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2020 – today
- 2024
[i12]V. Hewes, Adam Aurisano, Giuseppe Cerati, Jim Kowalkowski, Claire Songhyun Lee, Wei-keng Liao, Daniel Grzenda, Kaushal Gumpula, Xiaohe Zhang:
NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction. CoRR abs/2403.11872 (2024)- 2023
- [c12]Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Jim Kowalkowski, Adam Aurisano, Ankit Agrawal
, Alok N. Choudhary, Wei-Keng Liao:
A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. CCGrid 2023: 71-81 - 2022
- [j5]Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James B. Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. Parallel Comput. 110: 102877 (2022) - [c11]Shivam Patel, Rigden Atsatsang, Kenneth M. Tichauer, Michael H. L. S. Wang, James B. Kowalkowski, Nik Sultana:
In-network fractional calculations using P4 for scientific computing workloads. EuroP4@CoNEXT 2022: 33-38 - 2021
- [i11]Xiangyang Ju, Daniel Murnane, Paolo Calafiura, Nicholas Choma, Sean Conlon, Steven Farrell, Yaoyuan Xu, Maria Spiropulu, Jean-Roch Vlimant, Adam Aurisano, Jeremy Hewes, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Markus Atkinson, Mark S. Neubauer, Gage DeZoort, Savannah Thais, Aditi Chauhan, Alex Schuy, Shih-Chieh Hsu, Alexandra Ballow, Alina Lazar:
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. CoRR abs/2103.06995 (2021) - 2020
- [i10]Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy L. Usher:
Track Seeding and Labelling with Embedded-space Graph Neural Networks. CoRR abs/2007.00149 (2020)
2010 – 2019
- 2019
- [i9]Parag Mhashilkar, Mine Altunay, Eileen Berman, W. David Dagenhart, Stuart Fuess, Burt Holzman, James B. Kowalkowski, Dmitry Litvintsev, Qiming Lu, Alexander Moibenko, Marc F. Paterno, Panagiotis Spentzouris, Steven Timm, Anthony Tiradani, Eric Vaandering, John Hover, Jose Caballero Bejar:
HEPCloud, an Elastic Hybrid HEP Facility using an Intelligent Decision Support System. CoRR abs/1904.08988 (2019) - [i8]James F. Amundson, James Annis, Camille Avestruz, D. Bowring, João Caldeira, Giuseppe Cerati, Chihway L. Chang, Scott Dodelson, D. Elvira, A. Farahi, Krzysztof L. Genser, Lindsey Gray, Oliver Gutsche, Philip C. Harris, Jamie Kinney, James B. Kowalkowski, Rob Kutschke, S. Mrenna, Brian Nord, A. Para, Kevin Pedro, Gabriel N. Perdue, Alexander Scheinker, Panagiotis Spentzouris, J. St. John, Nhan Tran, Shubhendu Trivedi, Laura Trouille, W. L. K. Wu, C. R. Bom:
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan". CoRR abs/1911.05796 (2019) - 2018
- [c10]Parag Mhashilkar, Mine Altunay, William Dagenhart, Stuart Fuess, Burt Holzman, Jim Kowalkowski, Dmitry Litvintsev, Qiming Lu, Alexander Moibenko, Marc F. Paterno, Panagiotis Spentzouris, Steven Timm, Anthony Tiradani:
Intelligently-Automated Facilities Expansion with the HEPCloud Decision Engine. CCGrid 2018: 352-353 - [c9]Matthieu Dorier, Philip H. Carns, Kevin Harms, Robert Latham, Robert B. Ross, Shane Snyder, Justin M. Wozniak, Samuel K. Gutierrez, Robert W. Robey, Brad Settlemyer, Galen M. Shipman, Jérome Soumagne, James B. Kowalkowski, Marc F. Paterno, Saba Sehrish:
Methodology for the Rapid Development of Scalable HPC Data Services. PDSW-DISCS@SC 2018: 76-87 - [i7]Mine Altunay, W. David Dagenhart, Stuart Fuess, Burt Holzman, Jim Kowalkowski, Dmitry Litvintsev, Qiming Lu, Parag Mhashilkar, Alexander Moibenko, Marc F. Paterno, Panagiotis Spentzouris, Steven Timm, Anthony Tiradani:
Intelligently-automated facilities expansion with the HEPCloud Decision Engine. CoRR abs/1806.03224 (2018) - [i6]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 V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas 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 S. 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 Chatham 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 abs/1807.02876 (2018) - 2017
