Výsledky vyhledávání - distributed computing, future of high‐performance computing

DISTRIBUTED HIGH-PERFORMANCE COMPUTING METHODS FOR ACCELERATING DEEP LEARNING TRAINING

Autoři: Shikai Wang Haotian Zheng Xin Wen a další

Zdroj: Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online). 3:108-126

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions: A perspective on challenges and future directions

Autoři: Alexeev, Yuri Amsler, Maximilian Barroca, Marco Antonio a další

Přispěvatelé: Alexeev, Yuri Amsler, Maximilian Barroca, Marco Antonio a další

Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Future generation computer systems 160, 666-710 (2024). doi:10.1016/j.future.2024.04.060
Future Generation Computer Systems, vol 160

Témata: Distributed Computing and Systems Software, FOS: Physical sciences, 4606 Distributed Computing and Systems Software (for-2020), 0805 Distributed Computing (for), 7. Clean energy, 4605 Data Management and Data Science (for-2020), Computer Software, 46 Information and Computing Sciences (for-2020), 0806 Information Systems (for), Information and Computing Sciences, 4609 Information Systems (for-2020), High-performance computing, Quantum Physics, Condensed Matter - Materials Science, Networking and Information Technology R&D (NITRD) (rcdc), Data Management and Data Science, Quantum-centric supercomputing, Materials Science (cond-mat.mtrl-sci), Quantum computing, 4605 Data management and data science (for-2020), Materials science, Distributed Computing (science-metrix), Networking and Information Technology R&D (NITRD), 4606 Distributed computing and systems software (for-2020), 0803 Computer Software (for), Distributed Computing, Quantum Physics (quant-ph), 4609 Information systems (for-2020), Information Systems

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2312.09733
http://hdl.handle.net/10261/373863
https://research-portal.uu.nl/en/publications/35551c8e-6aa2-4a17-bc38-a0924588dd7a
https://doi.org/10.1016/j.future.2024.04.060
https://juser.fz-juelich.de/record/1037653
https://escholarship.org/content/qt630634m8/qt630634m8.pdf
https://escholarship.org/uc/item/630634m8

High-Performance Computing for Distributed Route Computation in Traffic Flow Models.

Autoři: Silva, Paulo Smolková, Pavlína Michailidu, Sofia a další

Zdroj: Procedia Computer Science. 2025, Vol. 255, p83-92. 10p.

Témata: Traffic flow, City traffic, Smart cities, Distributed computing, Scalability, Intelligent transportation systems

Creating Continuous Integration Infrastructure for Software Development on U.S. Department of Energy High-Performance Computing Systems

Autoři: Adamson, Ryan Bryant, Paul Montoya, Dave a další

Zdroj: Computing in Science & Engineering. 26(1)

Témata: Information and Computing Sciences, Software Engineering, Networking and Information Technology R&D (NITRD), Affordable and Clean Energy, Codes, Software development management, Security, Testing, Servers, Computational modeling, Continuous integration, Exascale computing, DevOps, Numerical and Computational Mathematics, Computation Theory and Mathematics, Distributed Computing, Fluids & Plasmas, Engineering, Information and computing sciences

Přístupová URL adresa: https://escholarship.org/uc/item/5r86w13x

Advancements in Large-Scale and High-Speed Computing Architectures: Trends and Future Directions

Autoři: Siramgari, Dayakar

Témata: Large-scale computing, high-speed computing, high-performance computing (HPC), distributed computing, cloud scalability, parallel processing, quantum computing, GPUs and TPUs, energy efficiency, and big data analytics

Cloud computing needs to explore into sky computing.

Autoři: Ullah, Arif Remmach, Hassnae Aznaoui, Hanane a další

Zdroj: Computer Science & Information Technologies; Nov2025, Vol. 6 Issue 3, p294-306, 13p

Témata: CLOUD computing, DISTRIBUTED computing, TECHNOLOGICAL innovations, SCALABILITY

Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing.

