Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Hall, Allison Reinsvold"'
Autor:
Ather, Hammad, Berkman, Sophie, Cerati, Giuseppe, Kortelainen, Matti, Kwok, Ka Hei Martin, Lantz, Steven, Lee, Seyong, Norris, Boyana, Reid, Michael, Hall, Allison Reinsvold, Riley, Daniel, Strelchenko, Alexei, Wang, Cong
Traditionally, high energy physics (HEP) experiments have relied on x86 CPUs for the majority of their significant computing needs. As the field looks ahead to the next generation of experiments such as DUNE and the High-Luminosity LHC, the computing
Externí odkaz:
http://arxiv.org/abs/2409.09228
Autor:
Kwok, Ka Hei Martin, Kortelainen, Matti, Cerati, Giuseppe, Strelchenko, Alexei, Gutsche, Oliver, Hall, Allison Reinsvold, Lantz, Steve, Reid, Michael, Riley, Daniel, Berkman, Sophie, Lee, Seyong, Ather, Hammad, Norris, Boyana, Wang, Cong
Next generation High-Energy Physics (HEP) experiments are presented with significant computational challenges, both in terms of data volume and processing power. Using compute accelerators, such as GPUs, is one of the promising ways to provide the ne
Externí odkaz:
http://arxiv.org/abs/2401.14221
Autor:
Cerati, Giuseppe, Elmer, Peter, Gartung, Patrick, Giannini, Leonardo, Kortelainen, Matti, Krutelyov, Vyacheslav, Lantz, Steven, Masciovecchio, Mario, Reid, Tres, Hall, Allison Reinsvold, Riley, Daniel, Tadel, Matevz, Vourliotis, Emmanouil, Wittich, Peter, Yagil, Avi
mkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. In the past few years the project transitioned from the R&D phase to deployment in the Run-3 offline workflow
Externí odkaz:
http://arxiv.org/abs/2312.11728
Autor:
Aly, Mohamed, Burzynski, Jackson, Cardwell, Bryan, Craik, Daniel C., van Daalen, Tal, Dado, Tomas, Das, Ayanabha, Peris, Antonio Delgado, Doglioni, Caterina, Elmer, Peter, Eren, Engin, Eriksen, Martin B., Eschle, Jonas, Eulisse, Giulio, Fitzpatrick, Conor, Molina, José Flix, Forti, Alessandra, Galewsky, Ben, Gasiorowski, Sean, Goel, Aman, Gouskos, Loukas, Guiraud, Enrico, Gupta, Kanhaiya, Hageboeck, Stephan, Hall, Allison Reinsvold, Heinrich, Lukas, Held, Alexander, Hernández, José M., Villanueva, Michel Hernández, Hrivnac, Julius, Jouvin, Michel, Khoo, Teng Jian, Kreczko, Luke, Krumnack, Nils, Kuhr, Thomas, Kundu, Baidyanath, Lancon, Eric, Lange, Johannes, Laycock, Paul, Lieret, Kilian, Manganelli, Nicholas J., Villa, Pere Mato, Novak, Andrzej, Yzquierdo, Antonio Perez-Calero, Pivarski, Jim, Proffitt, Mason, Rembser, Jonas, Rodrigues, Eduardo, Rybkin, Grigori, Schaarschmidt, Jana, Schreiner, Henry F., Schulz, Markus, Sciabà, Andrea, Sekmen, Sezen, Sexton-Kennedy, Elizabeth, Shadura, Oksana, Simko, Tibor, Simpson, Nathan, Singh, Jaydip, Skidmore, Nicola, Smith, Nicholas, Sokoloff, Michael, Stewart, Graeme A., Strong, Giles C., Unel, Gokhan, Vassilev, Vassil, Waterlaat, Mark, Watts, Gordon, Yazgan, Efe
The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the needs of HL-LHC and DUNE, as well as the very pressing needs of LHC R
Externí odkaz:
http://arxiv.org/abs/2212.04889
Autor:
Berkman, Sophie, Cerati, Giuseppe, Knoepfel, Kyle, Mengel, Marc, Hall, Allison Reinsvold, Wang, Michael, Gravelle, Brian, Norris, Boyana
Neutrinos are particles that interact rarely, so identifying them requires large detectors which produce lots of data. Processing this data with the computing power available is becoming even more difficult as the detectors increase in size to reach
Externí odkaz:
http://arxiv.org/abs/2107.00812
Autor:
Cerati, Giuseppe, Elmer, Peter, Gravelle, Brian, Kortelainen, Matti, Krutelyov, Vyacheslav, Lantz, Steven, Masciovecchio, Mario, McDermott, Kevin, Norris, Boyana, Hall, Allison Reinsvold, Reid, Micheal, Riley, Daniel, Tadel, Matevž, Wittich, Peter, Wang, Bei, Würthwein, Frank, Yagil, Avraham
We present results from parallelizing the unpacking and clustering steps of the raw data from the silicon strip modules for reconstruction of charged particle tracks. Throughput is further improved by concurrently processing multiple events using nes
Externí odkaz:
http://arxiv.org/abs/2101.11489
Autor:
Lantz, Steven, McDermott, Kevin, Reid, Michael, Riley, Daniel, Wittich, Peter, Berkman, Sophie, Cerati, Giuseppe, Kortelainen, Matti, Hall, Allison Reinsvold, Elmer, Peter, Wang, Bei, Giannini, Leonardo, Krutelyov, Vyacheslav, Masciovecchio, Mario, Tadel, Matevž, Würthwein, Frank, Yagil, Avraham, Gravelle, Brian, Norris, Boyana
One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is determining the trajectory of charged particles during event reconstruction. Algorithms used at the LHC today rely on Kalman filte
Externí odkaz:
http://arxiv.org/abs/2006.00071
Autor:
Berkman, Sophie, Cerati, Giuseppe, Gravelle, Brian, Norris, Boyana, Hall, Allison Reinsvold, Wang, Michael
Neutrinos are particles that interact rarely, so identifying them requires large detectors which produce lots of data. Processing this data with the computing power available is becoming more difficult as the detectors increase in size to reach their
Externí odkaz:
http://arxiv.org/abs/2002.06291
Autor:
Cerati, Giuseppe, Elmer, Peter, Gravelle, Brian, Kortelainen, Matti, Krutelyov, Vyacheslav, Lantz, Steven, Masciovecchio, Mario, McDermott, Kevin, Norris, Boyana, Hall, Allison Reinsvold, Reid, Michael, Riley, Daniel, Tadel, Matevž, Wittich, Peter, Wang, Bei, Würthwein, Frank, Yagil, Avraham
One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is finding and fitting particle tracks during event reconstruction. Algorithms used at the LHC today rely on Kalman filtering, which
Externí odkaz:
http://arxiv.org/abs/2002.06295
Autor:
Cerati, Giuseppe, Elmer, Peter, Gravelle, Brian, Kortelainen, Matti, Krutelyov, Vyacheslav, Lantz, Steven, Masciovecchio, Mario, McDermott, Kevin, Norris, Boyana, Reid, Michael, Hall, Allison Reinsvold, Riley, Daniel, Tadel, Matevž, Wittich, Peter, Würthwein, Frank, Yagil, Avi
Building particle tracks is the most computationally intense step of event reconstruction at the LHC. With the increased instantaneous luminosity and associated increase in pileup expected from the High-Luminosity LHC, the computational challenge of
Externí odkaz:
http://arxiv.org/abs/1906.11744