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James Pivarski
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2020 – today
- 2024
- [i19]Ianna Osborne, Jim Pivarski, Jerry (Jiahong) Ling:
Bridging Worlds: Achieving Language Interoperability between Julia and Python in Scientific Computing. CoRR abs/2404.18170 (2024) - [i18]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 abs/2407.14461 (2024) - 2023
- [j2]Jonas Eschle
, Tamás Gál
Potential of the Julia Programming Language for High Energy Physics Computing. Comput. Softw. Big Sci. 7(1): 10 (2023) - [i17]Ianna Osborne, Jim Pivarski:
Awkward to RDataFrame and back. CoRR abs/2302.09860 (2023) - [i16]Aryan Roy, Jim Pivarski:
Using a DSL to read ROOT TTrees faster in Uproot. CoRR abs/2303.02202 (2023) - [i15]Manasvi Goyal, Ianna Osborne, Jim Pivarski:
The Awkward World of Python and C++. CoRR abs/2303.02205 (2023) - [i14]Jonas Eschle, Tamás Gál, Mosè Giordano
Potential of the Julia programming language for high energy physics computing. CoRR abs/2306.03675 (2023) - [i13]Ianna Osborne, Jim Pivarski, Ioana Ifrim, Angus Hollands
Awkward Just-In-Time (JIT) Compilation: A Developer's Experience. CoRR abs/2310.01461 (2023) - 2022
- [c7]Henry Schreiner, Jim Pivarski, Eduardo Rodrigues:
Awkward Packaging: building Scikit-HEP. SciPy 2022: 115-120 - [i12]Aryan Roy, Jim Pivarski, Chad Wells Freer:
An array-oriented Python interface for FastJet. CoRR abs/2202.03911 (2022) - 2021
- [i11]Jim Pivarski, Ianna Osborne, Pratyush Das, David Lange, Peter Elmer:
AwkwardForth: accelerating Uproot with an internal DSL. CoRR abs/2102.13516 (2021) - 2020
- [c6]Henry Schreiner
Boost-histogram: High-Performance Histograms as Objects. SciPy 2020: 63-69 - [c5]Jim Pivarski
Awkward Array: JSON-like data, NumPy-like idioms. SciPy 2020: 78-84 - [i10]Jim Pivarski, Peter Elmer, David Lange:
Awkward Arrays in Python, C++, and Numba. CoRR abs/2001.06307 (2020) - [i9]Nicholas Smith
Coffea - Columnar Object Framework For Effective Analysis. CoRR abs/2008.12712 (2020)
2010 – 2019
- 2019
- [i8]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 abs/1901.07143 (2019) - 2018
- [c4]Michael A. Sevilla, Reza Nasirigerdeh, Carlos Maltzahn, Jeff LeFevre
Tintenfisch: File System Namespace Schemas and Generators. HotStorage 2018 - [i7]Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018) - 2017
- [j1]Maria T. Patterson, Nikolas Anderson, Collin Bennett, Jacob Bruggemann, Robert L. Grossman, Matthew Handy, Vuong Ly, Daniel J. Mandl, Shane Pederson, James Pivarski, Ray Powell
The Matsu Wheel: a reanalysis framework for Earth satellite imagery in data commons. Int. J. Data Sci. Anal. 4(4): 251-264 (2017) - [c3]Jim Pivarski, Peter Elmer, Brian Bockelman
Fast access to columnar, hierarchically nested data via code transformation. IEEE BigData 2017: 253-262 - [i6]Oliver Gutsche
Big Data in HEP: A comprehensive use case study. CoRR abs/1703.04171 (2017) - [i5]Jim Pivarski, Peter Elmer, Brian Bockelman, Zhe Zhang:
Fast Access to Columnar, Hierarchical Data via Code Transformation. CoRR abs/1708.08319 (2017) - [i4]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 abs/1711.00375 (2017) - [i3]Jim Pivarski, David Lange, Thanat Jatuphattharachat:
Toward real-time data query systems in HEP. CoRR abs/1711.01229 (2017) - [i2]Brian Bockelman, Zhe Zhang, Jim Pivarski:
Optimizing ROOT IO For Analysis. CoRR abs/1711.02659 (2017) - 2016
- [c2]Maria T. Patterson, Nikolas Anderson, Collin Bennett, Jacob Bruggemann, Robert L. Grossman, Matthew Handy, Vuong Ly, Daniel J. Mandl, Shane Pederson, James Pivarski
The Matsu Wheel: A Cloud-Based Framework for Efficient Analysis and Reanalysis of Earth Satellite Imagery. BigDataService 2016: 156-165 - [c1]Jim Pivarski, Collin Bennett, Robert L. Grossman:
Deploying Analytics with the Portable Format for Analytics (PFA). KDD 2016: 579-588 - [i1]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 abs/1602.06888 (2016)
Coauthor Index
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