Zobrazeno 1 - 10
of 2 191
pro vyhledávání: '"Kortelainen , Matti"'
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:
Atif, Mohammad, Battacharya, Meghna, Calafiura, Paolo, Childers, Taylor, Dewing, Mark, Dong, Zhihua, Gutsche, Oliver, Habib, Salman, Knoepfel, Kyle, Kortelainen, Matti, Kwok, Ka Hei Martin, Leggett, Charles, Lin, Meifeng, Pascuzzi, Vincent, Strelchenko, Alexei, Tsulaia, Vakhtang, Viren, Brett, Wang, Tianle, Yeo, Beomki, Yu, Haiwang
High-energy physics (HEP) experiments have developed millions of lines of code over decades that are optimized to run on traditional x86 CPU systems. However, we are seeing a rapidly increasing fraction of floating point computing power in leadership
Externí odkaz:
http://arxiv.org/abs/2306.15869
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:
Bhattacharya, Meghna, Calafiura, Paolo, Childers, Taylor, Dewing, Mark, Dong, Zhihua, Gutsche, Oliver, Habib, Salman, Ju, Xiangyang, Kirby, Michael, Knoepfel, Kyle, Kortelainen, Matti, Kwok, Martin, Leggett, Charles, Lin, Meifeng, Pascuzzi, Vincent R., Strelchenko, Alexei, Viren, Brett, Yeo, Beomki, Yu, Haiwang
Today's world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the future will be much more reliant on accelerators like GPUs and FPGAs. The portable parallelization strategies (PPS) project of the High Energy Physic
Externí odkaz:
http://arxiv.org/abs/2203.09945
Programming for a diverse set of compute accelerators in addition to the CPU is a challenge. Maintaining separate source code for each architecture would require lots of effort, and development of new algorithms would be daunting if it had to be repe
Externí odkaz:
http://arxiv.org/abs/2104.06573
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
The High-Luminosity upgrade of the LHC will see the accelerator reach an instantaneous luminosity of $7\times 10^{34} cm^{-2}s^{-1}$ with an average pileup of $200$ proton-proton collisions. These conditions will pose an unprecedented challenge to th
Externí odkaz:
http://arxiv.org/abs/2008.13461
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