Matevz Tadel

According to our database, Matevz Tadel authored at least 7 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RenderCore - a new WebGPU-based rendering engine for ROOT-EVE.

Ciril Bohak, Dmytro Kovalskyi, Sergey Linev, Alja Mrak Tadel, Sebastien Strban, Matevz Tadel, Avi Yagil

CoRR, 2023

2021

Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs.

Giuseppe Cerati, Peter Elmer, Brian J. Gravelle, Matti J. Kortelainen, Vyacheslav Krutelyov, Steven Lantz, Mario Masciovecchio, Kevin McDermott, Boyana Norris, Allison Reinsvold Hall, Micheal Reid, Daniel Riley, Matevz Tadel, Peter Wittich, Bei Wang, Frank Würthwein, Avraham Yagil

CoRR, 2021

2020

Moving the California distributed CMS xcache from bare metal into containers using Kubernetes.

Edgar Fajardo Hernandez, Matevz Tadel, Justas Balcas, Alja Mrak Tadel, Frank Würthwein, Diego Davila, Jonathan Guiang, Igor Sfiligoi

CoRR, 2020

2015

Designing Computing System Architecture and Models for the HL-LHC era.

Lothar Bauerdick, Brian Bockelman, Peter Elmer, Stephen Gowdy, Matevz Tadel, Frank Würthwein

CoRR, 2015

ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization.

Ilka Antcheva, Maarten Ballintijn, Bertrand Bellenot, Marek Biskup, Rene Brun, Nenad Buncic, Philippe Canal, Diego Casadei, Olivier Couet, Valery Fine, Leandro Franco, Gerardo Ganis, Andrei Gheata, David González Maline, Masaharu Goto, Jan Iwaszkiewicz, Anna Kreshuk, Diego Marcos Segura, Richard Maunder, Lorenzo Moneta, Axel Naumann, Eddy Offermann, Valeriy Onuchin, Suzanne Panacek, Fons Rademakers, Paul Russo, Matevz Tadel

CoRR, 2015

Any Data, Any Time, Anywhere: Global Data Access for Science.

Kenneth Bloom, Tommaso Boccali, Brian Bockelman, Daniel C. Bradley, Sridhara Dasu, Jeff Dost, Federica Fanzago, Igor Sfiligoi, Alja Mrak Tadel, Matevz Tadel, Carl Vuosalo, Frank Würthwein, Avi Yagil, Marián Zvada

Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

2013

Using Gordon to accelerate LHC science.

Rick Wagner, Mahidhar Tatineni, Eva Hocks, Kenneth Yoshimoto, Scott Sakai, Michael L. Norman, Brian Bockelman, Igor Sfiligoi, Matevz Tadel, James Letts, Frank Würthwein, Lothar Bauerdick

Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013