Suchergebnisse - "parallel computing methodologies"

GigaVoxels DP: Starvation-Less Render and Production for Large and Detailed Volumetric Worlds Walkthrough

Autoren: Richermoz, Antoine Neyret, Fabrice

Weitere Verfasser: Richermoz, Antoine Neyret, Fabrice

Quelle: Proceedings of the ACM on Computer Graphics and Interactive Techniques. 7:1-11

Schlagwörter: On-Demand, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Parallel computing methodologies, 02 engineering and technology, Rendering, Volume Ray-Marching, 03 medical and health sciences, 0302 clinical medicine, Dynamic Parallelism, GPU-Driven, Volumetric models, Computer Graphics, 0202 electrical engineering, electronic engineering, information engineering, Real-Time Rendering

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-04654692v1

Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352)

Autoren: Badia, Rosa M. Berti-Equille, Laure da Silva, Rafael Ferreira et al.

Schlagwörter: Exascale class machine optimization, Computing methodologies → Parallel computing methodologies, Performance data analysis and root cause detection, Computing methodologies → Distributed computing methodologies, Computing methodologies → Machine learning, High dimensional data representation, Large scale data presentation and analysis

Mini-batching with fused training and testing for data streams processing on the Edge

Autoren: Luna, R Cassales, Guilherme Pfahringer, Bernhard et al.

Quelle: CF 2024: the 21st ACM International Conference on Computing Frontiers

Schlagwörter: computer science, computing methodologies, parallel algorithms, parallel computing methodologies, shared memory algorithms, 4605 Data Management and Data Science, 46 Information and Computing Sciences, 4611 Machine Learning, 7 Affordable and Clean Energy, 13 Climate Action

Geographisches Schlagwort: Ischia, Italy

Dateibeschreibung: application/pdf

Relation: Proc 21st ACM International Conference on Computing Frontiers (CF 2024); https://hdl.handle.net/10289/16983

Verfügbarkeit: https://hdl.handle.net/10289/16983
https://doi.org/10.1145/3649153.3649188

Optimizing the data movement in quantum transport simulations via data-centric parallel programming

Autoren: Ziogas, Alexandros Nikolaos Ben-Nun, Tal Fernández, Guillermo Indalecio et al.

Quelle: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '19)
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on -SC '19
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Schlagwörter: Computational Engineering, Finance, and Science (cs.CE), FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, 0103 physical sciences, Distributed, Parallel, and Cluster Computing (cs.DC), Computer Science - Computational Engineering, Finance, and Science, 7. Clean energy, 01 natural sciences, Massively parallel and high-performance simulations, Parallel computing methodologies, Quantum mechanic simulation

Zugangs-URL: http://arxiv.org/pdf/1912.08810
http://arxiv.org/abs/1912.08810
https://arxiv.org/abs/1912.08810
https://arxiv.org/pdf/1912.08810
https://ui.adsabs.harvard.edu/abs/2019arXiv191208810N/abstract
https://www.research-collection.ethz.ch/handle/20.500.11850/395099
https://arxiv.org/abs/1912.08810
https://doi.org/10.1145/3295500.3356200
http://arxiv.org/pdf/1912.08810.pdf
https://dl.acm.org/doi/pdf/10.1145/3295500.3356200
https://dblp.uni-trier.de/db/conf/sc/sc2019.html#ZiogasBFSLH19a
http://hdl.handle.net/20.500.11850/395099

A data-centric approach to extreme-scale ab initio dissipative quantum transport simulations

Autoren: Ziogas, Alexandros Nikolaos Ben-Nun, Tal Fernández, Guillermo Indalecio et al.

Quelle: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '19)
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on -SC '19
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Schlagwörter: Computational Engineering, Finance, and Science (cs.CE), FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Computer Science - Computational Engineering, Finance, and Science, 7. Clean energy, Massively parallel and high-performance simulations, Parallel computing methodologies, Quantum mechanic simulation

Zugangs-URL: https://upcommons.upc.edu/bitstream/2117/185915/1/2019_TPJLAI_SCPAW.pdf
http://arxiv.org/abs/1912.10024
https://dblp.uni-trier.de/db/conf/sc/sc2019.html#ZiogasBFSLH19
https://upcommons.upc.edu/bitstream/2117/185915/1/2019_TPJLAI_SCPAW.pdf
https://doi.org/10.1145/3295500.3357156
http://arxiv.org/pdf/1912.10024.pdf
https://www.arxiv-vanity.com/papers/1912.10024/
https://dl.acm.org/doi/pdf/10.1145/3295500.3357156
https://arxiv.org/abs/1912.10024
https://ui.adsabs.harvard.edu/abs/2019arXiv191210024N/abstract
http://export.arxiv.org/pdf/1912.10024
https://arxiv.org/pdf/1912.10024v1
http://hdl.handle.net/20.500.11850/394966

Assembling a High-Productivity DSL for Computational Fluid Dynamics

Autoren: Macià Sorrosal, Sandra Martínez Ferrer, Pedro José Mateo Bellido, Sergi et al.

