Search Results - "Jindariani, Sergo"

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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Performance Study of the First 2-D Prototype of Vertically Integrated Pattern Recognition Associative Memory by Deptuch, Gregory, Hoff, James, Jindariani, Sergo, Joshi, Siddhartha, Li, Dawei, Liu, Tiehui, Ogrenci-Memik, Seda, Olsen, Jamieson, Tran, Nhan

“…Extremely fast pattern recognition capabilities are necessary to find and fit billions of tracks at the hardware trigger level produced every second…”
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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 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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Multi-Vdd Design for Content Addressable Memories (CAM): A Power-Delay Optimization Analysis by Joshi, Siddhartha, Li, Dawei, Ogrenci-Memik, Seda, Deptuch, Grzegorz, Hoff, James, Jindariani, Sergo, Liu, Tiehui, Olsen, Jamieson, Tran, Nhan

“…In this paper, we characterize the interplay between power consumption and performance of a matchline-based Content Addressable Memory and then propose the use…”
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Measurements of top quark properties in top pair production and decay at the LHC using the CMS detector by Jindariani, Sergo

“…Measurements are presented of the properties of top quarks in pair production and decay from proton-proton collisions at the LHC. The data were collected at…”
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Anomalous production of massive gauge boson pairs at muon colliders by Abbott, Brad, Apyan, Aram, Azartash-Namin, Bianca, Balakrishnan, Veena, Berryhill, Jeffrey, Hsu, Shih-Chieh, Jindariani, Sergo, Kawale, Mayuri, Khoda, Elham E, Parsons, Ryan, Schuy, Alexander, Strauss, Michael, Stupak, John, Waits, Connor

“…Phys. Rev. D 108, 093009 (2023) The prospects of searches for anomalous production of hadronically decaying weak boson pairs at proposed high-energy muon…”
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Charged Particle Tracking in Real-Time Using a Full-Mesh Data Delivery Architecture and Associative Memory Techniques by Ajuha, Sudha, Shinoda, Ailton Akira, Ramalho, Lucas Arruda, Baulieu, Guillaume, Boudoul, Gaelle, Casarsa, Massimo, Cascadan, Andre, Clement, Emyr, de Paiva, Thiago Costa, Das, Souvik, Dutta, Suchandra, Eusebi, Ricardo, Fedi, Giacomo, Ferreira, Vitor Finotti, Hahn, Kristian, Hu, Zhen, Jindariani, Sergo, Konigsberg, Jacobo, Liu, Tiehui, Low, Jia Fu, MacDonald, Emily, Olsen, Jamieson, Palla, Fabrizio, Pozzobon, Nicola, Rathjens, Denis, Ristori, Luciano, Rossin, Roberto, Sung, Kevin, Tran, Nhan, Trovato, Marco, Ulmer, Keith, Vaz, Mario, Viret, Sebastien, Wu, Jin-Yuan, Xu, Zijun, Zorzetti, Silvia

“…We present a flexible and scalable approach to address the challenges of charged particle track reconstruction in real-time event filters (Level-1 triggers) in…”
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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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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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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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Search for the Exotic Meson X(5568) with the Collider Detector at Fermilab by Aaltonen, T, Amerio, S, Amidei, D, Anastassov, A, Annovi, A, Antos, J, Apollinari, G, Appel, J A, Arisawa, T, Artikov, A, Asaadi, J, Ashmanskas, W, Auerbach, B, Aurisano, A, Azfar, F, Badgett, W, Bae, T, Barbaro-Galtieri, A, Barnes, V E, Barnett, B A, Barria, P, Bartos, P, Bauce, M, Bedeschi, F, Behari, S, Bellettini, G, Bellinger, J, Benjamin, D, Beretvas, A, Bhatti, A, Bland, K R, Blumenfeld, B, Bocci, A, Bodek, A, Bortoletto, D, Boudreau, J, Boveia, A, Brigliadori, L, Bromberg, C, Brucken, E, Budagov, J, Budd, H S, Burkett, K, Busetto, G, Bussey, P, Butti, P, Buzatu, A, Calamba, A, Camarda, S, Campanelli, M, Canelli, F, Carls, B, Carlsmith, D, Carosi, R, Carrillo, S, Casal, B, Casarsa, M, Castro, A, Catastini, P, Cauz, D, Cavaliere, V, Cerri, A, Cerrito, L, Chen, Y C, Chertok, M, Chiarelli, G, Chlachidze, G, Cho, K, Chokheli, D, Clark, A, Clarke, C, Convery, M E, Conway, J, Corbo, M, Cordelli, M, Cox, C A, Cox, D J, Cremonesi, M, Cruz, D, Cuevas, J, Culbertson, R, d'Ascenzo, N, Datta, M, de Barbaro, P, Demortier, L, Deninno, M, D'Errico, M, Devoto, F, Di Canto, A, Di Ruzza, B, Dittmann, J R, Donati, S, D'Onofrio, M, Dorigo, M, Driutti, A, Ebina, K, Edgar, R, Elagin, A, Erbacher, R, Errede, S

“…A search for the exotic meson X(5568) decaying into the B_{s}^{0}π^{±} final state is performed using data corresponding to 9.6  fb^{-1} from pp[over ¯]…”
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FPGA-accelerated machine learning inference as a service for particle physics computing by 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

