Výsledky vyhľadávania - parallel amd distributed computing

Task scheduling and resource allocation on parallel and distributed machines

Autori: Ke, Chong Sakellariou, Rizos

Prispievatelia: Ke, Chong Sakellariou, Rizos

Predmety: parallel amd distributed computing, task scheduling

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.878717

Automated parallel execution of distributed task graphs with FPGA clusters

Autori: Haro Ruiz, Juan Miguel de Álvarez Martínez, Carlos Jiménez González, Daniel a ďalší

Prispievatelia: Haro Ruiz, Juan Miguel de Álvarez Martínez, Carlos Jiménez González, Daniel a ďalší

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Predmety: Matrius de portes programables per l'usuari, C++ (Llenguatge de programació), Programming models, Field programmable gate arrays, Supercomputers, 7. Clean energy, Distributed computing, C++ (Computer program language), Supercomputadors, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Task graphs, MPI, Heterogeneous computing, High performance computing, FPGA

Popis súboru: application/pdf

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

Autori: Cardosi, Paul Bramas, Bérenger

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

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

Bringing Auto-tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs

Autori: Lurati, Milo Heldens, Stijn Sclocco, Alessio a ďalší

Predmety: Performance (cs.PF), FOS: Computer and information sciences, Computer Science - Performance, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)

Prístupová URL adresa: http://arxiv.org/abs/2407.11488

State of the Art in Parallel and Distributed Systems: Emerging Trends and Challenges.

Autori: Dai, Fei Hossain, Md Akbar Wang, Yi

Zdroj: Electronics (2079-9292); Feb2025, Vol. 14 Issue 4, p677, 39p

Predmety: PARALLEL programming, COMPUTER systems, QUANTUM computing, COMPUTER performance, RESEARCH personnel

StorjLedger: An Innovative Distributed Storage Ecosystem That Overcomes Blockchain Trade‐Offs Using Erasure‐Coded Sharding and Proof‐of‐Storage Consensus.

Autori: Reno, Saha Roy, Koushik

Zdroj: Engineering Reports; Oct2025, Vol. 7 Issue 10, p1-13, 13p

Predmety: BLOCKCHAINS, DISTRIBUTED computing, CLOUD storage, SCALABILITY, DATA integrity, PARALLEL algorithms, SECURITY management

Scheduling dependent-tasks over cloud-edge-end: a mutant Grey Wolf optimization approach with levy flight and random walk.

Autori: Cai, Junpeng Wu, Yingbo

Zdroj: Cluster Computing; Nov2025, Vol. 28 Issue 12, p1-22, 22p

Predmety: SCHEDULING, RESOURCE allocation, GREY Wolf Optimizer algorithm, LEVY processes, EDGE computing, RANDOM walks, DISTRIBUTED computing

Automated parallel execution of distributed task graphs with FPGA clusters

Autori: Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors Barcelona Supercomputing Center a ďalší

Témy: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Supercomputers, Field programmable gate arrays, C++ (Computer program language), FPGA, MPI, Task graphs, Heterogeneous computing, High performance computing, Programming models, Distributed computing, Supercomputadors, Matrius de portes programables per l'usuari, C++ (Llenguatge de programació), Article

URL: https://hdl.handle.net/2117/411487
https://www.sciencedirect.com/science/article/pii/S0167739X24003418
https://www.sciencedirect.com/science/article/pii/S0167739X24003418

Scaling of the GROMACS Molecular Dynamics Code to 65k CPU Cores on an HPC Cluster.

Autori: Kutzner, Carsten Miletić, Vedran Palacio Rodríguez, Karen a ďalší

Zdroj: Journal of Computational Chemistry; 2/15/2025, Vol. 46 Issue 5, p1-5, 5p

Predmety: HIGH performance computing, MOLECULAR dynamics, CENTRAL processing units, PARALLEL processing, SIMULATION software, DISTRIBUTED computing, BENCHMARK problems (Computer science), MOLECULAR interactions

Low-Scalability Distributed Systems for Artificial Intelligence: A Comparative Study of Distributed Deep Learning Frameworks for Image Classification.

Autori: Rivera-Escobedo, Manuel López-Martínez, Manuel de Jesús Solis-Sánchez, Luis Octavio a ďalší

Zdroj: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p6251, 23p

Predmety: IMAGE recognition (Computer vision), ARTIFICIAL intelligence, DISTRIBUTED computing, COMPUTER science, MICROSOFT Azure, DEEP learning

Advances into exascale computing.

Autori: Wyrzykowski, Roman Szymanski, Boleslaw K.

