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The world has witnessed rapid technological transformation, past couple of decades and with Advent of Cloud computing the landscape evolved exponentially leading to efficient and scalable application development. Now, the past couple of…

Artificial Intelligence · Computer Science 2024-10-22 Animesh Kumar

Precision tuning or customized precision number representations is emerging, in these recent years, as one of the most promising techniques that has a positive impact on the footprint of programs concerning energy consumption, bandwidth…

Software Engineering · Computer Science 2022-03-16 Dorra Ben Khalifa , Matthieu Martel

Large scale projects increasingly operate in complicated settings whilst drawing on an array of complex data-points, which require precise analysis for accurate control and interventions to mitigate possible project failure. Coupled with a…

Computers and Society · Computer Science 2021-04-20 Nicholas Dacre , Fredrik Kockum , PK Senyo

The escalating impacts of climate change and the increasing demand for sustainable development and natural resource management necessitate innovative technological solutions. Quantum computing (QC) has emerged as a promising tool with the…

Quantum Physics · Physics 2024-07-24 Kin Tung Michael Ho , Kuan-Cheng Chen , Lily Lee , Felix Burt , Shang Yu , Po-Heng , Lee

The advent of hybrid computing platforms consisting of quantum processing units integrated with conventional high-performance computing brings new opportunities for algorithm design. By strategically offloading select portions of the…

The optimal design of compounds through manipulating properties at the molecular level is often the key to considerable scientific advances and improved process systems performance. This paper highlights key trends, challenges, and…

Biomolecules · Quantitative Biology 2020-07-13 Abdulelah S. Alshehri , Rafiqul Gani , Fengqi You

AI Planning, Machine Learning and Process Mining have so far developed into separate research fields. At the same time, many interesting concepts and insights have been gained at the intersection of these areas in recent years. For example,…

Artificial Intelligence · Computer Science 2022-08-19 Peter Fettke , Alexander Rombach

Several Scientific and engineering applications require merging of sampled images for complex perception development. In most cases, for such requirements, images are merged at intensity level. Even though it gives fairly good perception of…

Computer Vision and Pattern Recognition · Computer Science 2014-08-01 T. R. Gopalakrishnan Nair , Richa Sharma

The applicability of computational models to the biological world is an active topic of debate. We argue that a useful path forward results from abandoning hard boundaries between categories and adopting an observer-dependent, pragmatic…

Multiagent Systems · Computer Science 2022-12-22 Joshua Bongard , Michael Levin

For scientific software, especially those used for large-scale simulations, achieving good performance and efficiently using the available hardware resources is essential. It is important to regularly perform benchmarks to ensure the…

Fast-evolving artificial intelligence (AI) algorithms such as large language models have been driving the ever-increasing computing demands in today's data centers. Heterogeneous computing with domain-specific architectures (DSAs) brings…

Hardware Architecture · Computer Science 2024-03-06 Zhuoping Yang , Shixin Ji , Xingzhen Chen , Jinming Zhuang , Weifeng Zhang , Dharmesh Jani , Peipei Zhou

Current computational systems are heterogeneous by nature, featuring a combination of CPUs and GPUs. As the latter are becoming an established platform for high-performance computing, the focus is shifting towards the seamless programming…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-10-23 Fábio Soldado , Fernando Alexandre , Hervé Paulino

The rapid advancement of Artificial Intelligence (AI) has created unprecedented demands for computational power, yet methods for evaluating the performance, efficiency, and environmental impact of deployed models remain fragmented. Current…

Performance · Computer Science 2025-10-22 Hongyuan Liu , Xinyang Liu , Guosheng Hu

On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. By using a combination of 32-bit and 64-bit floating point arithmetic, the performance of many dense and…

Mathematical Software · Computer Science 2015-05-13 Marc Baboulin , Alfredo Buttari , Jack Dongarra , Jakub Kurzak , Julie Langou , Julien Langou , Piotr Luszczek , Stanimire Tomov

Machine learning is increasingly recognized as a promising technology in the biological, biomedical, and behavioral sciences. There can be no argument that this technique is incredibly successful in image recognition with immediate…

Modern precision manufacturing faces the challenge of integrating accuracy requirements into a framework of agile and sustainable production technologies. This development leads to numerous further challenges, affecting almost all areas of…

Accelerator Physics · Physics 2026-01-21 Eckart Uhlmann , Mitchel Polte , Toni Hocke , Julius Tschöpel

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

Escalating artificial intelligence (AI) demands expose a critical "compute crisis" characterized by unsustainable energy consumption, prohibitive training costs, and the approaching limits of conventional CMOS scaling. Physics-based…

Recently, increased computational power and data availability, as well as algorithmic advances, have led machine learning techniques to impressive results in regression, classification, data-generation and reinforcement learning tasks.…

Many biological and physical systems exhibit behaviour at multiple spatial, temporal or population scales. Multiscale processes provide challenges when they are to be simulated using numerical techniques. While coarser methods such as…

Quantitative Methods · Quantitative Biology 2018-02-12 Cameron A. Smith , Christian A. Yates
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