Zobrazeno 1 - 10
of 3 100
pro vyhledávání: '"Lange , David"'
Autor:
Aehle, Max, Novák, Mihály, Vassilev, Vassil, Gauger, Nicolas R., Heinrich, Lukas, Kagan, Michael, Lange, David
Among the well-known methods to approximate derivatives of expectancies computed by Monte-Carlo simulations, averages of pathwise derivatives are often the easiest one to apply. Computing them via algorithmic differentiation typically does not requir
Externí odkaz:
http://arxiv.org/abs/2405.07944
Autor:
Singh, Garima, Kundu, Baidyanath, Menon, Harshitha, Penev, Alexander, Lange, David J., Vassilev, Vassil
As we reach the limit of Moore's Law, researchers are exploring different paradigms to achieve unprecedented performance. Approximate Computing (AC), which relies on the ability of applications to tolerate some error in the results to trade-off accur
Externí odkaz:
http://arxiv.org/abs/2304.06441
RooFit is a toolkit for statistical modeling and fitting used by most experiments in particle physics. Just as data sets from next-generation experiments grow, processing requirements for physics analysis become more computationally demanding, necess
Externí odkaz:
http://arxiv.org/abs/2304.02650
Publikováno v:
In International Journal of Thermal Sciences October 2024 204
Publikováno v:
In Engineering Structures 15 January 2025 323 Part A
Automatic Differentiation (AD) is instrumental for science and industry. It is a tool to evaluate the derivative of a function specified through a computer program. The range of AD application domain spans from Machine Learning to Robotics to High En
Externí odkaz:
http://arxiv.org/abs/2203.06139
Autor:
WG, The HSF Physics Event Generator, Yazgan, Efe, McFayden, Josh, Valassi, Andrea, Amoroso, Simone, Bothmann, Enrico, Buckley, Andy, Campbell, John, Chahal, Gurpreet Singh, Childers, Taylor, Corti, Gloria, Frederix, Rikkert, Frixione, Stefano, Giuli, Francesco, Grohsjean, Alexander, Hoeche, Stefan, Ilten, Phil, Krauss, Frank, Kreps, Michal, Lange, David, Lonnblad, Leif, Marshall, Zach, Mattelaer, Olivier, Mrenna, Stephen, Nason, Paolo, Plaetzer, Simon, Preuss, Christian, Re, Emanuele, Roiser, Stefan, Schoenherr, Marek, Schumann, Steffen, Seidel, Markus, Sexton-Kennedy, Elizabeth, Siegert, Frank, Siodmok, Andrzej, Stewart, Graeme A., Sugunan, Aravind Thachayath, Was, Zbigniew
This paper has been prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group (WG), as an input to the second phase of the LHCC review of High-Luminosity LHC (HL-LHC) computing, which is due to take place in November 2021. I
Externí odkaz:
http://arxiv.org/abs/2109.14938
Autor:
Neubauer, Mark S., Adams, Todd, Adelman-McCarthy, Jennifer, Benelli, Gabriele, Bose, Tulika, Britton, David, Burchat, Pat, Butler, Joel, Cartwright, Timothy A., Davídek, Tomáš, Dumarchez, Jacques, Elmer, Peter, Feickert, Matthew, Galewsky, Ben, Gill, Mandeep, Gladki, Maciej, Goel, Aman, Guyer, Jonathan E., Jayatilaka, Bo, Kiburg, Brendan, Krikler, Benjamin, Lange, David, Lee, Claire, Manganelli, Nick, Marchiori, Giovanni, Narain, Meenakshi, Osborne, Ianna, Pivarski, Jim, Prosper, Harrison, Stewart, Graeme A, Rodrigues, Eduardo, Salerno, Roberto, Tonjes, Marguerite, Trnka, Jaroslav, Varanda, Vera, Vassilev, Vassil, Watts, Gordon T., Zeller, Sam, Zhang, Yuanyuan
The COVID-19 pandemic has by-and-large prevented in-person meetings since March 2020. While the increasing deployment of effective vaccines around the world is a very positive development, the timeline and pathway to "normality" is uncertain and the
Externí odkaz:
http://arxiv.org/abs/2106.15783
File formats for generic data structures, such as ROOT, Avro, and Parquet, pose a problem for deserialization: it must be fast, but its code depends on the type of the data structure, not known at compile-time. Just-in-time compilation can satisfy bo
Externí odkaz:
http://arxiv.org/abs/2102.13516
Publikováno v:
In Construction and Building Materials 12 January 2024 411