Kevin Pedro

32 papers Journal 30Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Analysis Facilities for the HL-LHC White Paper.
Comput. Softw. Big Sci.
Diego Ciangottini, Alessandra Forti, Lukas Heinrich, Nicola Skidmore, C. Alpigiani, M. Aly, D. Benjamin, B. Bockelman, L. Bryant, J. Catmore, M. D'Alfonso, Antonio Delgado Peris, Caterina Doglioni, G. Duckeck, Peter Elmer, Jonas Eschle, Matthew Feickert, J. Frost, Robert W. Gardner, Vincent Garonne, M. Giffels, J. Gooding, E. Gramstad, Lindsey Gray, Benedikt Hegner, A. Held, José M. Hernández, Burt Holzman, F. Hu, Brij Kishor Jashal, D. Kondratyev, Evangelos Kourlitis, Luke Kreczko, I. Krommydas, T. Kuhr, Eric Lancon, Clemens Lange, David Lange, J. Lange, P. Lenzi, Tomas Lindén, Verena Ingrid Martinez Outschoorn, Shawn McKee, J. F. Molina, Mark S. Neubauer, A. Novak, Ianna Osborne, Farid Ould-Saada, Adela Pagès-Bernaus, Kevin Pedro, Antonio Perez-Calero Yzquierdo, S. Piperov, James Pivarski, Eduardo Rodrigues, Niladri Sahoo, Andrea Sciabà, M. Schulz, L. Sexton-Kennedy, Oksana Shadura, Tibor Simko, Nicholas Smith, Daniele Spiga, Giordon Stark, Graeme A. Stewart, Ilija Vukotic, Gordon Watts
2025 J jnl
Track reconstruction as a service for collider physics.
CoRR
Haoran Zhao, Yuan-Tang Chou, Yao Yao, Xiangyang Ju, Yongbin Feng, William Patrick McCormack, Miles Cochran-Branson, Jan-Frederik Schulte, Miaoyuan Liu, Javier M. Duarte, Philip Harris, Shih-Chieh Hsu, Kevin Pedro, Nhan Tran
2024 J jnl
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.
CoRR
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R. Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang
2024 J jnl
Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server.
Comput. Softw. Big Sci.
Claire Savard, Nicholas Manganelli, Burt Holzman, Lindsey Gray, Alexx Perloff, Kevin Pedro, Kevin Stenson, Keith Ulmer
2023 J jnl
Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing.
CoRR
Tejin Cai, Kenneth Herner, Tingjun Yang, Michael Wang, Maria Acosta Flechas, Philip C. Harris, Burt Holzman, Kevin Pedro, Nhan Tran
2023 J jnl
Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing.
Comput. Softw. Big Sci.
Tejin Cai, Kenneth Herner, Tingjun Yang, Michael Wang, Maria Acosta Flechas, Philip C. Harris, Burt Holzman, Kevin Pedro, Nhan Tran
2023 J jnl
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection.
CoRR
Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
2023 J jnl
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection.
Mach. Learn. Sci. Technol.
Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
2022 J jnl
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification.
Mach. Learn. Sci. Technol.
Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
2022 J jnl
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation.
CoRR
Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner
2022 J jnl
Physics Community Needs, Tools, and Resources for Machine Learning.
CoRR
Philip C. Harris, Erik Katsavounidis, William Patrick McCormack, Dylan S. Rankin, Yongbin Feng, Abhijith Gandrakota, Christian Herwig, Burt Holzman, Kevin Pedro, Nhan Tran, Tingjun Yang, Jennifer Ngadiuba, Michael Coughlin, Scott Hauck, Shih-Chieh Hsu, Elham E Khoda, Deming Chen, Mark S. Neubauer, Javier M. Duarte, Georgia Karagiorgi, Mia Liu
2022 J jnl
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection.
CoRR
Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
2021 J jnl
Autoencoders for Semivisible Jet Detection.
CoRR
Florencia Canelli, Annapaola de Cosa, Luc Le Pottier, Jeremi Niedziela, Kevin Pedro, Maurizio Pierini
2021 J jnl
Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml.
Mach. Learn. Sci. Technol.
Jennifer Ngadiuba, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Sheila Sagear, Zhenbin Wu, Duc Hoang
2021 J jnl
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification.
CoRR
Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
2021 J jnl
Fast convolutional neural networks on FPGAs with hls4ml.
CoRR
Thea Aarrestad, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang
2021 J jnl
Fast convolutional neural networks on FPGAs with hls4ml.
Mach. Learn. Sci. Technol.
Thea Aarrestad, Vladimir Loncar, Nicolò Ghielmetti, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang
2021 J jnl
GPU coprocessors as a service for deep learning inference in high energy physics.
Mach. Learn. Sci. Technol.
