Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Norris, Boyana"'
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:
Lisan, Aliza, Norris, Boyana
A critical issue faced by open-source software projects is the risk of key personnel leaving the project. This risk is exacerbated in large projects that have been under development for a long time and experienced growth in their development teams. O
Externí odkaz:
http://arxiv.org/abs/2401.03303
Autor:
McInnes, Lois Curfman, Heroux, Michael, Bernholdt, David E., Dubey, Anshu, Gonsiorowski, Elsa, Gupta, Rinku, Marques, Osni, Moulton, J. David, Nam, Hai Ah, Norris, Boyana, Raybourn, Elaine M., Willenbring, Jim, Almgren, Ann, Bartlett, Ross, Cranfill, Kita, Fickas, Stephen, Frederick, Don, Godoy, William, Grubel, Patricia, Hartman-Baker, Rebecca, Huebl, Axel, Lynch, Rose, Thakur, Addi Malviya, Milewicz, Reed, Miller, Mark C., Mundt, Miranda, Palmer, Erik, Parete-Koon, Suzanne, Phinney, Megan, Riley, Katherine, Rogers, David M., Sims, Ben, Stevens, Deborah, Watson, Gregory R.
Computational and data-enabled science and engineering are revolutionizing advances throughout science and society, at all scales of computing. For example, teams in the U.S. DOE Exascale Computing Project have been tackling new frontiers in modeling
Externí odkaz:
http://arxiv.org/abs/2311.02010
Autor:
Berkman, Sophie, Cerati, Giuseppe, Elmer, Peter, Gartung, Patrick, Giannini, Leonardo, Gravelle, Brian, Hall, Allison R., Kortelainen, Matti, Krutelyov, Vyacheslav, Lantz, Steve R., Masciovecchio, Mario, McDermott, Kevin, Norris, Boyana, Reid, Michael, Riley, Daniel S., Tadel, Matevž, Vourliotis, Emmanouil, Wang, Bei, Wittich, Peter, Yagil, Avraham
One of the most challenging computational problems in the Run 3 of the Large Hadron Collider (LHC) and more so in the High-Luminosity LHC (HL-LHC) is expected to be finding and fitting charged-particle tracks during event reconstruction. The methods
Externí odkaz:
http://arxiv.org/abs/2304.05853
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:
Meng, Kewen, Norris, Boyana
Performance models can be very useful for understanding the behavior of applications and hence can help guide design and optimization decisions. Unfortunately, performance modeling of nontrivial computations typically requires significant expertise a
Externí odkaz:
http://arxiv.org/abs/2006.09473
Autor:
Riazi, Sara, Norris, Boyana
Network embedding is an important step in many different computations based on graph data. However, existing approaches are limited to small or middle size graphs with fewer than a million edges. In practice, web or social network graphs are orders o
Externí odkaz:
http://arxiv.org/abs/2006.04236
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