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Related papers: Snowmass 2021 Computational Frontier CompF4 Topica…

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The demand in computing power has never stopped growing over the years. Today, the performance of the most powerful systems exceeds the exascale. Unfortunately, this growth also comes with ever-increasing energy costs, leading to a high…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Abdessalam Benhari , Yves Denneulin , Frédéric Desprez , Fanny Dufossé , Denis Trystram

These reports present the results of the 2013 Community Summer Study of the APS Division of Particles and Fields ("Snowmass 2013") on the future program of particle physics in the U.S. Chapter 3, on the Energy Frontier, discusses the…

This perspective article details the program of sustainable computing workshops launched within the High Energy Physics department at DESY in 2023. The workshop series targets scientific users of the National Analysis Facility, hosted at…

High Energy Physics - Experiment · Physics 2024-12-17 J. Alimena , C. Beyer , B. Bruers , F. Gaede , N. Gillwald , M. Hernandez Villanueva , E. Jones , Y. Kemp , T. Madlener , K. Schwarz , C. Wissing

High energy hadron colliders have been the tools for discovery at the highest mass scales of the energy frontier from the SppS, to the Tevatron and now the LHC. This report reviews future hadron collider projects from the high luminosity…

The accelerating technological landscape and drive towards net-zero emission made the power system grow in scale and complexity. Serial computational approaches for grid planning and operation struggle to execute necessary calculations…

Systems and Control · Electrical Eng. & Systems 2022-07-07 Ahmed Al-Shafei , Hamidreza Zareipour , Yankai Cao

The goal of this study is to explore emerging trends in cloud computing technology that can support an economic and social change. We apply the methods of entity linking, which links word strings to entities from a knowledge base, to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-26 Mario Coccia , Saeed Roshani

The rapid growth in demand for HPC systems has led to a rise in carbon footprint, which requires urgent intervention. In this work, we present a comprehensive analysis of the carbon footprint of high-performance computing (HPC) systems,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-21 Baolin Li , Rohan Basu Roy , Daniel Wang , Siddharth Samsi , Vijay Gadepally , Devesh Tiwari

This whitepaper summarizes and the state of the field of high-power cyclotrons and FFAs as discussed by international experts during a three-day workshop of the same name. The workshop was held online from Sep 7 to Sep 9, 2021 as part of…

The soaring energy demands of large-scale software ecosystems and cloud data centers, accelerated by the intensive training and deployment of large language models, have driven energy consumption and carbon footprint to unprecedented…

Software Engineering · Computer Science 2025-08-11 Jialin Yang , Zainab Saad , Jiajun Wu , Xiaoguang Niu , Henry Leung , Steve Drew

This article describes a data center hosting a web portal for accessing and sharing the output of large, cosmological, hydro-dynamical simulations with a broad scientific community. It also allows users to receive related scientific data…

Instrumentation and Methods for Astrophysics · Physics 2018-10-22 Antonio Ragagnin , Klaus Dolag , Veronica Biffi , Marionne Cadolle Bel , Nicolay J. Hammer , Aliaksei Krukau , Margarita Petkova , Daniel Steinborn

The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all frontiers. In the last decade, advances in detector technology, analysis techniques and theoretical modeling have enabled a new…

High-performance computing (HPC) is essential for tackling complex computational problems across various domains. As the scale and complexity of HPC applications continue to grow, the need for scalable systems and software architectures…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-21 Risshab Srinivas Ramesh

This paper investigates the existing resource management approaches in Cloud Data Centres for energy and thermal efficiency. It identifies the need for integrated computing and cooling systems management and learning-based solutions in…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-07 Shashikant Ilager , Rajkumar Buyya

Scientific research in many fields routinely requires the analysis of large datasets, and scientists often employ workflow systems to leverage clusters of computers for their data analysis. However, due to their size and scale, these…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-05 Lauritz Thamsen , Yehia Elkhatib , Paul Harvey , Syed Waqar Nabi , Jeremy Singer , Wim Vanderbauwhede

Current and future astroparticle physics experiments are operated or are being built to observe highly energetic particles, high energy electromagnetic radiation and gravitational waves originating from all kinds of cosmic sources. The data…

The Snowmass 2021 strategic planning process provided an essential opportunity for the United States high energy physics and astroparticle (HEPA) community to come together and discuss upcoming physics goals and experiments. As this…

While the long-term vision of the advanced accelerator community is aimed at addressing the challenges of future collider technology, it is critical that the community takes advantage of the opportunity to make large societal impact through…

In this contribution to the 2021 Snowmass community planning exercise that informs the American strategy for particle physics, we present the prospects for measurements of the top-quark couplings at future colliders. Projections are…

Data from high-energy physics (HEP) experiments are collected with significant financial and human effort and are mostly unique. An inter-experimental study group on HEP data preservation and long-term analysis was convened as a panel of…

High Energy Physics - Experiment · Physics 2012-05-22 Z. Akopov , Silvia Amerio , David Asner , Eduard Avetisyan , Olof Barring , James Beacham , Matthew Bellis , Gregorio Bernardi , Siegfried Bethke , Amber Boehnlein , Travis Brooks , Thomas Browder , Rene Brun , Concetta Cartaro , Marco Cattaneo , Gang Chen , David Corney , Kyle Cranmer , Ray Culbertson , Sunje Dallmeier-Tiessen , Dmitri Denisov , Cristinel Diaconu , Vitaliy Dodonov , Tony Doyle , Gregory Dubois-Felsmann , Michael Ernst , Martin Gasthuber , Achim Geiser , Fabiola Gianotti , Paolo Giubellino , Andrey Golutvin , John Gordon , Volker Guelzow , Takanori Hara , Hisaki Hayashii , Andreas Heiss , Frederic Hemmer , Fabio Hernandez , Graham Heyes , Andre Holzner , Peter Igo-Kemenes , Toru Iijima , Joe Incandela , Roger Jones , Yves Kemp , Kerstin Kleese van Dam , Juergen Knobloch , David Kreincik , Kati Lassila-Perini , Francois Le Diberder , Sergey Levonian , Aharon Levy , Qizhong Li , Bogdan Lobodzinski , Marcello Maggi , Janusz Malka , Salvatore Mele , Richard Mount , Homer Neal , Jan Olsson , Dmitri Ozerov , Leo Piilonen , Giovanni Punzi , Kevin Regimbal , Daniel Riley , Michael Roney , Robert Roser , Thomas Ruf , Yoshihide Sakai , Takashi Sasaki , Gunar Schnell , Matthias Schroeder , Yves Schutz , Jamie Shiers , Tim Smith , Rick Snider , David M. South , Rick St. Denis , Michael Steder , Jos Van Wezel , Erich Varnes , Margaret Votava , Yifang Wang , Dennis Weygand , Vicky White , Katarzyna Wichmann , Stephen Wolbers , Masanori Yamauchi , Itay Yavin , Hans von der Schmitt

Can cloud computing infrastructures provide HPC-competitive performance for scientific applications broadly? Despite prolific related literature, this question remains open. Answers are crucial for designing future systems and democratizing…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-09 Giulia Guidi , Marquita Ellis , Aydin Buluc , Katherine Yelick , David Culler