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of 1 228
pro vyhledávání: '"Bockelman, A."'
Autor:
Ciangottini, D., Forti, A., Heinrich, L., Skidmore, N., Alpigiani, C., Aly, M., Benjamin, D., Bockelman, B., Bryant, L., Catmore, J., D'Alfonso, M., Peris, A. Delgado, Doglioni, C., Duckeck, G., Elmer, P., Eschle, J., Feickert, M., Frost, J., Gardner, R., Garonne, V., Giffels, M., Gooding, J., Gramstad, E., Gray, L., Hegner, B., Held, A., Hernández, J., Holzman, B., Hu, F., Jashal, B. K., Kondratyev, D., Kourlitis, E., Kreczko, L., Krommydas, I., Kuhr, T., Lancon, E., Lange, C., Lange, D., Lange, J., Lenzi, P., Linden, T., Outschoorn, V. Martinez, McKee, S., Molina, J. F., Neubauer, M., Novak, A., Osborne, I., Ould-Saada, F., Pages, A. P., Pedro, K., Yzquierdo, A. Perez-Calero, Piperov, S., Pivarski, J., Rodrigues, E., Sahoo, N., Sciaba, A., Schulz, M., Sexton-Kennedy, L., Shadura, O., Šimko, T., Smith, N., Spiga, D., Stark, G., Stewart, G., Vukotic, I., Watts, G.
This white paper presents the current status of the R&D for Analysis Facilities (AFs) and attempts to summarize the views on the future direction of these facilities. These views have been collected through the High Energy Physics (HEP) Software Foun
Externí odkaz:
http://arxiv.org/abs/2404.02100
Autor:
Andrijauskas, Fabio, Sfiligoi, Igor, Davila, Diego, Arora, Aashay, Guiang, Jonathan, Bockelman, Brian, Thain, Greg, Wurthwein, Frank
Creating new materials, discovering new drugs, and simulating systems are essential processes for research and innovation and require substantial computational power. While many applications can be split into many smaller independent tasks, some cann
Externí odkaz:
http://arxiv.org/abs/2402.05244
Autor:
Albin, Sam, Attebury, Garhan, Bloom, Kenneth, Bockelman, Brian, Lundstedt, Carl, Shadura, Oksana, Thiltges, John
Publikováno v:
EPJ Web of Conferences 295, 07009 (2024)
The large data volumes expected from the High Luminosity LHC (HL-LHC) present challenges to existing paradigms and facilities for end-user data analysis. Modern cyberinfrastructure tools provide a diverse set of services that can be composed into a s
Externí odkaz:
http://arxiv.org/abs/2312.11485
The quest to understand the fundamental building blocks of nature and their interactions is one of the oldest and most ambitious of human scientific endeavors. CERN's Large Hadron Collider (LHC) represents a huge step forward in this quest. The disco
Externí odkaz:
http://arxiv.org/abs/2302.01317
Autor:
Flechas, Maria Acosta, Attebury, Garhan, Bloom, Kenneth, Bockelman, Brian, Gray, Lindsey, Holzman, Burt, Lundstedt, Carl, Shadura, Oksana, Smith, Nicholas, Thiltges, John
Prior to the public release of Kubernetes it was difficult to conduct joint development of elaborate analysis facilities due to the highly non-homogeneous nature of hardware and network topology across compute facilities. However, since the advent of
Externí odkaz:
http://arxiv.org/abs/2203.10161
Autor:
Benjamin, Doug, Bloom, Kenneth, Bockelman, Brian, Bryant, Lincoln, Cranmer, Kyle, Gardner, Rob, Hollowell, Chris, Holzman, Burt, Lançon, Eric, Rind, Ofer, Shadura, Oksana, Yang, Wei
The HL-LHC presents significant challenges for the HEP analysis community. The number of events in each analysis is expected to increase by an order of magnitude and new techniques are expected to be required; both challenges necessitate new services
Externí odkaz:
http://arxiv.org/abs/2203.08010
Autor:
Weitzel, Derek, McKee, Shawn, Bockelman, Brian Paul, Thiltges, John, Babik, Marian, Vukotic, Ilija
Modern network performance monitoring toolkits, such as perfSONAR, take a remarkable number of measurements about the local network environment. To gain a complete picture of network performance, however, one needs to aggregate data across a large nu
Externí odkaz:
http://arxiv.org/abs/2112.03074
Autor:
Robert J. Millikin, Kalpana Raja, John Steill, Cannon Lock, Xuancheng Tu, Ian Ross, Lam C. Tsoi, Finn Kuusisto, Zijian Ni, Miron Livny, Brian Bockelman, James Thomson, Ron Stewart
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-14 (2023)
Abstract Background The PubMed archive contains more than 34 million articles; consequently, it is becoming increasingly difficult for a biomedical researcher to keep up-to-date with different knowledge domains. Computationally efficient and interpre
Externí odkaz:
https://doaj.org/article/d8781b15ff3f482f95868b84ad1c6b1a
Autor:
Fajardo, Edgar, Arora, Aashay, Davila, Diego, Gao, Richard, Würthwein, Frank, Bockelman, Brian
The High Luminosity Large Hadron Collider provides a data challenge. The amount of data recorded from the experiments and transported to hundreds of sites will see a thirty fold increase in annual data volume. A systematic approach to contrast the pe
Externí odkaz:
http://arxiv.org/abs/2103.12116
Autor:
Adamec, Matous, Attebury, Garhan, Bloom, Kenneth, Bockelman, Brian, Lundstedt, Carl, Shadura, Oksana, Thiltges, John
Data analysis in HEP has often relied on batch systems and event loops; users are given a non-interactive interface to computing resources and consider data event-by-event. The "Coffea-casa" prototype analysis facility is an effort to provide users w
Externí odkaz:
http://arxiv.org/abs/2103.01871