Jim Pivarski

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Programming Language

Satellite Imagery

High Energy Physics

Top Venues

Publications

Ianna Osborne, Jim Pivarski, Jerry (Jiahong) Ling
Bridging Worlds: Achieving Language Interoperability between Julia and Python in Scientific Computing. CoRR (2024)
Manasvi Goyal, Andrea Zonca, Amy Roberts, Jim Pivarski, Ianna Osborne
Describe Data to get Science-Data-Ready Tooling: Awkward as a Target for Kaitai Struct YAML. CoRR (2024)
Ianna Osborne, Jim Pivarski, Ioana Ifrim, Angus Hollands, Henry Schreiner
Awkward Just-In-Time (JIT) Compilation: A Developer's Experience. CoRR (2023)
Jonas Eschle, T. Gal, M. Giordano, P. Gras, Benedikt Hegner, L. Heinrich, U. Hernandez Acosta, S. Kluth, J. Ling, Pere Mato, M. Mikhasenko, A. Moreno Briceño, Jim Pivarski, K. Samaras-Tsakiris, O. Schulz, Graeme A. Stewart, J. Strube, V. Vassilev
Potential of the Julia programming language for high energy physics computing. CoRR (2023)
Jonas Eschle, Tamás Gál, Mosè Giordano, Philippe Gras, Benedikt Hegner, Lukas Heinrich, Uwe Hernandez Acosta, Stefan Kluth, Jerry (Jiahong) Ling, Pere Mato, Mikhail Mikhasenko, Alexander Moreno Briceño, Jim Pivarski, Konstantinos Samaras-Tsakiris, Oliver Schulz, Graeme Andrew Stewart, Jan Strube, Vassil Vassilev
Potential of the Julia Programming Language for High Energy Physics Computing. Comput. Softw. Big Sci. 7 (1) (2023)
Ianna Osborne, Jim Pivarski
Awkward to RDataFrame and back. CoRR (2023)
Aryan Roy, Jim Pivarski
Using a DSL to read ROOT TTrees faster in Uproot. CoRR (2023)
Manasvi Goyal, Ianna Osborne, Jim Pivarski
The Awkward World of Python and C++. CoRR (2023)
Henry Schreiner, Jim Pivarski, Eduardo Rodrigues
Awkward Packaging: building Scikit-HEP. SciPy (2022)
Aryan Roy, Jim Pivarski, Chad Wells Freer
An array-oriented Python interface for FastJet. CoRR (2022)
Jim Pivarski, Ianna Osborne, Pratyush Das, David Lange, Peter Elmer
AwkwardForth: accelerating Uproot with an internal DSL. CoRR (2021)
Nicholas Smith, Lindsey Gray, Matteo Cremonesi, Bo Jayatilaka, Oliver Gutsche, Allison Hall, Kevin Pedro, Maria Acosta Flechas, Andrew Melo, Stefano Belforte, Jim Pivarski
Coffea - Columnar Object Framework For Effective Analysis. CoRR (2020)
Henry Schreiner, Hans Dembinski, Shuo Liu, Jim Pivarski
Boost-histogram: High-Performance Histograms as Objects. SciPy (2020)
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)
Michael A. Sevilla, Reza Nasirigerdeh, Carlos Maltzahn, Jeff LeFevre, Noah Watkins, Peter Alvaro, Margaret Lawson, Jay F. Lofstead, Jim Pivarski
Tintenfisch: File System Namespace Schemas and Generators. HotStorage (2018)
Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Alexander Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata
Machine Learning in High Energy Physics Community White Paper. CoRR (2018)
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)
Brian Bockelman, Zhe Zhang, Jim Pivarski
Optimizing ROOT IO For Analysis. CoRR (2017)
Jim Pivarski, David Lange, Thanat Jatuphattharachat
Toward real-time data query systems in HEP. 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)
Jim Pivarski, Collin Bennett, Robert L. Grossman
Deploying Analytics with the Portable Format for Analytics (PFA). KDD (2016)
Maria T. Patterson, Nikolas Anderson, Collin Bennett, Jacob Bruggemann, Robert L. Grossman, Matthew Handy, Vuong Ly, Dan Mandl, Shane Pederson, Jim Pivarski, Ray Powell, Jonathan Spring, Walt Wells
The Matsu Wheel: A Cloud-based Framework for Efficient Analysis and Reanalysis of Earth Satellite Imagery. CoRR (2016)