- [c8]Saba Sehrish, Jim Kowalkowski, Marc F. Paterno:
Spark and HPC for High Energy Physics Data Analyses. IPDPS Workshops 2017: 1048-1057 - [c7]Saba Sehrish, James B. Kowalkowski, Marc F. Paterno, Chris Green:
Python and HPC for High Energy Physics Data Analyses. PyHPC@SC 2017: 8:1-8:8 - [i5]Oliver Gutsche, Matteo Cremonesi, Peter Elmer, Bo Jayatilaka, Jim Kowalkowski, Jim Pivarski, Saba Sehrish, Cristina Mantilla Suarez, Alexey Svyatkovskiy, Nhan Tran:
Big Data in HEP: A comprehensive use case study. CoRR abs/1703.04171 (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) - 2016
- [c6]Saba Sehrish, Jim Kowalkowski, Marc F. Paterno:
Exploring the Performance of Spark for a Scientific Use Case. IPDPS Workshops 2016: 1653-1659 - 2015
- [j4]Joe Zuntz, Marc F. Paterno, Elise Jennings, Douglas H. Rudd, Alessandro Manzotti, Scott Dodelson, Sarah Bridle, Saba Sehrish, Jim Kowalkowski:
CosmoSIS: Modular cosmological parameter estimation. Astron. Comput. 12: 45-59 (2015) - [j3]Ravi K. Madduri, Alex A. Rodriguez, Thomas D. Uram, Katrin Heitmann, Tanu Malik, Saba Sehrish, Ryan Chard, Shreyas Cholia, Marc F. Paterno, Jim Kowalkowski, Salman Habib:
PDACS: A Portal for Data Analysis Services for Cosmological Simulations. Comput. Sci. Eng. 17(5): 18-26 (2015) - 2014
- [c5]Ryan Chard, Saba Sehrish, Alex A. Rodriguez, Ravi K. Madduri, Thomas D. Uram, Marc F. Paterno, Katrin Heitmann, Shreyas Cholia, Jim Kowalkowski, Salman Habib:
PDACS: a portal for data analysis services for cosmological simulations. GCE@SC 2014: 30-33 - 2013
- [j2]Jun He, Jim Kowalkowski, Marc F. Paterno, Donald J. Holmgren, James N. Simone, Xian-He Sun:
Layout-aware scientific computing: A case study using the MILC code. J. Comput. Sci. 4(6): 496-506 (2013) - 2012
- [c4]William F. Badgett Jr., Kurt Biery, Chris Green, James B. Kowalkowski, Kaori Maeshima, Marc F. Paterno, Robert M. Roser:
Poster: High-Speed Decision Making on Live Petabyte Data Streams. SC Companion 2012: 1404 - 2011
- [c3]Jun He, Jim Kowalkowski, Marc F. Paterno, Donald J. Holmgren, James N. Simone, Xian-He Sun:
Layout-aware scientific computing: a case study using MILC. ScalA@SC 2011: 21-24
2000 – 2009
- 2008
- [c2]Abhishek Dubey, Sandeep Neema, Jim Kowalkowski, Amitoj Singh:
Scientific Computing Autonomic Reliability Framework. eScience 2008: 352-353 - [c1]Luciano Piccoli, Jim Kowalkowski, James N. Simone, Xian-He Sun, Hui Jin, Donald J. Holmgren, Nirmal Seenu, Amitoj Singh:
Lattice QCD Workflows: A Case Study. eScience 2008: 620-625 - 2005
- [j1]Shikha Ahuja, Ted Bapty, Harry Cheung, Michael Haney, Zbigniew Kalbarczyk, Akhilesh Khanna, Jim Kowalkowski, Derek Messie, Daniel Mossé, Sandeep Neema, Steven Nordstrom, Jae C. Oh, Paul Sheldon, Shweta Shetty, Long Wang, Di Yao:
RTES demo system2004. SIGBED Rev. 2(3): 1-6 (2005) - 2003
- [i3]Jim Kowalkowski:
Understanding and Coping with Hardware and Software Failures in a Very Large Trigger Farm. CoRR cs.DC/0306074 (2003) - [i2]D. Bonham, Gabriele Garzoglio, R. Herber, Jim Kowalkowski, Dmitry Litvintsev, Lee Lueking, Marc F. Paterno, Donald Petravick, Luciano Piccoli, Ruth Pordes, N. Stanfield, Igor Terekhov, J. Trumbo, J. Tseng, Sinisa Veseli, M. Votava, Victoria White, T. Huffman, Stefan Stonjek, K. Waltkins, P. Crosby, D. Waters, R. St. Denis:
Adapting SAM for CDF. CoRR cs.DC/0306112 (2003) - [i1]Herbert Greenlee, Robert Illingworth, Jim Kowalkowski, Anil Kumar, Lee Lueking, Taka Yasuda, Margherita Vittone, Stephen White:
Serving Database Information Using a Flexible Server in a Three Tier Architecture. CoRR cs.DC/0307001 (2003)
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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