Adapting SAM for CDF - D. Bonham; Gabriele Garzoglio; R. Herber; Jim Kowalkowski; Dmitry Litvintsev; Lee Lueking; Marc F. Paterno; Donald Petravick; Luciano Piccoli; Ruth Pordes; N. Stanfield; Igor Terekhov; et al. (CoRR, 2003)

Layout-aware scientific computing: a case study using MILC. - Jun He; Jim Kowalkowski; Marc F. Paterno; Donald J. Holmgren; James N. Simone; Xian-He Sun (ScalA@SC, 2011)

Poster: High-Speed Decision Making on Live Petabyte Data Streams. - William F. Badgett Jr.; Kurt Biery; Chris Green; James B. Kowalkowski; Kaori Maeshima; Marc F. Paterno; Robert M. Roser (SC Companion, 2012)

Layout-aware scientific computing: A case study using the MILC code. - Jun He; Jim Kowalkowski; Marc F. Paterno; Donald J. Holmgren; James N. Simone; Xian-He Sun (J. Comput. Sci., 2013)

PDACS: a portal for data analysis services for cosmological simulations. - Ryan Chard; Saba Sehrish; Alex A. Rodriguez; Ravi K. Madduri; Thomas D. Uram; Marc F. Paterno; Katrin Heitmann; Shreyas Cholia; Jim Kowalkowski; Salman Habib 002 (GCE@SC, 2014)

CosmoSIS: Modular cosmological parameter estimation. - Joe Zuntz; Marc F. Paterno; Elise Jennings; Douglas H. Rudd; Alessandro Manzotti; Scott Dodelson; Sarah Bridle; Saba Sehrish; Jim Kowalkowski (Astron. Comput., 2015)

PDACS: A Portal for Data Analysis Services for Cosmological Simulations. - Ravi K. Madduri; Alex A. Rodriguez; Thomas D. Uram; Katrin Heitmann; Tanu Malik; Saba Sehrish; Ryan Chard; Shreyas Cholia; Marc F. Paterno; Jim Kowalkowski; Salman Habib 002 (Comput. Sci. Eng., 2015)

Exploring the Performance of Spark for a Scientific Use Case. - Saba Sehrish; Jim Kowalkowski; Marc F. Paterno (IPDPS Workshops, 2016)

Spark and HPC for High Energy Physics Data Analyses. - Saba Sehrish; Jim Kowalkowski; Marc F. Paterno (IPDPS Workshops, 2017)

Python and HPC for High Energy Physics Data Analyses. - Saba Sehrish; James B. Kowalkowski; Marc F. Paterno; Chris Green (PyHPC@SC, 2017)

Intelligently-Automated Facilities Expansion with the HEPCloud Decision Engine. - Parag Mhashilkar; Mine Altunay; William Dagenhart; Stuart Fuess; Burt Holzman; Jim Kowalkowski; Dmitry Litvintsev; Qiming Lu; Alexander Moibenko; Marc F. Paterno; Panagiotis Spentzouris; Steven Timm; et al. (CCGrid, 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)

Sparse Data Management in HDF5. - John Mainzer; Neil Fortner; Gerd Heber; Elena Pourmal; Quincey Koziol; Suren Byna; Marc F. Paterno (XLOOP@SC, 2019)

HEPCloud, an Elastic Hybrid HEP Facility using an Intelligent Decision Support System. - Parag Mhashilkar; Mine Altunay; Eileen Berman; W. David Dagenhart; Stuart Fuess; Burt Holzman; James B. Kowalkowski; Dmitry Litvintsev; Qiming Lu; Alexander Moibenko; Marc F. Paterno; Panagiotis Spentzouris; et al. (CoRR, 2019)

PAGANI: a parallel adaptive GPU algorithm for numerical integration. - Ioannis Sakiotis; Kamesh Arumugam; Marc F. Paterno; Desh Ranjan; Balsa Terzic; Mohammad Zubair (SC, 2021)

PAGANI: A Parallel Adaptive GPU Algorithm for Numerical. - Ioannis Sakiotis; Kamesh Arumugam; Marc F. Paterno; Desh Ranjan; Balsa Terzic; Mohammad Zubair (CoRR, 2021)

m-Cubes: An Efficient and Portable Implementation of Multi-dimensional Integration for GPUs. - Ioannis Sakiotis; Kamesh Arumugam; Marc F. Paterno; Desh Ranjan; Balsa Terzic; Mohammad Zubair (ISC, 2022)

A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis. - Sunwoo Lee 001; Kaiyuan Hou; Kewei Wang 002; Saba Sehrish; Marc F. Paterno; James Kowalkowski; Quincey Koziol; Robert B. Ross; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (CoRR, 2022)

A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. - Sunwoo Lee 001; Kaiyuan Hou; Kewei Wang 002; Saba Sehrish; Marc F. Paterno; James B. Kowalkowski; Quincey Koziol; Robert B. Ross; Ankit Agrawal 001; Alok N. Choudhary; Wei-keng Liao (Parallel Comput., 2022)

Efficient GPU Implementation of Automatic Differentiation for Computational Fluid Dynamics. - Mohammad Zubair; Desh Ranjan; Aaron Walden; Gabriel Nastac; Eric J. Nielsen; Boris Diskin; Marc F. Paterno; Samuel Jung; Joshua Hoke Davis (HiPC, 2023)

HEPnOS: a Specialized Data Service for High Energy Physics Analysis. - Sajid Ali; Steven Calvez; Philip H. Carns; Matthieu Dorier; Pengfei Ding; James Kowalkowski; Robert Latham; Andrew Norman; Marc F. Paterno; Robert B. Ross; Saba Sehrish; Shane Snyder; et al. (IPDPS Workshops, 2023)

Porting Numerical Integration Codes from CUDA to oneAPI: A Case Study. - Ioannis Sakiotis; Kamesh Arumugam; Marc F. Paterno; Desh Ranjan; Balsa Terzic; Mohammad Zubair (ISC, 2023)