Distributed Offline Data Reconstruction in BaBar - Teela Pulliam; Peter Elmer; Alvise Dorigo (CoRR, 2003)

Distributed Analysis in CMS. - Alessandra Fanfani; M. Anzar Afaq; Jose Afonso Sanches; Julia Andreeva; Giuseppe Bagliesi; Lothar Bauerdick; Stefano Belforte; Patricia Bittencourt Sampaio; Kenneth Bloom; Barry Blumenfeld; Daniele Bonacorsi; Chris Brew; et al. (J. Grid Comput., 2010)

Explorations of the Viability of ARM and Xeon Phi for Physics Processing. - David Abdurachmanov; Kapil Arya; Josh Bendavid; Tommaso Boccali; Gene Cooperman; Andrea Dotti; Peter Elmer; Giulio Eulisse; Francesco Giacomini; Christopher D. Jones; Matteo Manzali; Shahzad Muzaffar (CoRR, 2013)

Initial Explorations of ARM Processors for Scientific Computing. - David Abdurachmanov; Peter Elmer; Giulio Eulisse; Shahzad Muzaffar (CoRR, 2013)

Use of Checkpoint-Restart for Complex HEP Software on Traditional Architectures and Intel MIC. - Kapil Arya; Gene Cooperman; Andrea Dotti; Peter Elmer (CoRR, 2013)

The Need for an R&D and Upgrade Program for CMS Software and Computing. - Peter Elmer; Salvatore Rappoccio; Kevin Stenson; Peter Wittich (CoRR, 2013)

Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi. - David Abdurachmanov; Brian Bockelman; Peter Elmer; Giulio Eulisse; Robert Knight; Shahzad Muzaffar (CoRR, 2014)

Power-aware applications for scientific cluster and distributed computing. - David Abdurachmanov; Peter Elmer; Giulio Eulisse; Paola Grosso; Curtis W. Hillegas; Burt Holzman; Sander Klous; Robert Knight; Shahzad Muzaffar (CoRR, 2014)

Techniques and tools for measuring energy efficiency of scientific software applications. - David Abdurachmanov; Peter Elmer; Giulio Eulisse; Robert Knight; Tapio Niemi; Jukka K. Nurminen; Filip Nyback; Goncalo Pestana; Zhonghong Ou; Kashif Nizam Khan (CoRR, 2014)

Energy Profiling Using IgProf. - Kashif Nizam Khan; Filip Nyback; Zhonghong Ou; Jukka K. Nurminen; Tapio Niemi; Giulio Eulisse; Peter Elmer; David Abdurachmanov (CCGRID, 2015)

Impact of Lossy Image Compression on CAD Support Systems for Colonoscopy. - Peter Elmer; Michael Häfner; Toru Tamaki; Shinji Tanaka; René Thaler; Andreas Uhl; Shigeto Yoshida (CARE@MICCAI, 2015)

Exploring Compression Impact on Face Detection Using Haar-like Features. - Peter Elmer; Artur Lupp; Stefan Sprenger 002; René Thaler; Andreas Uhl (SCIA, 2015)

Optimizing CMS build infrastructure via Apache Mesos. - David Abdurachmanov; Alessandro Degano; Peter Elmer; Giulio Eulisse; David Mendez; Shahzad Muzaffar (CoRR, 2015)

Future Computing Platforms for Science in a Power Constrained Era. - David Abdurachmanov; Peter Elmer; Giulio Eulisse; Robert Knight (CoRR, 2015)

Designing Computing System Architecture and Models for the HL-LHC era. - Lothar Bauerdick; Brian Bockelman; Peter Elmer; Stephen Gowdy; Matevz Tadel; Frank Würthwein (CoRR, 2015)

High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems). - Salman Habib 002; Robert Roser; Tom LeCompte; Zach Marshall; Anders Borgland; Brett Viren; Peter Nugent; Makoto Asai; Lothar Bauerdick; Hal Finkel; Steven Gottlieb; Stefan Hoeche; et al. (CoRR, 2015)

Compression Impact on LIRE-based CBIR of Colonoscopy Data. - Peter Elmer; Michael Häfner; Toru Tamaki; Shinji Tanaka; René Thaler; Andreas Uhl; Shigeto Yoshida (Bildverarbeitung für die Medizin, 2016)

Fast access to columnar, hierarchically nested data via code transformation. - Jim Pivarski; Peter Elmer; Brian Bockelman; Zhe Zhang 003 (IEEE BigData, 2017)

Big Data in HEP: A comprehensive use case study. - Oliver Gutsche; Matteo Cremonesi; Peter Elmer; Bo Jayatilaka; Jim Kowalkowski; Jim Pivarski; Saba Sehrish; Cristina Mantilla Suarez; Alexey Svyatkovskiy; Nhan Tran (CoRR, 2017)

Fast Access to Columnar, Hierarchical Data via Code Transformation. - Jim Pivarski; Peter Elmer; Brian Bockelman; Zhe Zhang 003 (CoRR, 2017)

CMS Analysis and Data Reduction with Apache Spark. - Oliver Gutsche; Luca Canali; Illia Cremer; Matteo Cremonesi; Peter Elmer; Ian Fisk; Maria Girone; Bo Jayatilaka; Jim Kowalkowski; Viktor Khristenko; Evangelos Motesnitsalis; Jim Pivarski; et al. (CoRR, 2017)

Using Big Data Technologies for HEP Analysis. - Matteo Cremonesi; Claudio Bellini; Bianny Bian; Luca Canali; Vasileios Dimakopoulos; Peter Elmer; Ian Fisk; Maria Girone; Oliver Gutsche; Siew-Yan Hoh; Bo Jayatilaka; Viktor Khristenko; et al. (CoRR, 2019)

Awkward Array: JSON-like data, NumPy-like idioms. - Jim Pivarski; Ianna Osborne; Pratyush Das 001; Anish Biswas; Peter Elmer (SciPy, 2020)

Awkward Arrays in Python, C++, and Numba. - Jim Pivarski; Peter Elmer; David Lange (CoRR, 2020)

Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs. - Giuseppe Cerati; Peter Elmer; Brian J. Gravelle; Matti J. Kortelainen; Vyacheslav Krutelyov; Steven Lantz; Mario Masciovecchio; Kevin McDermott; Boyana Norris; Allison Reinsvold Hall; Micheal Reid; Daniel Riley; et al. (CoRR, 2021)

AwkwardForth: accelerating Uproot with an internal DSL. - Jim Pivarski; Ianna Osborne; Pratyush Das 001; David Lange; Peter Elmer (CoRR, 2021)

Graph Neural Networks for Charged Particle Tracking on FPGAs. - Abdelrahman Elabd; Vesal Razavimaleki; Shi-Yu Huang; Javier M. Duarte; Markus Atkinson; Gage DeZoort; Peter Elmer; Jin-Xuan Hu; Shih-Chieh Hsu; Bo-Cheng Lai; Mark S. Neubauer; Isobel Ojalvo; et al. (CoRR, 2021)

Charged Particle Tracking via Edge-Classifying Interaction Networks. - Gage DeZoort; Savannah Thais; Javier M. Duarte; Vesal Razavimaleki; Markus Atkinson; Isobel Ojalvo; Mark S. Neubauer; Peter Elmer (Comput. Softw. Big Sci., 2021)

Software Training in HEP. - Sudhir Malik; Samuel Meehan; Kilian Lieret; Meirin Oan Evans; Michel Hernández Villanueva; Daniel S. Katz; Graeme A. Stewart; Peter Elmer; Sizar Aziz; Matthew Bellis; Riccardo Maria Bianchi; Gianluca Bianco; et al. (Comput. Softw. Big Sci., 2021)

The HEP Software Foundation Community. - Graeme A. Stewart; Peter Elmer; Elizabeth Sexton-Kennedy (CoRR, 2022)

Graph Neural Networks for Charged Particle Tracking on FPGAs. - Abdelrahman Elabd; Vesal Razavimaleki; Shi-Yu Huang; Javier M. Duarte; Markus Atkinson; Gage DeZoort; Peter Elmer; Scott Hauck; Jin-Xuan Hu; Shih-Chieh Hsu; Bo-Cheng Lai; Mark S. Neubauer; et al. (Frontiers Big Data, 2022)

Knowledge Distillation for Anomaly Detection. - Adrian Alan Pol; Ekaterina Govorkova; Sonja Grönroos; Nadezda Chernyavskaya; Philip C. Harris; Maurizio Pierini; Isobel Ojalvo; Peter Elmer (ESANN, 2023)

Symbolic Regression on FPGAs for Fast Machine Learning Inference. - Ho Fung Tsoi; Adrian Alan Pol; Vladimir Loncar; Ekaterina Govorkova; Miles D. Cranmer; Sridhara Dasu; Peter Elmer; Philip C. Harris; Isobel Ojalvo; Maurizio Pierini (CoRR, 2023)

Training and onboarding initiatives in high energy physics experiments. - Allison Reinsvold Hall; Nicole Skidmore; Gabriele Benelli; Ben Carlson; Claire David; Jonathan Davies; Wouter Deconinck; David Demuth; Peter Elmer; Rocky Bala Garg; Stephan Hageböck; Killian Lieret; et al. (Frontiers Big Data, 2025)

Analysis Facilities for the HL-LHC White Paper. - Diego Ciangottini; Alessandra Forti; Lukas Heinrich; Nicola Skidmore; C. Alpigiani; M. Aly; D. Benjamin; B. Bockelman; L. Bryant; J. Catmore; M. D'Alfonso; Antonio Delgado Peris; et al. (Comput. Softw. Big Sci., 2025)