Autoři: Schlund, Manuel Andela, Bouwe Benke, Jörg a další

Zdroj: Geoscientific Model Development; 2025, Vol. 18 Issue 13, p4009-4021, 13p

Témata: DISTRIBUTED computing, HIGH performance computing, COMPUTER systems, PARALLEL programming, SOFTWARE development tools, MATHEMATICAL optimization, ECOLOGICAL impact, ATMOSPHERIC models

A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond

Autoři: Ahmad Rahdari Elham Keshavarz Ehsan Nowroozi a další

Zdroj: IEEE Open Journal of the Communications Society, Vol 6, Pp 3710-3744 (2025)

Témata: edge computing, federated learning, Distributed cloud computing, differential privacy, Telecommunication, privacy-preserving computing, TK5101-6720, multi-party computation, Transportation and communications, HE1-9990

Přístupová URL adresa: https://doaj.org/article/01aa05ab89104dcaa51df6645dfb7372

Specx: a C++ task-based runtime system for heterogeneous distributed architectures.

Autoři: Cardosi, Paul Bramas, Bérenger

Zdroj: PeerJ Computer Science; Jul2025, p1-34, 34p

Témata: HETEROGENEOUS distributed computing, HIGH performance computing, CENTRAL processing units, PARALLEL algorithms, C++, DISTRIBUTED computing, GRAPHICS processing units, PARALLEL programming

Charting a Path Forward for the International Journal on Networked and Distributed Computing.

Autoři: Dazzi, Patrizio

Zdroj: International Journal of Networked & Distributed Computing; Dec2024, Vol. 12 Issue 2, p165-169, 5p

Témata: DISTRIBUTED computing, SUSTAINABILITY, QUANTUM computing, TECHNOLOGICAL innovations, EDUCATION ethics

Parallel and Distributed Computing for High-Performance Applications.

Autoři: Vijayaraj, M Vizhi, R. Malar Chandrakala, P. a další

Zdroj: E3S Web of Conferences; 7/2/2023, Vol. 399, p1-10, 10p

Automated parallel execution of distributed task graphs with FPGA clusters.

Autoři: de Haro Ruiz, Juan Miguel Martínez, Carlos Álvarez Jiménez-González, Daniel a další

Zdroj: Future Generation Computer Systems. Nov2024, Vol. 160, p808-824. 17p.

Témata: *HIGH performance computing, *PRIVATE networks, FIELD programmable gate arrays, HETEROGENEOUS distributed computing, HETEROGENEOUS computing

High-Performance Computing and Parallel Algorithms for Urban Water Demand Forecasting.

Autoři: Myllis, Georgios Tsimpiris, Alkiviadis Aggelopoulos, Stamatios a další

Zdroj: Algorithms; Apr2025, Vol. 18 Issue 4, p182, 22p

Témata: DISTRIBUTED computing, REAL-time computing, WATER management, MACHINE learning, PARALLEL algorithms, DEEP learning, WATER demand management

Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction

Autoři: Chris D. Cantwell Nils Wedi Tommaso Benacchio a další

Přispěvatelé: Chris D. Cantwell Nils Wedi Tommaso Benacchio a další

Zdroj: The International Journal of High Performance Computing Applications

Témata: Technology, Theory & Methods, Numerical weather prediction, numerical weather prediction, Hardware & Architecture, 0805 Distributed Computing, Fault-tolerant computing, 01 natural sciences, application-level resilience, Application-level resilience, Computer Science, Theory & Methods, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Interdisciplinary Applications, 0101 mathematics, Computer Science, Hardware & Architecture, iterative solvers, High-performance computing, 0105 earth and related environmental sciences, Science & Technology, high-performance computing, [MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA], 13. Climate action, Computer Science, Computer Science, Interdisciplinary Applications, MPI, Iterative solvers, Distributed Computing

Popis souboru: application/pdf

Přístupová URL adresa: https://journals.sagepub.com/doi/pdf/10.1177/1094342021990433
https://inria.hal.science/hal-03138061v1/document
https://inria.hal.science/hal-03138061v1
https://doi.org/10.1177/1094342021990433
https://journals.sagepub.com/doi/10.1177/1094342021990433
https://repository.lboro.ac.uk/articles/journal_contribution/Resilience_and_fault_tolerance_in_high-performance_computing_for_numerical_weather_and_climate_prediction/14604597/1
https://re.public.polimi.it/handle/11311/1166030
https://journals.sagepub.com/doi/pdf/10.1177/1094342021990433
http://journals.sagepub.com/doi/10.1177/1094342021990433
https://hal.inria.fr/hal-03138061/document
http://hdl.handle.net/10044/1/87950
https://hdl.handle.net/11311/1166030
https://doi.org/10.1177/1094342021990433

