Jim Kowalkowski

According to our database, Jim Kowalkowski authored at least 28 papers between 2003 and 2024.

Collaborative distances:

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

2024

NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction.

V. Hewes, Adam Aurisano, Giuseppe Cerati, Jim Kowalkowski, Claire Songhyun Lee, Wei-keng Liao, Daniel Grzenda, Kaushal Gumpula, Xiaohe Zhang

CoRR, 2024

2023

A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows.

Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Jim Kowalkowski, Adam Aurisano, Ankit Agrawal, Alok N. Choudhary, Wei-Keng Liao

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

A case study on parallel HDF5 dataset concatenation for high energy physics data analysis.

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

Parallel Comput., 2022

In-network fractional calculations using P4 for scientific computing workloads.

Shivam Patel, Rigden Atsatsang, Kenneth M. Tichauer, Michael H. L. S. Wang, James B. Kowalkowski, Nik Sultana

Proceedings of the 5th International Workshop on P4 in Europe, 2022

2021

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline.

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

CoRR, 2021

2020

Track Seeding and Labelling with Embedded-space Graph Neural Networks.

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

CoRR, 2020

2019

Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan".

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

CoRR, 2019

HEPCloud, an Elastic Hybrid HEP Facility using an Intelligent Decision Support System.

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

CoRR, 2019

2018

Machine Learning in High Energy Physics Community White Paper.

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

CoRR, 2018

Methodology for the Rapid Development of Scalable HPC Data Services.

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

Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018

Intelligently-Automated Facilities Expansion with the HEPCloud Decision Engine.

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

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

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

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

Python and HPC for High Energy Physics Data Analyses.

Saba Sehrish, James B. Kowalkowski, Marc F. Paterno, Chris Green

Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing, 2017

Spark and HPC for High Energy Physics Data Analyses.

Saba Sehrish, Jim Kowalkowski, Marc F. Paterno

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

Exploring the Performance of Spark for a Scientific Use Case.

Saba Sehrish, Jim Kowalkowski, Marc F. Paterno

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

PDACS: A Portal for Data Analysis Services for Cosmological Simulations.

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

Comput. Sci. Eng., 2015

CosmoSIS: Modular cosmological parameter estimation.

Joe Zuntz, Marc F. Paterno, Elise Jennings, Douglas H. Rudd, Alessandro Manzotti, Scott Dodelson, Sarah Bridle, Saba Sehrish, Jim Kowalkowski

Astron. Comput., 2015

2014

PDACS: a portal for data analysis services for cosmological simulations.

Ryan Chard, Saba Sehrish, Alex A. Rodriguez, Ravi K. Madduri, Thomas D. Uram, Marc F. Paterno, Katrin Heitmann, Shreyas Cholia, Jim Kowalkowski, Salman Habib

Proceedings of the 9th Gateway Computing Environments Workshop, 2014

2013

Layout-aware scientific computing: A case study using the MILC code.

Jun He, Jim Kowalkowski, Marc F. Paterno, Donald J. Holmgren, James N. Simone, Xian-He Sun

J. Comput. Sci., 2013

2012

Poster: High-Speed Decision Making on Live Petabyte Data Streams.

William F. Badgett Jr., Kurt Biery, Chris Green, James B. Kowalkowski, Kaori Maeshima, Marc F. Paterno, Robert M. Roser

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2011

Layout-aware scientific computing: a case study using MILC.

Jun He, Jim Kowalkowski, Marc F. Paterno, Donald J. Holmgren, James N. Simone, Xian-He Sun

Proceedings of the second workshop on Scalable algorithms for large-scale systems, 2011

2008

Lattice QCD Workflows: A Case Study.

Luciano Piccoli, Jim Kowalkowski, James N. Simone, Xian-He Sun, Hui Jin, Donald J. Holmgren, Nirmal Seenu, Amitoj Singh

Proceedings of the Fourth International Conference on e-Science, 2008

Scientific Computing Autonomic Reliability Framework.

Abhishek Dubey, Sandeep Neema, Jim Kowalkowski, Amitoj Singh

Proceedings of the Fourth International Conference on e-Science, 2008

2005

RTES demo system2004.

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

SIGBED Rev., 2005

2003

Serving Database Information Using a Flexible Server in a Three Tier Architecture

Herbert Greenlee, Robert Illingworth, Jim Kowalkowski, Anil Kumar, Lee Lueking, Taka Yasuda, Margherita Vittone, Stephen White

CoRR, 2003

Adapting SAM for CDF

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

CoRR, 2003

Understanding and Coping with Hardware and Software Failures in a Very Large Trigger Farm

Jim Kowalkowski

CoRR, 2003