Jeffrey D. Krupa, Kelvin Lin, Maria Acosta Flechas, Jack Dinsmore, Javier M. Duarte, Philip C. Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Thomas Klijnsma, Mia Liu, Kevin Pedro, Dylan S. Rankin, Natchanon Suaysom, Matt Trahms, Nhan Tran
2021 J jnl
GeantV.
Comput. Softw. Big Sci.
Guilherme Amadio, A. Ananya, John Apostolakis, Marilena Bandieramonte, S. Banerjee, Abhijit Bhattacharyya, Calebe P. Bianchini, G. Bitzes, Philippe Canal, Federico Carminati, Oscar Roberto Chaparro-Amaro, Gabriele Cosmo, J. C. De Fine Licht, V. Drogan, Laurent Duhem, Daniel Elvira, J. Fuentes, Andrei Gheata, Mihaela Gheata, Mathieu Gravey, Ilias Goulas, Farah Hariri, Soon Yung Jun, Dmitri Konstantinov, Harphool Kumawat, J. G. Lima, Alberto Maldonado-Romo, Jesús Alberto Martínez-Castro, Pere Mato, T. Nikitina, S. Novaes, Mihály Novák, Kevin Pedro, Witold Pokorski, Alberto Ribon, Ryan Schmitz, Raman Seghal, Oksana Shadura, E. Tcherniaev, Sofia Vallecorsa, Sandro Wenzel, Y. Zhang
2021 J jnl
Robustness of deep learning algorithms in astronomy - galaxy morphology studies.
CoRR
Aleksandra Ciprijanovic, Diana Kafkes, Gabriel N. Perdue, Kevin Pedro, Gregory F. Snyder, F. Javier Sánchez, Sandeep Madireddy, Stefan M. Wild, Brian Nord
2020 J jnl
Coffea - Columnar Object Framework For Effective Analysis.
CoRR
Nicholas Smith, Lindsey Gray, Matteo Cremonesi, Bo Jayatilaka, Oliver Gutsche, Allison Hall, Kevin Pedro, Maria Acosta Flechas, Andrew Melo, Stefano Belforte, Jim Pivarski
2020 J jnl
Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML.
CoRR
Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Duc Hoang, Sergo Jindariani, Edward Kreinar, Mia Liu, Vladimir Loncar, Jennifer Ngadiuba, Kevin Pedro, Maurizio Pierini, Dylan S. Rankin, Sheila Sagear, Sioni Summers, Nhan Tran, Zhenbin Wu
2020 J jnl
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.
CoRR
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
2020 J jnl
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.
Frontiers Big Data
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
2020 — conf
FPGAs-as-a-Service Toolkit (FaaST).
H2RC@SC
Dylan S. Rankin, Jeffrey D. Krupa, Philip C. Harris, Maria Acosta Flechas, Burt Holzman, Thomas Klijnsma, Kevin Pedro, Nhan Tran, Scott Hauck, Shih-Chieh Hsu, Matthew Trahms, Kelvin Lin, Yu Lou, Ta-Wei Ho, Javier M. Duarte, Mia Liu
2020 J jnl
FPGAs-as-a-Service Toolkit (FaaST).
CoRR
Dylan Sheldon Rankin, Jeffrey D. Krupa, Philip C. Harris, Maria Acosta Flechas, Burt Holzman, Thomas Klijnsma, Kevin Pedro, Nhan Tran, Scott Hauck, Shih-Chieh Hsu, Matthew Trahms, Kelvin Lin, Yu Lou, Ta-Wei Ho, Javier M. Duarte, Mia Liu
2020 J jnl
GPU coprocessors as a service for deep learning inference in high energy physics.
CoRR
Jeffrey D. Krupa, Kelvin Lin, Maria Acosta Flechas, Jack Dinsmore, Javier M. Duarte, Philip C. Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Thomas Klijnsma, Mia Liu, Kevin Pedro, Natchanon Suaysom, Matt Trahms, Nhan Tran
2020 J jnl
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments.
Frontiers Big Data
Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip C. Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey D. Krupa, Kevin Pedro, Nhan Tran
2020 J jnl
GPU-accelerated machine learning inference as a service for computing in neutrino experiments.
CoRR
Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip C. Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey D. Krupa, Kevin Pedro, Nhan Tran
2019 J jnl
FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing.
Comput. Softw. Big Sci.
Javier M. Duarte, Philip C. Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Suffian Khan, Benjamin Kreis, Brian Lee, Mia Liu, Vladimir Loncar, Jennifer Ngadiuba, Kevin Pedro, Brandon Perez, Maurizio Pierini, Dylan S. Rankin, Nhan Tran, Matthew Trahms, Aristeidis Tsaris, Colin Versteeg, Ted W. Way, Dustin Werran, Zhenbin Wu
2019 J jnl
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan".
CoRR
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
2018 — conf
Strategies for Modeling Extreme Luminosities in the CMS Simulation.
eScience
Michael D. Hildreth, Elizabeth Sexton-Kennedy, Kevin Pedro, Matti Kortelainen