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As computer systems become more and more complex, software and tools lag more and more behind. This is especially true for scientific software that often demands high performance, and thus needs to take advantage of parallelisms, memory…

Computers and Society · Computer Science 2013-09-11 Anne C. Elster

Computational science and engineering (CSE) has been misunderstood to advance with the construction of enormous computers. To the contrary, the historical record demonstrates that innovations in CSE come from improvements to the mathematics…

History and Overview · Mathematics 2011-08-11 Joseph F. Grcar

Computer science (CS) capstone courses offer students a valuable opportunity to gain hands-on experience in software development, practice essential soft skills, and enhance their employability prospects. They are a core component in many…

Computers and Society · Computer Science 2024-04-05 Asma Shakil , Paul Denny

The high-performance computing (HPC) community has adopted incentive structures to motivate reproducible research, with major conferences awarding badges to papers that meet reproducibility requirements. Yet, many papers do not meet such…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-01 Valérie Hayot-Sasson , Nathaniel Hudson , André Bauer , Maxime Gonthier , Ian Foster , Kyle Chard

The astronomical growth of data has necessitated the need for educating well-qualified data scientists to derive deep insights from large and complex data sets generated by organizations. In this paper, we present our interdisciplinary…

Computers and Society · Computer Science 2015-12-15 Daniel Asamoah , Derek Doran , Shu Schiller

Although the computer science community successfully harnessed exponential increases in computer performance to drive societal and economic change, the exponential growth in publications is proving harder to accommodate. To gain a deeper…

Digital Libraries · Computer Science 2019-09-06 Stephen M. Blackburn , Kathryn S. McKinley , Lexing Xie

Efficient workforce training is needed in today's world in which technology is continually changing the nature of work. Students need to be prepared to enter the workforce. Employees need to become lifelong learners to stay up-to-date in…

The number of scientific publications continues to rise exponentially, especially in Computer Science (CS). However, current solutions to analyze those publications restrict access behind a paywall, offer no features for visual analysis,…

Digital Libraries · Computer Science 2022-12-02 Lennart Küll

The continuous increase in the availability of data of any kind, coupled with the development of networks of high-speed communications, the popularization of cloud computing and the growth of data centers and the emergence of…

Artificial Intelligence · Computer Science 2016-09-20 Jose A. García Gutiérrez

This is a thought piece on data-intensive science requirements for databases and science centers. It argues that peta-scale datasets will be housed by science centers that provide substantial storage and processing for scientists who access…

Databases · Computer Science 2007-05-23 Jim Gray , David T. Liu , Maria Nieto-Santisteban , Alexander S. Szalay , David DeWitt , Gerd Heber

Data science has arrived, and computational statistics is its engine. As the scale and complexity of scientific and industrial data grow, the discipline of computational statistics assumes an increasingly central role among the statistical…

Other Statistics · Statistics 2022-04-13 Andrew J. Holbrook , Akihiko Nishimura , Xiang Ji , Marc A. Suchard

Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex scientific experiments that range from execution of a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-04 Rafael Ferreira da Silva , Rosa M. Badia , Venkat Bala , Debbie Bard , Peer-Timo Bremer , Ian Buckley , Silvina Caino-Lores , Kyle Chard , Carole Goble , Shantenu Jha , Daniel S. Katz , Daniel Laney , Manish Parashar , Frederic Suter , Nick Tyler , Thomas Uram , Ilkay Altintas , Stefan Andersson , William Arndt , Juan Aznar , Jonathan Bader , Bartosz Balis , Chris Blanton , Kelly Rosa Braghetto , Aharon Brodutch , Paul Brunk , Henri Casanova , Alba Cervera Lierta , Justin Chigu , Taina Coleman , Nick Collier , Iacopo Colonnelli , Frederik Coppens , Michael Crusoe , Will Cunningham , Bruno de Paula Kinoshita , Paolo Di Tommaso , Charles Doutriaux , Matthew Downton , Wael Elwasif , Bjoern Enders , Chris Erdmann , Thomas Fahringer , Ludmilla Figueiredo , Rosa Filgueira , Martin Foltin , Anne Fouilloux , Luiz Gadelha , Andy Gallo , Artur Garcia Saez , Daniel Garijo , Roman Gerlach , Ryan Grant , Samuel Grayson , Patricia Grubel , Johan Gustafsson , Valerie Hayot-Sasson , Oscar Hernandez , Marcus Hilbrich , AnnMary Justine , Ian Laflotte , Fabian Lehmann , Andre Luckow , Jakob Luettgau , Ketan Maheshwari , Motohiko Matsuda , Doriana Medic , Pete Mendygral , Marek Michalewicz , Jorji Nonaka , Maciej Pawlik , Loic Pottier , Line Pouchard , Mathias Putz , Santosh Kumar Radha , Lavanya Ramakrishnan , Sashko Ristov , Paul Romano , Daniel Rosendo , Martin Ruefenacht , Katarzyna Rycerz , Nishant Saurabh , Volodymyr Savchenko , Martin Schulz , Christine Simpson , Raul Sirvent , Tyler Skluzacek , Stian Soiland-Reyes , Renan Souza , Sreenivas Rangan Sukumar , Ziheng Sun , Alan Sussman , Douglas Thain , Mikhail Titov , Benjamin Tovar , Aalap Tripathy , Matteo Turilli , Bartosz Tuznik , Hubertus van Dam , Aurelio Vivas , Logan Ward , Patrick Widener , Sean Wilkinson , Justyna Zawalska , Mahnoor Zulfiqar

Spatiotemporal learning is challenging due to the intricate interplay between spatial and temporal dependencies, the high dimensionality of the data, and scalability constraints. These challenges are further amplified in scientific domains,…

Machine Learning · Computer Science 2025-04-17 David Keetae Park , Xihaier Luo , Guang Zhao , Seungjun Lee , Miruna Oprescu , Shinjae Yoo

High performance computing (HPC) has driven collaborative science discovery for decades. Exascale computing platforms, currently in the design stage, will be deployed around 2022. The next generation of supercomputers is expected to utilize…

Human-Computer Interaction · Computer Science 2015-10-22 Nan-Chen Chen , Sarah S. Poon , Lavanya Ramakrishnan , Cecilia R. Aragon

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

Like medicine, psychology, or education, data science is fundamentally an applied discipline, with most students who receive advanced degrees in the field going on to work on practical problems. Unlike these disciplines, however, data…

Computers and Society · Computer Science 2020-01-28 Kit T Rodolfa , Adolfo De Unanue , Matt Gee , Rayid Ghani

Over the past decade, undergraduate Computer Science (CS) programs across the nation have experienced an explosive growth in enrollment as computational skills have proven increasingly important across many domains and in the workforce at…

Computers and Society · Computer Science 2021-05-04 Kevin Lin

The article highlights the promising ways of providing access to the cloud-based learning and research software in higher educational institutions. It is emphasized that the cloud computing services implementation is the actual trend of…

Computers and Society · Computer Science 2018-07-27 Mariya Shyshkina

With the advancement of science and technology, the number of academic papers published in the world each year has increased almost exponentially. While a large number of research papers highlight the prosperity of science and technology,…

Social and Information Networks · Computer Science 2020-09-08 Qihang Zhao

The pace of improvement in the performance of conventional computer hardware has slowed significantly during the past decade, largely as a consequence of reaching the physical limits of manufacturing processes. To offset this slowdown, new…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-16 Marc P. Armstrong