Weitere Verfasser: Macià Sorrosal, Sandra Martínez Ferrer, Pedro José Mateo Bellido, Sergi et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Schlagwörter: Physical sciences and engineering, FDM, Parallel programming (Computer science), Domain specific languages, Parallel computing methodologies, Programació en paral·lel (Informàtica), 01 natural sciences, DSL, Fluid dynamics, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, Dinàmica de fluids, HPC, 0103 physical sciences, 0101 mathematics, CFD, Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC]

Dateibeschreibung: application/pdf

Zugangs-URL: https://upcommons.upc.edu/bitstream/2117/167157/1/Assembling%20a%20High-Productivity%20DSL%20for%20Computational%20Fluid.pdf
http://hdl.handle.net/2117/167157
https://dl.acm.org/doi/10.1145/3324989.3325721
https://dblp.uni-trier.de/db/conf/pasc/pasc2019.html#MaciaMMBA19
https://upcommons.upc.edu/handle/2117/167157
https://upcommons.upc.edu/bitstream/2117/167157/1/Assembling%20a%20High-Productivity%20DSL%20for%20Computational%20Fluid.pdf
https://hdl.handle.net/2117/167157
https://doi.org/10.1145/3324989.3325721

Saiph: Towards a DSL for High-Performance Computational Fluid Dynamics

Autoren: Macià, Sandra Mateo, Sergi Martínez Ferrer, Pedro José et al.

Weitere Verfasser: Macià, Sandra Mateo, Sergi Martínez Ferrer, Pedro José et al.

Quelle: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Parallel processing (Electronic computers), Physics, Processament en paral·lel (Ordinadors), Domain specific languages, Parallel computing methodologies, Finite Difference Methods, 02 engineering and technology, 01 natural sciences, DSL, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, Scala, HPC, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC], CFD

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/2117/117205
https://dblp.uni-trier.de/db/conf/cgo/rwdsl2018.html#MaciaMMBMA18
https://upcommons.upc.edu/handle/2117/117205
https://dl.acm.org/doi/10.1145/3183895.3183896

Energy-aware parallelization flow and toolset for C code

Autoren: LAZARESCU, MIHAI TEODOR Albert Cohen Adrien Guatto et al.

Weitere Verfasser: LAZARESCU, MIHAI TEODOR Albert Cohen Adrien Guatto et al.

Quelle: Proceedings of the 17th International Workshop on Software and Compilers for Embedded Systems. :79-88

Schlagwörter: Energy estimation, 02 engineering and technology, 01 natural sciences, 7. Clean energy, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL], [INFO.INFO-ES] Computer Science [cs]/Embedded Systems, Program parallelization, 13. Climate action, Data dependency analysis, 0103 physical sciences, Computing methodologies, Parallel computing methodologies, Parallel programming languages, Software and its engineering, Software notations and tools, General programming languages, Language types, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, SDG 7 - Affordable and Clean Energy, Exeention profiling, SDG 7 – Betaalbare en schone energie

Dateibeschreibung: application/pdf

Zugangs-URL: https://iris.polito.it/retrieve/handle/11583/2565955/63537/scopes.pdf
https://iris.polito.it/handle/11583/2565955
https://iris.polito.it/bitstream/11583/2565955/1/scopes.pdf
https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F25ead65a-3bc7-4184-a08d-888b1d0d3900
https://dl.acm.org/doi/10.1145/2609248.2609264
https://research.tue.nl/en/publications/energy-aware-parallelization-flow-and-toolset-for-c-code
https://hal.archives-ouvertes.fr/hal-01257245

Scouting Big Data Campaigns using TOREADOR Labs

Autoren: Damiani, Ernesto Ardagna, Claudio Agostino Ceravolo, Paolo et al.

Schlagwörter: Parallel computing methodologies, Modeling and simulation

Relation: https://zenodo.org/communities/toreador/; https://zenodo.org/communities/eu/; https://zenodo.org/records/858657; oai:zenodo.org:858657; https://doi.org/10.5281/zenodo.858657

Verfügbarkeit: https://doi.org/10.5281/zenodo.858657
https://zenodo.org/records/858657

Scouting Big Data Campaigns Using Toreador Labs

Autoren: C.A. Ardagna P. Ceravolo E. Damiani et al.

Schlagwörter: Parallel computing methodologies, Modeling and simulation, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf

Zugangs-URL: http://ceur-ws.org/Vol-1810/EuroPro_paper_07.pdf
https://hdl.handle.net/2434/490000

Towards Run-time Efficient Hierarchical Reinforcement Learning

Autoren: Abramowitz, Sasha Nitschke, Geoff

Schlagwörter: Parallel computing methodologies, Artificial intelligence, Modeling and simulation

Dateibeschreibung: text

Relation: https://pubs.cs.uct.ac.za/id/eprint/1542/

Verfügbarkeit: https://pubs.cs.uct.ac.za/id/eprint/1542/1/2022-Towards%20Run-time%20Efficient%20Hierarchical%20Reinforcement%20Learning.pdf

Modeling Irregular Kernels of Task-based codes: Illustration with the Fast Multipole Method

Autoren: Agullo, Emmanuel Bramas, Bérenger Coulaud, Olivier et al.

