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Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development…

We introduce FrontierCS, a benchmark of 156 open-ended problems across diverse areas of computer science, designed and reviewed by experts, including CS PhDs and top-tier competitive programming participants and problem setters. Unlike…

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…

We summarize current and future applications of quantum information science to theoretical high energy physics. Three main themes are identified and discussed; quantum simulation, quantum sensors and formal aspects of the connection between…

A consistent theme in software experimentation at Microsoft has been solving problems of experimentation at scale for a diverse set of products. Running experiments at scale (i.e., many experiments on many users) has become state of the art…

Applications · Statistics 2019-12-03 Craig Boucher , Ulf Knoblich , Daniel Miller , Sasha Patotski , Amin Saied , Venky Venkateshaiah

With the increasing interplay between experimental and computational approaches at multiple length scales, new research directions are emerging in materials science and computational mechanics. Such cooperative interactions find many…

Materials Science · Physics 2016-01-12 Rémi Dingreville , Richard A. Karnesky , Guillaume Puel , Jean-Hubert Schmitt

Over the last two decades, scientific workflow management systems (SWfMS) have emerged as a means to facilitate the design, execution, and monitoring of reusable scientific data processing pipelines. At the same time, the amounts of data…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-03-29 Marc Bux , Ulf Leser

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 8, on the Instrumentation Frontier, discusses…

High Energy Physics - Experiment · Physics 2014-01-24 M. Demarteau , R. Lipton , H. Nicholson , I. Shipsey , D. Akerib , A. Albayrak-Yetkin , J. Alexander , J. Anderson , M. Artuso , D. Asner , R. Ball , M. Battaglia , C. Bebek , J. Beene , Y. Benhammou , E. Bentefour , M. Bergevin , A. Bernstein , B. Bilki , E. Blucher , G. Bolla , D. Bortoletto , N. Bowden , G. Brooijmans , K. Byrum , B. Cabrera , G. Cancelo , J. Carlstrom , B. Casey , C. Chang , J. Chapman , C. H. Chen , I. Childres , D. Christian , M. Convery , W. Cooper J. Corso , J. Cumalat , P. Cushman , C. Da Via , S. Dazeley , P. Debbins , G. Deptuch , S. Dhawan , V. Di Benedetto , B. DiGiovene , Z. Djurcic , S. Dye , A. Elagin , J. Estrada , H. Evans , E. Etzion , J. Fast , C. Ferretti , P. Fisher , B. Fleming , K. Francis , P. Friedman , H. Frisch , M. Garcia-Sciveres , C. Gatto , G. Geronim , G. Gilchriese , S. Golwala , C. Grant , A. Grillo , E. Grünendahl , P. Gorham , L. Guan , G. Gutierrez , C. Haber , J. Hall , G. Haller , C. Hast , U. Heintz , T. Hemmick , D. G. Hitlin , C. Hogan , M. Hohlmann , E. Hoppe , L. Hsu , M. Huffer , K. Irwin , F. Izraelevitch , G. Jennings , M. Johnson , A. Jung , H. Kagan , C. Kenney , S. Kettell , R. Khanna , V. Khristenko , F. Krennrich , K. Kuehn , R. Kutschke , J. Learned , A. T. Lee , D. Levin , T. Liu , A. T. K. Liu , D. Lissauer , J. Love , D. Lynn , D. MacFarlane , S. Magill , S. Majewski , J. Mans , J. Maricic , P. Marleau , A. Mazzacane , D. McKinsey , J. Mehl , A. Mestvirisvilli , S. Meyer , N. Mokhov , M. Moshe , A. Mukherjee , P. Murat , S. Nahn , M. Narain , P. Nadel-Turonski , M. Newcomer , K. Nishimura , D. Nygren , E. Oberla , Y. Onel , M. Oreglia , J. Orrell , J. Paley , A. Para , S. Parker , V. Polychronakos , S. Pordes , P. Privitera , A. Prosser , M. Pyle , J. Raaf , E. Ramberg , R. Rameika , B. Rebel , J. Repond , D. Reyna , L. Ristori , R. Rivera , A. Ronzhin , R. Rusack , J. Russ , A. Ryd , H. Sadrozinski , H. Sahoo , M. C. Sanchez , C. Sanzeni , S. Schnetzer , S. Seidel , A. Seiden , I. Schmidt , A. Shenai , T. Shutt , Y. Silver , W. Smith , D. Snowden-Ifft , A. Sonnenschein , D. Southwick , L. Spiegel , M. Stanitzki , S. Striganov , D. Su , R. Sumner , R. Svoboda , M. Sweany , R. Talaga , R. Tayloe , S. Tentindo , N. Terentiev , J. Thom-Levy , C. Thorn , J. Tiffenberg , W. Trischuk , R. Tschirhart , M. Turner , D. Underwood , L. Uplegger , J. Urheim , M. Vagins , K. Van Bibber , G. Varner , R. Varner , J. Va'vra , H. Von der Lippe , R. Wagner , S. Wagner , C. Weaverdyck , H. Wenzel , A. Weinstein , M. Wetstein , A. White , R. Wigman , P. Wilson , D. Winn , P. Winter , C. Woody , L. Xia , J. Q. Xie , Z. Ye , M. F. Yeh , T. Yetkin , J. H. Yoo , J. Yu , J. M. Yu , S. Zeller , J. L. Zhang , J. J. Zhu , B. Zhou , R. Y. Zhu , B. Zitzer

Large, complex, multi-scale, multi-physics simulation codes, running on high performance com-puting (HPC) platforms, have become essential to advancing science and engineering. These codes simulate multi-scale, multi-physics phenomena with…

Computational Engineering, Finance, and Science · Computer Science 2014-10-24 A. Dubey , S. Brandt , R. Brower , M. Giles , P. Hovland , D. Q. Lamb , F. Loffler , B. Norris , B. OShea , C. Rebbi , M. Snir , R. Thakur

This is the working summary of the Accelerator Science working group of the Computing Frontier of the Snowmass meeting 2013. It summarizes the computing requirements to support accelerator technology in both Energy and Intensity Frontiers.

This is a Snowmass 2021 Topical Report for the Underground Facilities and Infrastructure Frontier on Synergies in Research at Underground Facilities: A broad range of scientific and engineering research is possible in underground…

Onboard autonomy technologies such as planning and scheduling, identification of scientific targets, and content-based data summarization, will lead to exciting new space science missions. However, the challenge of operating missions with…

The innovations emerging at the frontier of artificial intelligence (AI) are poised to create historic opportunities for humanity but also raise complex policy challenges. Continued progress in frontier AI carries the potential for profound…

This report summarizes the discussions and recommendations from the NSF Workshop on Algorithm-Hardware Co-design for Medical Applications, held on September 26-27, 2024, in Pittsburgh, PA. The workshop assembled an interdisciplinary cohort…

Emerging Technologies · Computer Science 2026-03-12 Peipei Zhou , Zheng Dong , Insup Lee , Aidong Zhang , Robert Dick , Majid Sarrafzadeh , Xiaodong Wu , Weisong Shi , Zhuoping Yang , Jingtong Hu , Yiyu Shi

This report synthesizes findings from the November 2024 Community Workshop on Practical Reproducibility in HPC, which convened researchers, artifact authors, reviewers, and chairs of reproducibility initiatives to address the critical…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-06 Kate Keahey , Marc Richardson , Rafael Tolosana Calasanz , Sascha Hunold , Jay Lofstead , Tanu Malik , Christian Perez

The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing this data for…

Instrumentation and Detectors · Physics 2026-03-12 Julia Gonski , Jenni Ott , Shiva Abbaszadeh , Sagar Addepalli , Matteo Cremonesi , Jennet Dickinson , Giuseppe Di Guglielmo , Erdem Yigit Ertorer , Lindsey Gray , Ryan Herbst , Christian Herwig , Tae Min Hong , Benedikt Maier , Maryam Bayat Makou , David Miller , Mark S. Neubauer , Cristián Peña , Dylan Rankin , Seon-Hee , Seo , Giordon Stark , Alexander Tapper , Audrey Corbeil Therrien , Ioannis Xiotidis , Keisuke Yoshihara , G Abarajithan , Sagar Addepalli , Nural Akchurin , Carlos Argüelles , Saptaparna Bhattacharya , Lorenzo Borella , Christian Boutan , Tom Braine , James Brau , Martin Breidenbach , Antonio Chahine , Talal Ahmed Chowdhury , Yuan-Tang Chou , Seokju Chung , Alberto Coppi , Mariarosaria D'Alfonso , Abhilasha Dave , Chance Desmet , Angela Di Fulvio , Karri DiPetrillo , Javier Duarte , Auralee Edelen , Jan Eysermans , Yongbin Feng , Emmett Forrestel , Dolores Garcia , Loredana Gastaldo , Julián García Pardiñas , Lino Gerlach , Loukas Gouskos , Katya Govorkova , Carl Grace , Christopher Grant , Philip Harris , Ciaran Hasnip , Timon Heim , Abraham Holtermann , Tae Min Hong , Gian Michele Innocenti , Koji Ishidoshiro , Miaochen Jin , Jyothisraj Johnson , Stephen Jones , Andreas Jung , Georgia Karagiorgi , Ryan Kastner , Nicholas Kamp , Doojin Kim , Kyoungchul Kong , Katie Kudela , Jelena Lalic , Bo-Cheng Lai , Yun-Tsung Lai , Tommy Lam , Jeffrey Lazar , Aobo Li , Zepeng Li , Haoyun Liu , Vladimir Lončar , Luca Macchiarulo , Christopher Madrid , Benedikt Maier , Zhenghua Ma , Prashansa Mukim , Mark S. Neubauer , Victoria Nguyen , Sungbin Oh , Isobel Ojalvo , Hideyoshi Ozaki , Simone Pagan Griso , Myeonghun Park , Christoph Paus , Santosh Parajuli , Benjamin Parpillon , Sara Pozzi , Ema Puljak , Benjamin Ramhorst , Amy Roberts , Larry Ruckman , Kate Scholberg , Sebastian Schmitt , Noah Singer , Eluned Anne Smith , Alexandre Sousa , Michael Spannowsky , Sioni Summers , Yanwen Sun , Daniel Tapia Takaki , Antonino Tumeo , Caterina Vernieri , Belina von Krosigk , Yash Vora , Linyan Wan , Michael H. L. S. Wang , Amanda Weinstein , Andy White , Simon Williams , Felix Yu

Topic modeling is a very powerful technique in data analysis and data mining but it is generally slow. Many parallelization approaches have been proposed to speed up the learning process. However, they are usually not very efficient because…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-24 Hung Nghiep Tran , Atsuhiro Takasu