“…Comput Softw Big Sci (2019) 3: 13 New heterogeneous computing paradigms on dedicated hardware with increased parallelization, such as Field Programmable Gate…”
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Study of orbitally excited B mesons and evidence for a new B π resonance by Aaltonen, T., Amerio, S., Amidei, D., Anastassov, A., Annovi, A., Antos, J., Apollinari, G., Appel, J. A., Arisawa, T., Artikov, A., Asaadi, J., Ashmanskas, W., Auerbach, B., Aurisano, A., Azfar, F., Badgett, W., Bae, T., Barbaro-Galtieri, A., Barnes, V. E., Barnett, B. A., Barria, P., Bartos, P., Bauce, M., Bedeschi, F., Behari, S., Bellettini, G., Bellinger, J., Benjamin, D., Beretvas, A., Bhatti, A., Bland, K. R., Blumenfeld, B., Bocci, A., Bodek, A., Bortoletto, D., Boudreau, J., Boveia, A., Brigliadori, L., Bromberg, C., Brucken, E., Budagov, J., Budd, H. S., Burkett, K., Busetto, G., Bussey, P., Butti, P., Buzatu, A., Calamba, A., Camarda, S., Campanelli, M., Canelli, F., Carls, B., Carlsmith, D., Carosi, R., Carrillo, S., Casal, B., Casarsa, M., Castro, A., Catastini, P., Cauz, D., Cavaliere, V., Cavalli-Sforza, M., Cerri, A., Cerrito, L., Chen, Y. C., Chertok, M., Chiarelli, G., Chlachidze, G., Cho, K., Chokheli, D., Clark, A., Clarke, C., Convery, M. E., Conway, J., Corbo, M., Cordelli, M., Cox, C. A., Cox, D. J., Cremonesi, M., Cruz, D., Cuevas, J., Culbertson, R., d’Ascenzo, N., Datta, M., de Barbaro, P., Demortier, L., Deninno, M., Devoto, F., D’Errico, M., Di Canto, A., Di Ruzza, B., Dittmann, J. R., D’Onofrio, M., Donati, S., Dorigo, M., Driutti, A., Ebina, K., Edgar, R., Elagin, A., Erbacher, R.

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FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing by 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

“…Large-scale particle physics experiments face challenging demands for high-throughput computing resources both now and in the future. New heterogeneous…”
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Applications and Techniques for Fast Machine Learning in Science by 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

“…In this community review report, we discuss applications and techniques for machine learning (ML) in science-the concept of integrating powerful ML methods…”
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Measurements of direct CP-violating asymmetries in charmless decays of bottom baryons by Aaltonen, T, Amerio, S, Amidei, D, Anastassov, A, Annovi, A, Antos, J, Apollinari, G, Appel, J A, Arisawa, T, Artikov, A, Asaadi, J, Ashmanskas, W, Auerbach, B, Aurisano, A, Azfar, F, Badgett, W, Bae, T, Barbaro-Galtieri, A, Barnes, V E, Barnett, B A, Barria, P, Bartos, P, Bauce, M, Bedeschi, F, Behari, S, Bellettini, G, Bellinger, J, Benjamin, D, Beretvas, A, Bhatti, A, Bland, K R, Blumenfeld, B, Bocci, A, Bodek, A, Bortoletto, D, Boudreau, J, Boveia, A, Brigliadori, L, Bromberg, C, Brucken, E, Budagov, J, Budd, H S, Burkett, K, Busetto, G, Bussey, P, Butti, P, Buzatu, A, Calamba, A, Camarda, S, Campanelli, M, Canelli, F, Carls, B, Carlsmith, D, Carosi, R, Carrillo, S, Casal, B, Casarsa, M, Castro, A, Catastini, P, Cauz, D, Cavaliere, V, Cavalli-Sforza, M, Cerri, A, Cerrito, L, Chen, Y C, Chertok, M, Chiarelli, G, Chlachidze, G, Cho, K, Chokheli, D, Clark, A, Clarke, C, Convery, M E, Conway, J, Corbo, M, Cordelli, M, Cox, C A, Cox, D J, Cremonesi, M, Cruz, D, Cuevas, J, Culbertson, R, d'Ascenzo, N, Datta, M, de Barbaro, P, Demortier, L, Deninno, M, D'Errico, M, Devoto, F, Di Canto, A, Di Ruzza, B, Dittmann, J R, Donati, S, D'Onofrio, M, Dorigo, M, Driutti, A, Ebina, K, Edgar, R, Elagin, A, Erbacher, R

“…We report final measurements of direct CP-violating asymmetries in charmless decays of neutral bottom hadrons to pairs of charged hadrons with the upgraded…”
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Full Detector Simulation with Unprecedented Background Occupancy at a Muon Collider by Bartosik, Nazar, Andreetto, Paolo, Buonincontri, Laura, Casarsa, Massimo, Gianelle, Alessio, Griso, Simone Pagan, Jindariani, Sergo, Lucchesi, Donatella, Meloni, Federico, Pastrone, Nadia, Sestini, Lorenzo

“…In recent years, a Muon collider has attracted a lot of interest in the high-energy physics community, thanks to its ability of achieving clean interaction…”
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