Weitere Verfasser: Agullo, Emmanuel Bramas, Bérenger Coulaud, Olivier et al.

Quelle: https://hal.inria.fr/hal-01474556 ; [Research Report] RR-9036, INRIA Bordeaux. 2017, pp.35.

Schlagwörter: Mathematical Software, Modeling and simulation, Parallel computing methodologies, fast multipole method, runtime system, task-based programming, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

Relation: Report N°: RR-9036; hal-01474556; https://hal.inria.fr/hal-01474556; https://hal.inria.fr/hal-01474556/document; https://hal.inria.fr/hal-01474556/file/rapport.pdf

Verfügbarkeit: https://hal.inria.fr/hal-01474556
https://hal.inria.fr/hal-01474556/document
https://hal.inria.fr/hal-01474556/file/rapport.pdf

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

Autoren: Jean-Paul Kneib Gilles Fourestey Markus Rexroth et al.

Weitere Verfasser: Jean-Paul Kneib Gilles Fourestey Markus Rexroth et al.

Quelle: Astronomy and Computing. 30:100340

Schlagwörter: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Gravitational lensing, FOS: Physical sciences, Galaxies: halos, 7. Clean energy, 01 natural sciences, Applied computing: Physical sciences and engineering: Astronomy, [PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 0103 physical sciences, Dark matter, Computing methodologies: Parallel computing methodologies: Parallel algorithms: Massively parallel algorithms, Galaxies: clusters: general, [PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph], Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics - Cosmology and Nongalactic Astrophysics

Zugangs-URL: http://arxiv.org/pdf/1902.03252
http://arxiv.org/abs/1902.03252
https://www.sciencedirect.com/science/article/pii/S2213133719300137
https://dblp.uni-trier.de/db/journals/ascom/ascom30.html#RexrothSFK20
https://ui.adsabs.harvard.edu/abs/2020A&C....3000340R/abstract
https://hal.science/hal-02051538v1
https://doi.org/10.1016/j.ascom.2019.100340

Performance comparison of parallel programming paradigms on a multicore cluster

Autoren: Rucci, Enzo Chichizola, Franco Naiouf, Marcelo et al.

Schlagwörter: Ciencias Informáticas, Parallel programming languages, Parallel computing methodologies

Dateibeschreibung: application/pdf

Relation: http://sedici.unlp.edu.ar/handle/10915/80059

Verfügbarkeit: http://sedici.unlp.edu.ar/handle/10915/80059

An Improved Triangle Encoding Scheme for Cached Tessellation

Autoren: Kerbl, Bernhard Horvath, Linus Cornel, Daniel et al.

Schlagwörter: CCS Concepts: Computing methodologies --> Rendering, Parallel computing methodologies, Computing methodologies, Rendering

Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering

Autoren: Marshak, Nathan X. Grosset, A. V. Pascal Knoll, Aaron et al.

Schlagwörter: Scientific visualization, Human centered computing, Parallel computing methodologies, Computing methodologies, Rendering

Lessons Learned from Large Data Visualization Software Development for the K computer

Autoren: Nonaka, Jorji Sakamoto, Naohisa

Schlagwörter: Physical sciences and engineering, 9. Industry and infrastructure, 4. Education, Visualization systems and tools, Applied computing, Parallel computing methodologies', Human centered computing, 7. Clean energy, Computing methodologies

Assembling a high-productivity DSL for computational fluid dynamics

Autoren: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions Macià Sorrosal, Sandra et al.

Index Begriffe: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, Fluid dynamics, Parallel programming (Computer science), Domain specific languages, Parallel computing methodologies, Physical sciences and engineering, DSL, CFD, HPC, FDM, Dinàmica de fluids, Programació en paral·lel (Informàtica), Conference report

URL: https://hdl.handle.net/2117/167157
https://dl.acm.org/citation.cfm?id=3325721
https://dl.acm.org/citation.cfm?id=3325721
info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII

Saiph: towards a DSL for high-performance computational fluid dynamics

Autoren: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors Barcelona Supercomputing Center Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions et al.

Index Begriffe: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, Parallel processing (Electronic computers), Domain specific languages, Parallel computing methodologies, Physics, DSL, HPC, CFD, Finite Difference Methods, Scala, Processament en paral·lel (Ordinadors), Conference report

URL: http://hdl.handle.net/2117/117205
https://dl.acm.org/citation.cfm?id=3183896
https://dl.acm.org/citation.cfm?id=3183896
info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII