The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics
Kasieczka, Gregor, Nachman, Benjamin, Shih, David, Amram, Oz, Andreassen, Anders, Benkendorfer, Kees, Bortolato, Blaz, Brooijmans, Gustaaf, Canelli, Florencia, Collins, Jack H, Dai, Biwei, De Freitas, Felipe F, Dillon, Barry M, Dinu, Ioan-Mihail, Dong, Zhongtian, Donini, Julien, Duarte, Javier, Faroughy, D A, Gonski, Julia, Harris, Philip, Kahn, Alan, Kamenik, Jernej F, Khosa, Charanjit K, Komiske, Patrick, Le Pottier, Luc, Martín-Ramiro, Pablo, Matevc, Andrej, Metodiev, Eric, Mikuni, Vinicius, Murphy, Christopher W, Ochoa, Inês, Park, Sang Eon, Pierini, Maurizio, Rankin, Dylan, Sanz, Veronica, Sarda, Nilai, Seljak, Urŏ, Smolkovic, Aleks, Stein, George, Suarez, Cristina Mantilla, Szewc, Manuel, Thaler, Jesse, Tsan, Steven, Udrescu, Silviu-Marian, Vaslin, Louis, Vlimant, Jean-Roch, Williams, Daniel, Yunus, Mikaeel
Published in Reports on progress in physics (07.12.2021)
Published in Reports on progress in physics (07.12.2021)
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Journal Article
Quasi anomalous knowledge: searching for new physics with embedded knowledge
Park, Sang Eon, Rankin, Dylan, Udrescu, Silviu-Marian, Yunus, Mikaeel, Harris, Philip
Published in The journal of high energy physics (01.06.2021)
Published in The journal of high energy physics (01.06.2021)
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Journal Article
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Iiyama, Yutaro, Cerminara, Gianluca, Gupta, Abhijay, Kieseler, Jan, Loncar, Vladimir, Pierini, Maurizio, Qasim, Shah Rukh, Rieger, Marcel, Summers, Sioni, Van Onsem, Gerrit, Wozniak, Kinga Anna, Ngadiuba, Jennifer, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Rankin, Dylan, Jindariani, Sergo, Liu, Mia, Pedro, Kevin, Tran, Nhan, Kreinar, Edward, Wu, Zhenbin
Published in Frontiers in big data (12.01.2021)
Published in Frontiers in big data (12.01.2021)
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Journal Article
GWAK: gravitational-wave anomalous knowledge with recurrent autoencoders
Raikman, Ryan, Moreno, Eric A, Govorkova, Ekaterina, Marx, Ethan J, Gunny, Alec, Benoit, William, Chatterjee, Deep, Omer, Rafia, Saleem, Muhammed, Rankin, Dylan S, Coughlin, Michael W, Harris, Philip C, Katsavounidis, Erik
Published in Machine learning: science and technology (01.06.2024)
Published in Machine learning: science and technology (01.06.2024)
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Journal Article
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
Khoda, Elham E, Rankin, Dylan, Teixeira de Lima, Rafael, Harris, Philip, Hauck, Scott, Hsu, Shih-Chieh, Kagan, Michael, Loncar, Vladimir, Paikara, Chaitanya, Rao, Richa, Summers, Sioni, Vernieri, Caterina, Wang, Aaron
Published in Machine learning: science and technology (01.06.2023)
Published in Machine learning: science and technology (01.06.2023)
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Journal Article
AIgean: An Open Framework for Machine Learning on Heterogeneous Clusters
Tarafdar, Naif, Guglielmo, Giuseppe Di, Harris, Philip C, Krupa, Jeffrey D, Loncar, Vladimir, Rankin, Dylan S, Tran, Nhan, Wu, Zhenbin, Shen, Qianfeng, Chow, Paul
Published in 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (01.05.2020)
Published in 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (01.05.2020)
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Conference Proceeding
Graph Neural Network-based Tracking as a Service
Zhao, Haoran, Naylor, Andrew, Hsu, Shih-Chieh, Calafiura, Paolo, Farrell, Steven, Feng, Yongbing, Philip Coleman Harris, Khoda, Elham E, Mccormack, William Patrick, Dylan Sheldon Rankin, Ju, Xiangyang
Published in arXiv.org (15.02.2024)
Published in arXiv.org (15.02.2024)
