Peter Elmer

According to our database, Peter Elmer authored at least 33 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Knowledge Distillation for Anomaly Detection.

Adrian Alan Pol, Ekaterina Govorkova, Sonja Grönroos, Nadezda Chernyavskaya, Philip C. Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer

CoRR, 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

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, Isobel Ojalvo, Savannah Thais, Matthew Trahms

Frontiers Big Data, 2022

The HEP Software Foundation Community.

Graeme A. Stewart, Peter Elmer, Elizabeth Sexton-Kennedy

CoRR, 2022

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, Johan Sebastian Bonilla, Angela Burger, Jackson Burzynski, David Chamont, Matthew Feickert, Philipp Gadow, Bernhard Manfred Gruber, Daniel Guest, Stephan Hageboeck, Lukas Heinrich, Maximilian M. Horzela, Marc Huwiler, Clemens Lange, Konstantin Lehmann, Ke Li, Devdatta Majumder, Judita Mamuzic, Kevin Nelson, Robin Newhouse, Emery Nibigira, Scarlet Norberg, Arturo Sánchez Pineda, Mason Proffitt, Brendan Regnery, Amber Roepe, Stefan Roiser, Henry Schreiner, Oksana Shadura, Giordon Stark, Stephen Nicholas Swatman, Savannah Thais, Andrea Valassi, Stefan Wunsch, David Yakobovitch, Siqi Yuan

Comput. Softw. Big Sci., 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

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, Savannah Thais

CoRR, 2021

AwkwardForth: accelerating Uproot with an internal DSL.

Jim Pivarski, Ianna Osborne, Pratyush Das, David Lange, Peter Elmer

CoRR, 2021

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 Kortelainen, Vyacheslav Krutelyov, Steven Lantz, Mario Masciovecchio, Kevin McDermott, Boyana Norris, Allison Reinsvold Hall, Micheal Reid, Daniel Riley, Matevz Tadel, Peter Wittich, Bei Wang, Frank Würthwein, Avraham Yagil

CoRR, 2021

2020

Awkward Arrays in Python, C++, and Numba.

Jim Pivarski, Peter Elmer, David Lange

CoRR, 2020

Awkward Array: JSON-like data, NumPy-like idioms.

Jim Pivarski, Ianna Osborne, Pratyush Das, Anish Biswas, Peter Elmer

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2019

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, Andrea Luiselli, Andrew Melo, Evangelos Motesnitsalis, Dominick Olivito, Jacopo Pazzini, Jim Pivarski, Alexey Svyatkovskiy, Marco Zanetti

CoRR, 2019

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, Saba Sehrish, Kacper Surdy, Alexey Svyatkovskiy

CoRR, 2017

Fast Access to Columnar, Hierarchical Data via Code Transformation.

Jim Pivarski, Peter Elmer, Brian Bockelman, Zhe Zhang

CoRR, 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, hierarchically nested data via code transformation.

Jim Pivarski, Peter Elmer, Brian Bockelman, Zhe Zhang

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Compression Impact on LIRE-based CBIR of Colonoscopy Data.

Peter Elmer, Michael Häfner, Toru Tamaki, Shinji Tanaka, René Thaler, Andreas Uhl, Shigeto Yoshida

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015

High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems).

Salman Habib, Robert Roser, Tom LeCompte, Zach Marshall, Anders Borgland, Brett Viren, Peter Nugent, Makoto Asai, Lothar Bauerdick, Hal Finkel, Steven Gottlieb, Stefan Hoeche, Paul Sheldon, Jean-Luc Vay, Peter Elmer, Michael Kirby, Simon J. Patton, Maxim Potekhin, Brian Yanny, Paolo Calafiura, Eli Dart, Oliver Gutsche, Taku Izubuchi, Adam Lyon, Don Petravick

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

Future Computing Platforms for Science in a Power Constrained Era.

David Abdurachmanov, Peter Elmer, Giulio Eulisse, Robert Knight

CoRR, 2015

Optimizing CMS build infrastructure via Apache Mesos.

David Abdurachmanov, Alessandro Degano, Peter Elmer, Giulio Eulisse, David Mendez, Shahzad Muzaffar

CoRR, 2015

Exploring Compression Impact on Face Detection Using Haar-like Features.

Peter Elmer, Artur Lupp, Stefan Sprenger, René Thaler, Andreas Uhl

Proceedings of the Image Analysis - 19th Scandinavian Conference, 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

Proceedings of the Computer-Assisted and Robotic Endoscopy - Second International Workshop, 2015

Energy Profiling Using IgProf.

Kashif Nizam Khan, Filip Nyback, Zhonghong Ou, Jukka K. Nurminen, Tapio Niemi, Giulio Eulisse, Peter Elmer, David Abdurachmanov

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

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

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

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

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

Use of Checkpoint-Restart for Complex HEP Software on Traditional Architectures and Intel MIC.

Kapil Arya, Gene Cooperman, Andrea Dotti, Peter Elmer

CoRR, 2013

Initial Explorations of ARM Processors for Scientific Computing.

David Abdurachmanov, Peter Elmer, Giulio Eulisse, Shahzad Muzaffar

CoRR, 2013

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

2010

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, Marco Calloni, Daniele Cesini, Mattia Cinquilli, Giuseppe Codispoti, Jorgen D'Hondt, Liang Dong, Danilo N. Dongiovanni, Giacinto Donvito, David Dykstra, Erik Edelmann, Ricky Egeland, Peter Elmer, Giulio Eulisse, Dave Evans, Federica Fanzago, Fabio Farina, Derek Feichtinger, Ian Fisk, Josep Flix, Claudio Grandi, Yuyi Guo, Kalle Happonen, José M. Hernández, Chih-Hao Huang, Kejing Kang, Edward Karavakis, Matthias Kasemann, Carlos Kavka, Akram Khan, Bockjoo Kim, Jukka Klem, Jesper Koivumäki, Thomas Kress, Peter Kreuzer, Tibor Kurca, Valentin Kuznetsov, Stefano Lacaprara, Kati Lassila-Perini, James Letts, Tomas Lindén, Lee Lueking, Joris Maes, Nicolò Magini, Gerhild Maier, Patricia McBride, Simon Metson, Vincenzo Miccio, Sanjay Padhi, Haifeng Pi, Hassen Riahi, Daniel Riley, Paul Rossman, Pablo Saiz, Andrea Sartirana, Andrea Sciabà, Vijay Sekhri, Daniele Spiga, Lassi A. Tuura, Eric Vaandering, Lukas Vanelderen, Petra Van Mulders, Aresh Vedaee, Ilaria Villella, Eric Wicklund, Tony Wildish, Christoph Wissing, Frank Würthwein

J. Grid Comput., 2010

2003

Distributed Offline Data Reconstruction in BaBar

Teela Pulliam, Peter Elmer, Alvise Dorigo

CoRR, 2003