Search Results - "Kreinar, Edward"

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics by 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

“…Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet…”
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Fast convolutional neural networks on FPGAs with hls4ml by 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

“…Abstract We introduce an automated tool for deploying ultra low-latency, low-power deep neural networks with convolutional layers on field-programmable gate…”
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Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml by 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

“…We present the implementation of binary and ternary neural networks in the hls4ml library, designed to automatically convert deep neural network models to…”
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Odometry error estimation for a differential drive robot snowplow by Kreinar, Edward J., Quinn, Roger D.

“…This paper presents a velocity-augmented Extended Kalman Filter (EKF) which can estimate both systematic and non-systematic odometry errors for a differential…”
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Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML by Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hoang, Duc, Jindariani, Sergo, Kreinar, Edward, Liu, Mia, Loncar, Vladimir, Ngadiuba, Jennifer, Pedro, Kevin, Pierini, Maurizio, Rankin, Dylan, Sagear, Sheila, Summers, Sioni, Tran, Nhan, Wu, Zhenbin

“…Mach. Learn.: Sci. Technol. 2, 015001 (2020) We present the implementation of binary and ternary neural networks in the hls4ml library, designed to…”
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Fast convolutional neural networks on FPGAs with hls4ml by 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

“…Mach. Learn.: Sci. Technol. 2 045015 (2021) We introduce an automated tool for deploying ultra low-latency, low-power deep neural networks with convolutional…”
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hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices by Fahim, Farah, Hawks, Benjamin, Herwig, Christian, Hirschauer, James, Jindariani, Sergo, Tran, Nhan, Carloni, Luca P, Di Guglielmo, Giuseppe, Harris, Philip, Krupa, Jeffrey, Rankin, Dylan, Valentin, Manuel Blanco, Hester, Josiah, Luo, Yingyi, Mamish, John, Orgrenci-Memik, Seda, Aarrestad, Thea, Javed, Hamza, Loncar, Vladimir, Pierini, Maurizio, Pol, Adrian Alan, Summers, Sioni, Duarte, Javier, Hauck, Scott, Hsu, Shih-Chieh, Ngadiuba, Jennifer, Liu, Mia, Hoang, Duc, Kreinar, Edward, Wu, Zhenbin

“…Accessible machine learning algorithms, software, and diagnostic tools for energy-efficient devices and systems are extremely valuable across a broad range of…”
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Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics by Iiyama, Yutaro, Cerminara, Gianluca, Gupta, Abhijay, Kieseler, Jan, Loncar, Vladimir, Pierini, Maurizio, Qasim, Shah Rukh, Rieger, Marcel, Summers, Sioni, Van Onsem, Gerrit, Wozniak, Kinga, Ngadiuba, Jennifer, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Rankin, Dylan, Jindariani, Sergo, Liu, Mia, Pedro, Kevin, Tran, Nhan, Kreinar, Edward, Wu, Zhenbin

“…Frontiers in Big Data 3 (2021) 44 Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as…”
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Fast inference of Boosted Decision Trees in FPGAs for particle physics by Summers, Sioni, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hoang, Duc, Jindariani, Sergo, Kreinar, Edward, Loncar, Vladimir, Ngadiuba, Jennifer, Pierini, Maurizio, Rankin, Dylan, Tran, Nhan, Wu, Zhenbin

“…JINST 15 P05026 (2020) We describe the implementation of Boosted Decision Trees in the hls4ml library, which allows the translation of a trained model into…”
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Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs by Heintz, Aneesh, Razavimaleki, Vesal, Duarte, Javier, DeZoort, Gage, Ojalvo, Isobel, Thais, Savannah, Atkinson, Markus, Neubauer, Mark, Gray, Lindsey, Jindariani, Sergo, Tran, Nhan, Harris, Philip, Rankin, Dylan, Aarrestad, Thea, Loncar, Vladimir, Pierini, Maurizio, Summers, Sioni, Ngadiuba, Jennifer, Liu, Mia, Kreinar, Edward, Wu, Zhenbin

“…We develop and study FPGA implementations of algorithms for charged particle tracking based on graph neural networks. The two complementary FPGA designs are…”
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Fast inference of deep neural networks in FPGAs for particle physics by Duarte, Javier, Han, Song, Harris, Philip, Jindariani, Sergo, Kreinar, Edward, Kreis, Benjamin, Ngadiuba, Jennifer, Pierini, Maurizio, Rivera, Ryan, Tran, Nhan, Wu, Zhenbin

“…JINST 13 P07027 (2018) Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics capabilities through the improvement of the real-time…”
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