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Paper
Journal Article
Fast convolutional neural networks on FPGAs with hls4ml
Aarrestad, Thea, Loncar, Vladimir, Ghielmetti, Nicolò, Pierini, Maurizio, Summers, Sioni, Ngadiuba, Jennifer, Petersson, Christoffer, Linander, Hampus, Iiyama, Yutaro, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Rankin, Dylan, Jindariani, Sergo, Pedro, Kevin, Tran, Nhan, Liu, Mia, Kreinar, Edward, Wu, Zhenbin, Hoang, Duc
Published in Machine learning: science and technology (01.12.2021)
Published in Machine learning: science and technology (01.12.2021)
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Journal Article
Demonstration of machine learning-assisted low-latency noise regression in gravitational wave detectors
Saleem, Muhammed, Gunny, Alec, Chou, Chia-Jui, Yang, Li-Cheng, Yeh, Shu-Wei, Chen, Andy H Y, Magee, Ryan, Benoit, William, Nguyen, Tri, Fan, Pinchen, Chatterjee, Deep, Marx, Ethan, Moreno, Eric, Omer, Rafia, Raikman, Ryan, Rankin, Dylan, Sharma, Ritwik, Coughlin, Michael, Harris, Philip, Katsavounidis, Erik
Published in Classical and quantum gravity (03.10.2024)
Published in Classical and quantum gravity (03.10.2024)
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Journal Article
Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml
Ngadiuba, Jennifer, Loncar, Vladimir, Pierini, Maurizio, Summers, Sioni, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Rankin, Dylan, Jindariani, Sergo, Liu, Mia, Pedro, Kevin, Tran, Nhan, Kreinar, Edward, Sagear, Sheila, Wu, Zhenbin, Hoang, Duc
Published in Machine learning: science and technology (01.03.2021)
Published in Machine learning: science and technology (01.03.2021)
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Journal Article
Fast inference of Boosted Decision Trees in FPGAs for particle physics
Summers, S., Guglielmo, G. Di, Duarte, J., Harris, P., Hoang, D., Jindariani, S., Kreinar, E., Loncar, V., Ngadiuba, J., Pierini, M., Rankin, D., Tran, N., Wu, Z.
Published in Journal of instrumentation (29.05.2020)
Published in Journal of instrumentation (29.05.2020)
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Journal Article
FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing
Duarte, Javier, Harris, Philip, Hauck, Scott, Holzman, Burt, Hsu, Shih-Chieh, Jindariani, Sergo, Khan, Suffian, Kreis, Benjamin, Lee, Brian, Liu, Mia, Lončar, Vladimir, Ngadiuba, Jennifer, Pedro, Kevin, Perez, Brandon, Pierini, Maurizio, Rankin, Dylan, Tran, Nhan, Trahms, Matthew, Tsaris, Aristeidis, Versteeg, Colin, Way, Ted W., Werran, Dustin, Wu, Zhenbin
Published in Computing and software for big science (01.12.2019)
Published in Computing and software for big science (01.12.2019)
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Journal Article
An approach to constraining the Higgs width at the LHC and HL-LHC
Harris, Philip Coleman, Rankin, Dylan Sheldon, Suarez, Cristina Mantilla
Published in arXiv.org (04.10.2019)
Published in arXiv.org (04.10.2019)
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Paper
Journal Article
Applications and Techniques for Fast Machine Learning in Science
Deiana, Allison McCarn, Tran, Nhan, Agar, Joshua, Blott, Michaela, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hauck, Scott, Liu, Mia, Neubauer, Mark S, Ngadiuba, Jennifer, Ogrenci-Memik, Seda, Pierini, Maurizio, Aarrestad, Thea, Bähr, Steffen, Becker, Jürgen, Berthold, Anne-Sophie, Bonventre, Richard J, Müller Bravo, Tomás E, Diefenthaler, Markus, Dong, Zhen, Fritzsche, Nick, Gholami, Amir, Govorkova, Ekaterina, Guo, Dongning, Hazelwood, Kyle J, Herwig, Christian, Khan, Babar, Kim, Sehoon, Klijnsma, Thomas, Liu, Yaling, Lo, Kin Ho, Nguyen, Tri, Pezzullo, Gianantonio, Rasoulinezhad, Seyedramin, Rivera, Ryan A, Scholberg, Kate, Selig, Justin, Sen, Sougata, Strukov, Dmitri, Tang, William, Thais, Savannah, Unger, Kai Lukas, Vilalta, Ricardo, von Krosigk, Belina, Wang, Shen, Warburton, Thomas K