Zdroj: Concurrency & Computation: Practice & Experience; May2024, Vol. 36 Issue 11, p1-3, 3p

Predmety: PARALLEL algorithms, COMPUTATIONAL mathematics, DISTRIBUTED algorithms, ARTIFICIAL intelligence, DISTRIBUTED computing, COMPUTER science, SOFTWARE engineering

Computational Modeling of Ganglion Cell Bicolor Opponent Receptive Fields and FPGA Adaptation for Parallel Arrays.

Autori: Wei, Hui Yao, Wenbo

Zdroj: Biomimetics (2313-7673); Sep2024, Vol. 9 Issue 9, p526, 24p

Predmety: LATERAL geniculate body, BIOLOGICAL systems, VISUAL pathways, DISTRIBUTED computing, PARALLEL programming

Visualization at exascale: Making it all work with VTK-m

Autori: Moreland, Kenneth Athawale, Tushar M Bolea, Vicente a ďalší

Zdroj: The International Journal of High Performance Computing Applications. 38(5)

Predmety: Information and Computing Sciences, Applied Computing, Bioengineering, Networking and Information Technology R&D (NITRD), Affordable and Clean Energy, Visualization, exascale, VTK-m, parallel, GPU, frontier, auroria, in situ, exascale computing project, ATAP-2024, ATAP-AMP, ATAP-GENERAL, Distributed Computing, Applied computing, Distributed computing and systems software

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/9pz99656
https://escholarship.org/content/qt9pz99656/qt9pz99656.pdf

AI Computing Systems for Large Language Models Training.

Autori: Zhang, Zhen-Xing Wen, Yuan-Bo Lyu, Han-Qi a ďalší

Zdroj: Journal of Computer Science & Technology (10009000); Jan2025, Vol. 40 Issue 1, p6-41, 36p

Predmety: LANGUAGE models, COMPUTATIONAL mathematics, ARTIFICIAL intelligence, DISTRIBUTED computing, HETEROGENEOUS distributed computing, BOOSTING algorithms

Methods of Deployment and Evaluation of FPGA as a Service Under Conditions of Changing Requirements and Environments.

Autori: Perepelitsyn, Artem Kulanov, Vitaliy

Zdroj: Technologies (2227-7080); Jul2025, Vol. 13 Issue 7, p266, 25p

Predmety: FIELD programmable gate arrays, CLOUD computing, TURNAROUND time, COMPUTER performance, QUEUING theory, DISTRIBUTED computing, HETEROGENEOUS computing

Intelligent Edge Computing and Machine Learning: A Survey of Optimization and Applications.

Autori: Cajas Ordóñez, Sebastián A. Samanta, Jaydeep Suárez-Cetrulo, Andrés L. a ďalší

Zdroj: Future Internet; Sep2025, Vol. 17 Issue 9, p417, 40p

Predmety: EDGE computing, MACHINE learning, SYSTEM of systems, SIGNAL quantization, DISTRIBUTED computing, MATHEMATICAL optimization

Operational experience and R&D results using the Google Cloud for High-Energy Physics in the ATLAS experiment.

Autori: Megino, Fernando Barreiro De, Kaushik Elmsheuser, Johannes a ďalší

Zdroj: International Journal of Modern Physics A: Particles & Fields; Gravitation; Cosmology; Nuclear Physics; 5/20/2024, Vol. 39 Issue 13/14, p1-20, 20p

Predmety: CLOUD physics, PHYSICS experiments, GRID computing, DISTRIBUTED computing, LARGE Hadron Collider, CLOUD computing, PARALLEL algorithms

Korporácia: EUROPEAN Organization for Nuclear Research

Performance Optimization using Multimodal Modeling and Heterogeneous GNN

Autori: Akash Dutta Jordi Alcaraz Ali TehraniJamsaz a ďalší

Zdroj: Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing. :45-57

Predmety: Performance (cs.PF), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Performance, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2304.12568

Deep Learning Scheduling on a Field-Programmable Gate Array Cluster Using Configurable Deep Learning Accelerators.

Autori: Fang, Tianyang Perez-Vicente, Alejandro Johnson, Hans a ďalší

Zdroj: Information; Apr2025, Vol. 16 Issue 4, p298, 38p

Predmety: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, REAL-time computing, DISTRIBUTED computing, GATE array circuits

Whistlerlib: a distributed computing library for exploratory data analysis on large social network datasets.

Autori: Garcia-Robledo, Alberto Espejel-Trujillo, Angelina

Zdroj: Multimedia Tools & Applications; Nov2024, Vol. 83 Issue 39, p87071-87104, 34p

Predmety: SOCIAL network analysis, COMPUTER workstation clusters, SOCIAL informatics, DISTRIBUTED computing, DISTRIBUTED algorithms