From cloud and fog computing to federated-fog computing: A comparative analysis of computational resources in real-time IoT applications based on semantic interoperability

Autoři: Huaranga-Junco, Edgar González-Gerpe, Salvador Castillo-Cara, Manuel a další

Přispěvatelé: Huaranga-Junco, Edgar González-Gerpe, Salvador Castillo-Cara, Manuel a další

Zdroj: Future Generation Computer Systems, ISSN 0167-739X, 2024, Vol. 159
Archivo Digital UPM
Universidad Politécnica de Madrid
e-spacio. Repositorio Institucional de la UNED
Universidad Nacional de Educación a Distancia
e-spacio (DSpace). Repositorio Institucional de la UNED
instname
Future Generation Computer Systems

Témata: Federated-fog computing, IoT Security, Computer Networks and Communications, Semantic interoperability, Internet of Things, Fog Computing, 7. Clean energy, Cloud Robotics and Automation Research, IoT architectures, Engineering, Artificial Intelligence, Computer security, Edge Computing, Cloud computing, Data federation, Semantic Web, Informática, Internet of Things and Edge Computing, 12 Matemáticas::1203 Ciencia de los ordenadores ::1203.17 Informática, Interoperability, Computer science, Distributed computing, Mobile Edge Computing, World Wide Web, Operating system, Control and Systems Engineering, Computer Science, Physical Sciences, Performance evaluation, Fog computing, Semantic Web and Ontology Development

Popis souboru: application/pdf

Přístupová URL adresa: https://oa.upm.es/90401/
https://hdl.handle.net/20.500.14468/24285

Automated Network Defense: A Systematic Survey and Analysis of AutoML Paradigms for Network Intrusion Detection.

Autoři: Liu, Haowen Wang, Xuren He, Famei a další

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10389, 14p

Témata: INTRUSION detection systems (Computer security), MACHINE learning, PARALLEL processing, DISTRIBUTED computing, SCALABILITY, INTERNET security

Federated learning in intrusion detection: advancements, applications, and future directions.

Autoři: Buyuktanir, Busra Altinkaya, Şahsene Karatas Baydogmus, Gozde a další

Zdroj: Cluster Computing; 2025, Vol. 28 Issue 7, p1-25, 25p

Témata: FEDERATED learning, INTRUSION detection systems (Computer security), GENERATIVE adversarial networks, INTERNET security, DATA security, MACHINE learning, DISTRIBUTED computing, RIGHT of privacy

Grid Computing: The Future of Distributed Computing for High Performance Scientific and Business Applications

Autoři: Joy Mustafi Soumen Mukherjee Abhik Chaudhuri

Zdroj: Lecture Notes in Computer Science ISBN: 9783540003557

Témata: 9. Industry and infrastructure, 11. Sustainability, 7. Clean energy

Přístupová URL adresa: http://dblp.uni-trier.de/db/conf/iwdc/iwdc2002.html#MukherjeeMC02
https://rd.springer.com/chapter/10.1007%2F3-540-36385-8_34
https://link.springer.com/chapter/10.1007/3-540-36385-8_34
https://dblp.uni-trier.de/db/conf/iwdc/iwdc2002.html#MukherjeeMC02

Integrated Photonics for IoT, RoF, and Distributed Fog–Cloud Computing: A Comprehensive Review.

Autoři: Castañón Ávila, Gerardo Antonio Cerroni, Walter Sarmiento-Moncada, Ana Maria

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7494, 33p

Témata: INTERNET of things, CLOUD computing, PHOTONICS, ELECTRONIC data processing, INTEGRATED optics, RADIO-on-fiber systems, DISTRIBUTED computing

Regen: An object layout regenerator on large-scale production HPC systems

Autoři: Sung, Dong Kyu Kim, Sunggon Lee, Sangjin a další

Zdroj: Future Generation Computer Systems. 171

Témata: 4605 Data Management and Data Science (for-2020), 46 Information and Computing Sciences (for-2020), High-performance computing, Object storage, Distributed file system, Pattern detection, 0803 Computer Software (for), 0805 Distributed Computing (for), 0806 Information Systems (for), Distributed Computing (science-metrix), 4605 Data management and data science (for-2020), 4606 Distributed computing and systems software (for-2020), 4609 Information systems (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/07t4k8ss
https://escholarship.org/content/qt07t4k8ss/qt07t4k8ss.pdf