Published in Frontiers in big data (12.04.2022)
Published in Frontiers in big data (12.04.2022)
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Journal Article
GPU coprocessors as a service for deep learning inference in high energy physics
Krupa, Jeffrey, Lin, Kelvin, Acosta Flechas, Maria, Dinsmore, Jack, Duarte, Javier, Harris, Philip, Hauck, Scott, Holzman, Burt, Hsu, Shih-Chieh, Klijnsma, Thomas, Liu, Mia, Pedro, Kevin, Rankin, Dylan, Suaysom, Natchanon, Trahms, Matt, Tran, Nhan
Published in Machine learning: science and technology (01.09.2021)
Published in Machine learning: science and technology (01.09.2021)
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Journal Article
The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics
Kasieczka, Gregor, Nachman, Benjamin, Shih, David, Amram, Oz, Andreassen, Anders, Benkendorfer, Kees, Bortolato, Blaz, Brooijmans, Gustaaf, Canelli, Florencia, Collins, Jack H., Dai, Biwei, De Freitas, Felipe F., Dillon, Barry M., Dinu, Ioan-Mihail, Dong, Zhongtian, Donini, Julien, Duarte, Javier, Faroughy, D. A., Gonski, Julia, Harris, Philip, Kahn, Alan, Kamenik, Jernej F., Khosa, Charanjit K., Komiske, Patrick, Le Pottier, Luc, Martín-Ramiro, Pablo, Matevc, Andrej, Metodiev, Eric, Mikuni, Vinicius, Murphy, Christopher W., Ochoa, Inês, Park, Sang Eon, Pierini, Maurizio, Rankin, Dylan, Sanz, Veronica, Sarda, Nilai, Seljak, Urŏ, Smolkovic, Aleks, Stein, George, Suarez, Cristina Mantilla, Szewc, Manuel, Thaler, Jesse, Tsan, Steven, Udrescu, Silviu-Marian, Vaslin, Louis, Vlimant, Jean-Roch, Williams, Daniel, Yunus, Mikaeel
Published in Reports on progress in physics (07.12.2021)
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Published in Reports on progress in physics (07.12.2021)
Journal Article
Hardware-accelerated inference for real-time gravitational-wave astronomy
Gunny, Alec, Rankin, Dylan, Krupa, Jeffrey, Saleem, Muhammed, Nguyen, Tri, Coughlin, Michael, Harris, Philip, Katsavounidis, Erik, Timm, Steven, Holzman, Burt
Published in Nature astronomy (01.05.2022)
Published in Nature astronomy (01.05.2022)
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Journal Article
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
Khoda, Elham E., Rankin, Dylan, Teixeira de Lima, Rafael, Harris, Philip, Hauck, Scott, Hsu, Shih-Chieh, Kagan, Michael, Loncar, Vladimir, Paikara, Chaitanya, Rao, Richa, Summers, Sioni, Vernieri, Caterina, Wang, Aaron
Published in Machine learning: science and technology (10.04.2023)
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Published in Machine learning: science and technology (10.04.2023)
Journal Article
FPGAs-as-a-Service Toolkit (FaaST)
Dylan Sheldon Rankin, Krupa, Jeffrey, Harris, Philip, Maria Acosta Flechas, Holzman, Burt, Klijnsma, Thomas, Pedro, Kevin, Tran, Nhan, Hauck, Scott, Hsu, Shih-Chieh, Trahms, Matthew, Lin, Kelvin, Yu, Lou, Ta-Wei, Ho, Duarte, Javier, Liu, Mia
Published in arXiv.org (16.10.2020)
Published in arXiv.org (16.10.2020)
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Paper
Journal Article
FPGAs-as-a-Service Toolkit (FaaST)
Rankin, Dylan, Krupa, Jeffrey, Harris, Philip, Flechas, Maria Acosta, Holzman, Burt, Klijnsma, Thomas, Pedro, Kevin, Tran, Nhan, Hauck, Scott, Hsu, Shih-Chieh, Trahms, Matthew, Lin, Kelvin, Lou, Yu, Ho, Ta-Wei, Duarte, Javier, Liu, Mia
Published in 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC) (01.11.2020)
Published in 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC) (01.11.2020)
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Conference Proceeding