pre-Exascale Supercomputer for Big Data and HPC Applications. - Nicholas J. Wright; Sudip S. Dosanjh; Allison K. Andrews; Katerina B. Antypas; Brent Draney; Shane Canon; Shreyas Cholia; Christopher S. Daley; Kirsten M. Fagnan; Richard A. Gerber; Lisa Gerhardt; Larry Pezzaglia; et al. (High Performance Computing Workshop, 2014)

Adventures in Antarctic Computing, or How I Learned to Stop Worrying and Love the Neutrino. - Lisa Gerhardt; Juan Carlos Díaz-Vélez; Spencer R. Klein (Computer, 2014)

The IceProd framework: Distributed data processing for the IceCube neutrino observatory. - Mark G. Aartsen; Rasha U. Abbasi; Markus Ackermann 003; Jenni Adams; Juan Antonio Aguilar Sánchez; Markus Ahlers; David Altmann; Carlos A. Argüelles Delgado; Jan Auffenberg; Xinhua Bai; Michael F. Baker; Steven W. Barwick; et al. (J. Parallel Distributed Comput., 2015)

Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies. - Alex Gittens; Aditya Devarakonda; Evan Racah; Michael F. Ringenburg; Lisa Gerhardt; Jey Kottalam; Jialin Liu 002; Kristyn J. Maschhoff; Shane Canon; Jatin Chhugani; Pramod Sharma; Jiyan Yang; et al. (IEEE BigData, 2016)

Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies. - Alex Gittens; Aditya Devarakonda; Evan Racah; Michael F. Ringenburg; Lisa Gerhardt; Jey Kottalam; Jialin Liu 002; Kristyn J. Maschhoff; Shane Canon; Jatin Chhugani; Pramod Sharma; Jiyan Yang; et al. (CoRR, 2016)

Graph Neural Networks for IceCube Signal Classification. - Nicholas Choma; Federico Monti; Lisa Gerhardt; Tomasz Palczewski; Zahra Ronaghi; Prabhat; Wahid Bhimji; Michael M. Bronstein; Spencer R. Klein; Joan Bruna (ICMLA, 2018)

Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. - Alex Gittens; Kai Rothauge; Shusen Wang; Michael W. Mahoney; Lisa Gerhardt; Prabhat; Jey Kottalam; Michael F. Ringenburg; Kristyn J. Maschhoff (KDD, 2018)

Enabling Continuous Testing of HPC Systems Using ReFrame. - Vasileios Karakasis; Theofilos Manitaras; Victor Holanda Rusu; Rafael Sarmiento-Pérez; Christopher Bignamini; Matthias Kraushaar; Andreas Jocksch; Samuel Omlin; Guilherme Peretti-Pezzi; João P. S. C. Augusto; Brian Friesen; Yun (Helen) He; et al. (HUST/SE-HER/WIHPC@SC, 2019)

A Quantitative Approach to Architecting All-Flash Lustre File Systems. - Glenn K. Lockwood; Kirill Lozinskiy; Lisa Gerhardt; Ravi Cheema; Damian Hazen; Nicholas J. Wright (ISC Workshops, 2019)

Alchemist: An Apache Spark ⇔ MPI interface. - Alex Gittens; Kai Rothauge; Shusen Wang; Michael W. Mahoney; Jey Kottalam; Lisa Gerhardt; Prabhat; Michael F. Ringenburg; Kristyn J. Maschhoff (Concurr. Comput. Pract. Exp., 2019)

Cross-facility science with the Superfacility Project at LBNL. - Bjoern Enders; Debbie Bard; Cory Snavely; Lisa Gerhardt; Jason Lee 001; Becci Totzke; Katie Antypas; Suren Byna; Ravi Cheema; Shreyas Cholia; Mark R. Day; Aditi Gaur; et al. (XLOOP@SC, 2020)

ALS Share, a Lightweight Data Sharing Service for a Synchrotron Radiation Facility. - Soren Bear; Dula Parkinson; Lisa Gerhardt; Mel Sibony; Bjoern Enders (XLOOP@SC, 2021)

The LBNL Superfacility Project Report. - Deborah Bard; Cory Snavely; Lisa Gerhardt; Jason Lee 001; Becci Totzke; Katie Antypas; William Arndt; Johannes P. Blaschke; Suren Byna; Ravi Cheema; Shreyas Cholia; Mark R. Day; et al. (CoRR, 2022)

Optimizing Checkpoint-Restart Mechanisms for HPC with DMTCP in Containers at NERSC. - Madan Timalsina; Lisa Gerhardt; Nicholas Tyler; Johannes P. Blaschke; William Arndt (CoRR, 2024)

Architecture and performance of Perlmutter's 35 PB ClusterStor E1000 all-flash file system. - Glenn K. Lockwood; Alberto Chiusole; Lisa Gerhardt; Kirill Lozinskiy; David Paul; Nicholas J. Wright (Concurr. Comput. Pract. Exp., 2024)