Peter Elmer

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 19

Top Topics

Lossy Image Compression

High Energy Physics

Top Venues

Comput. Softw. Big Sci.

Publications

Adrian Alan Pol, Ekaterina Govorkova, Sonja Grönroos, Nadezda Chernyavskaya, Philip C. Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer
Knowledge Distillation for Anomaly Detection. CoRR (2023)
Adrian Alan Pol, Ekaterina Govorkova, Sonja Grönroos, Nadezda Chernyavskaya, Philip C. Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer
Knowledge Distillation for Anomaly Detection. ESANN (2023)
Ho Fung Tsoi, Adrian Alan Pol, Vladimir Loncar, Ekaterina Govorkova, Miles D. Cranmer, Sridhara Dasu, Peter Elmer, Philip C. Harris, Isobel Ojalvo, Maurizio Pierini
Symbolic Regression on FPGAs for Fast Machine Learning Inference. CoRR (2023)
Graeme A. Stewart, Peter Elmer, Elizabeth Sexton-Kennedy
The HEP Software Foundation Community. CoRR (2022)
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
Graph Neural Networks for Charged Particle Tracking on FPGAs. Frontiers Big Data 5 (2022)
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
Software Training in HEP. Comput. Softw. Big Sci. 5 (1) (2021)
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
Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs. CoRR (2021)
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 Neubauer, Isobel Ojalvo, Savannah Thais
Graph Neural Networks for Charged Particle Tracking on FPGAs. CoRR (2021)
Jim Pivarski, Ianna Osborne, Pratyush Das, David Lange, Peter Elmer
AwkwardForth: accelerating Uproot with an internal DSL. CoRR (2021)
Gage DeZoort, Savannah Thais, Isobel Ojalvo, Peter Elmer, Vesal Razavimaleki, Javier M. Duarte, Markus Atkinson, Mark Neubauer
Charged particle tracking via edge-classifying interaction networks. CoRR (2021)
Gage DeZoort, Savannah Thais, Javier M. Duarte, Vesal Razavimaleki, Markus Atkinson, Isobel Ojalvo, Mark S. Neubauer, Peter Elmer
Charged Particle Tracking via Edge-Classifying Interaction Networks. Comput. Softw. Big Sci. 5 (1) (2021)
Jim Pivarski, Peter Elmer, David Lange
Awkward Arrays in Python, C++, and Numba. CoRR (2020)
Jim Pivarski, Ianna Osborne, Pratyush Das, Anish Biswas, Peter Elmer
Awkward Array: JSON-like data, NumPy-like idioms. SciPy (2020)
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
Using Big Data Technologies for HEP Analysis. CoRR (2019)
Oliver Gutsche, Matteo Cremonesi, Peter Elmer, Bo Jayatilaka, Jim Kowalkowski, Jim Pivarski, Saba Sehrish, Cristina Mantilla Surez, Alexey Svyatkovskiy, Nhan Tran
Big Data in HEP: A comprehensive use case study. CoRR (2017)
Jim Pivarski, Peter Elmer, Brian Bockelman, Zhe Zhang
Fast Access to Columnar, Hierarchical Data via Code Transformation. CoRR (2017)
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
CMS Analysis and Data Reduction with Apache Spark. CoRR (2017)
Jim Pivarski, Peter Elmer, Brian Bockelman, Zhe Zhang
Fast access to columnar, hierarchically nested data via code transformation. IEEE BigData (2017)
Peter Elmer, Michael Häfner, Toru Tamaki, Shinji Tanaka, René Thaler, Andreas Uhl, Shigeto Yoshida
Compression Impact on LIRE-based CBIR of Colonoscopy Data. Bildverarbeitung für die Medizin (2016)
David Abdurachmanov, Peter Elmer, Giulio Eulisse, Robert Knight
Future Computing Platforms for Science in a Power Constrained Era. CoRR (2015)
Kashif Nizam Khan, Filip Nyback, Zhonghong Ou, Jukka K. Nurminen, Tapio Niemi, Giulio Eulisse, Peter Elmer, David Abdurachmanov
Energy Profiling Using IgProf. CCGRID (2015)
Lothar Bauerdick, Brian Bockelman, Peter Elmer, Stephen Gowdy, Matevz Tadel, Frank Würthwein
Designing Computing System Architecture and Models for the HL-LHC era. CoRR (2015)
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
High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems). CoRR (2015)
Peter Elmer, Artur Lupp, Stefan Sprenger, René Thaler, Andreas Uhl
Exploring Compression Impact on Face Detection Using Haar-like Features. SCIA (2015)
David Abdurachmanov, Alessandro Degano, Peter Elmer, Giulio Eulisse, David Mendez, Shahzad Muzaffar
Optimizing CMS build infrastructure via Apache Mesos. CoRR (2015)
Peter Elmer, Michael Häfner, Toru Tamaki, Shinji Tanaka, René Thaler, Andreas Uhl, Shigeto Yoshida
Impact of Lossy Image Compression on CAD Support Systems for Colonoscopy. CARE@MICCAI (2015)
David Abdurachmanov, Brian Bockelman, Peter Elmer, Giulio Eulisse, Robert Knight, Shahzad Muzaffar
Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi. CoRR (2014)
David Abdurachmanov, Peter Elmer, Giulio Eulisse, Robert Knight, Tapio Niemi, Jukka K. Nurminen, Filip Nyback, Goncalo Pestana, Zhonghong Ou, Kashif Nizam Khan
Techniques and tools for measuring energy efficiency of scientific software applications. CoRR (2014)
David Abdurachmanov, Peter Elmer, Giulio Eulisse, Paola Grosso, Curtis W. Hillegas, Burt Holzman, Sander Klous, Robert Knight, Shahzad Muzaffar
Power-aware applications for scientific cluster and distributed computing. CoRR (2014)
David Abdurachmanov, Peter Elmer, Giulio Eulisse, Shahzad Muzaffar
Initial Explorations of ARM Processors for Scientific Computing. CoRR (2013)
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
Explorations of the Viability of ARM and Xeon Phi for Physics Processing. CoRR (2013)
Kapil Arya, Gene Cooperman, Andrea Dotti, Peter Elmer
Use of Checkpoint-Restart for Complex HEP Software on Traditional Architectures and Intel MIC. CoRR (2013)
Peter Elmer, Salvatore Rappoccio, Kevin Stenson, Peter Wittich
The Need for an R&D and Upgrade Program for CMS Software and Computing. CoRR (2013)
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
Distributed Analysis in CMS. J. Grid Comput. 8 (2) (2010)
Teela Pulliam, Peter Elmer, Alvise Dorigo
Distributed Offline Data Reconstruction in BaBar CoRR (2003)