Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Parpillon, Benjamin"'
Autor:
Badea, Anthony, Bean, Alice, Berry, Doug, Dickinson, Jennet, DiPetrillo, Karri, Fahim, Farah, Gray, Lindsey, Di Guglielmo, Giuseppe, Jiang, David, Kovach-Fuentes, Rachel, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Shekar, Danush, Swartz, Morris, Syal, Chinar, Tran, Nhan, Yoo, Jieun
Detectors at future high energy colliders will face enormous technical challenges. Disentangling the unprecedented numbers of particles expected in each event will require highly granular silicon pixel detectors with billions of readout channels. Wit
Externí odkaz:
http://arxiv.org/abs/2410.02945
Autor:
Hashem, Maeesha Binte, Parpillon, Benjamin, Kumar, Divake, Jayasuria, Dinithi, Trivedi, Amit Ranjan
In this work, we propose "TimeFloats," an efficient train-in-memory architecture that performs 8-bit floating-point scalar product operations in the time domain. While building on the compute-in-memory paradigm's integrated storage and inferential co
Externí odkaz:
http://arxiv.org/abs/2409.00495
Autor:
Parpillon, Benjamin, Syal, Chinar, Yoo, Jieun, Dickinson, Jennet, Swartz, Morris, Di Guglielmo, Giuseppe, Bean, Alice, Berry, Douglas, Valentin, Manuel Blanco, DiPetrillo, Karri, Badea, Anthony, Gray, Lindsey, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Pradhan, Gauri, Tran, Nhan, Wen, Dahai, Fahim, Farah
We present a smart pixel prototype readout integrated circuit (ROIC) designed in CMOS 28 nm bulk process, with in-pixel implementation of an artificial intelligence (AI) / machine learning (ML) based data filtering algorithm designed as proof-of-prin
Externí odkaz:
http://arxiv.org/abs/2406.14860
Autor:
Lapi, Agustin J., Sofo-Haro, Miguel, Parpillon, Benjamin C., Birman, Adi, Fernandez-Moroni, Guillermo, Rota, Lorenzo, Bessia, Fabricio Alcalde, Gupta, Aseem, Blanco, Claudio Chavez, Chierchie, Fernando, Segal, Julie, Kenney, Christopher J., Dragone, Angelo, Li, Shaorui, Braga, Davide, Fenigstein, Amos, Estrada, Juan, Fahim, Farah
The Skipper-in-CMOS image sensor integrates the non-destructive readout capability of Skipper Charge Coupled Devices (Skipper-CCDs) with the high conversion gain of a pinned photodiode in a CMOS imaging process, while taking advantage of in-pixel sig
Externí odkaz:
http://arxiv.org/abs/2402.12516
Autor:
Dickinson, Jennet, Kovach-Fuentes, Rachel, Gray, Lindsey, Swartz, Morris, Di Guglielmo, Giuseppe, Bean, Alice, Berry, Doug, Valentin, Manuel Blanco, DiPetrillo, Karri, Fahim, Farah, Hirschauer, James, Kulkarni, Shruti R., Lipton, Ron, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Pradhan, Gauri, Syal, Chinar, Tran, Nhan, Wen, Dahai, Yoo, Jieun, Young, Aaron
The combinatorics of track seeding has long been a computational bottleneck for triggering and offline computing in High Energy Physics (HEP), and remains so for the HL-LHC. Next-generation pixel sensors will be sufficiently fine-grained to determine
Externí odkaz:
http://arxiv.org/abs/2312.11676
Autor:
Yoo, Jieun, Dickinson, Jennet, Swartz, Morris, Di Guglielmo, Giuseppe, Bean, Alice, Berry, Douglas, Valentin, Manuel Blanco, DiPetrillo, Karri, Fahim, Farah, Gray, Lindsey, Hirschauer, James, Kulkarni, Shruti R., Lipton, Ron, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Pradhan, Gauri, Syal, Chinar, Tran, Nhan, Wen, Dahai, Young, Aaron
Highly granular pixel detectors allow for increasingly precise measurements of charged particle tracks. Next-generation detectors require that pixel sizes will be further reduced, leading to unprecedented data rates exceeding those foreseen at the Hi
Externí odkaz:
http://arxiv.org/abs/2310.02474
Autor:
Kulkarni, Shruti R., Young, Aaron, Date, Prasanna, Miniskar, Narasinga Rao, Vetter, Jeffrey S., Fahim, Farah, Parpillon, Benjamin, Dickinson, Jennet, Tran, Nhan, Yoo, Jieun, Mills, Corrinne, Swartz, Morris, Maksimovic, Petar, Schuman, Catherine D., Bean, Alice
This work describes the investigation of neuromorphic computing-based spiking neural network (SNN) models used to filter data from sensor electronics in high energy physics experiments conducted at the High Luminosity Large Hadron Collider. We presen
Externí odkaz:
http://arxiv.org/abs/2307.11242
Autor:
Nasrin, Shamma, Hashem, Maeesha Binte, Darabi, Nastaran, Parpillon, Benjamin, Fahim, Farah, Gomes, Wilfred, Trivedi, Amit Ranjan
This work discusses memory-immersed collaborative digitization among compute-in-memory (CiM) arrays to minimize the area overheads of a conventional analog-to-digital converter (ADC) for deep learning inference. Thereby, using the proposed scheme, si
Externí odkaz:
http://arxiv.org/abs/2307.03863
Autor:
Carini, Gabriella, Deptuch, Grzegorz, Dickinson, Jennet, Doering, Dionisio, Dragone, Angelo, Fahim, Farah, Harris, Philip, Herbst, Ryan, Herwig, Christian, Huang, Jin, Mandal, Soumyajit, Suarez, Cristina Mantilla, Deiana, Allison McCarn, Miryala, Sandeep, Newcomer, F. Mitchell, Parpillon, Benjamin, Radeka, Veljko, Rankin, Dylan, Ren, Yihui, Rota, Lorenzo, Ruckman, Larry, Tran, Nhan
Cutting edge detectors push sensing technology by further improving spatial and temporal resolution, increasing detector area and volume, and generally reducing backgrounds and noise. This has led to a explosion of more and more data being generated
Externí odkaz:
http://arxiv.org/abs/2204.13223
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