Suchergebnisse - "distributed-memory parallelism"

Performance comparison between two-sided MPI, MPI-3 RMA and OpenSHMEM for a particle cluster algorithm

Autoren: Frey, Matthias Shanks, Douglas Böing, Steven et al.

Schlagwörter: message passing interface (MPI), ARCHER2, point-to-point communication, passive target communication, distributed-memory parallelism, N-body simulation, Celebration of Science, remote memory access (RMA), one-sided communication, nearest-neighbour graphs, cluster algorithm, OpenSHMEM

Leveraging HPC accelerator architectures with modern techniques — hydrologic modeling on GPUs with ParFlow

Autoren: Jaro Hokkanen Stefan Kollet Jiri Kraus et al.

Quelle: Computational geosciences 25(5), 1579-1590 (2021). doi:10.1007/s10596-021-10051-4

Schlagwörter: 0208 environmental biotechnology, 0207 environmental engineering, Domain-specific language (DSL), Distributed memory parallelism, High-performance computing (HPC), 68N19, Original Paper, 65Y05, GPU computing, Accelerator architecture, 68–04, 02 engineering and technology

Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s10596-021-10051-4.pdf
https://link.springer.com/article/10.1007/s10596-021-10051-4
https://link.springer.com/content/pdf/10.1007/s10596-021-10051-4.pdf
https://juser.fz-juelich.de/record/903038
https://repository.publisso.de/resource/frl:6445040

MPI+X: task-based parallelisation and dynamic load balance of finite element assembly

Autoren: Garcia, Marta Houzeaux, Guillaume Ferrer, Roger et al.

Weitere Verfasser: Garcia, Marta Houzeaux, Guillaume Ferrer, Roger 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: Elements finits, FOS: Computer and information sciences, Finite element method, Application program interfaces (Computer software), Mètode dels, Elements finits, Mètode dels, Dynamic load balance, 7. Clean energy, 01 natural sciences, Finite element, Informàtica [Àrees temàtiques de la UPC], 0103 physical sciences, Shared-memory parallelism, Distributed memory parallelism, Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC], Computer Science - Performance, Computer Science - Programming Languages, Parallel processing (Electronic computers), Processament en paral·lel (Ordinadors), Finite element code (FE), OpenMP, Interfícies de programació d'aplicacions (Programari), Hybrid parallelism, Performance (cs.PF), Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, Computer Science - Distributed, Parallel, and Cluster Computing, MPI, Computer Science - Mathematical Software, MPI+X, Distributed, Parallel, and Cluster Computing (cs.DC), Àrees temàtiques de la UPC::Informàtica, CFD, Mathematical Software (cs.MS), Programming Languages (cs.PL)

Dateibeschreibung: application/pdf

Zugangs-URL: https://upcommons.upc.edu/bitstream/2117/186149/1/Garcia%20et%20al.pdf
http://arxiv.org/abs/1805.03949
http://hdl.handle.net/2117/116807
https://ui.adsabs.harvard.edu/abs/2018arXiv180503949G/abstract
https://arxiv.org/pdf/1805.03949v1
http://export.arxiv.org/pdf/1805.03949
https://arxiv.org/pdf/1805.03949.pdf
https://ui.adsabs.harvard.edu/abs/2019IJCFD..33..115G/abstract
https://upcommons.upc.edu/bitstream/2117/186149/1/Garcia%20et%20al.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1805.html#abs-1805-03949
https://www.tandfonline.com/doi/full/10.1080/10618562.2019.1617856
https://upcommons.upc.edu/handle/2117/186149
https://hdl.handle.net/2117/116807
https://doi.org/10.1080/10618562.2019.1617856
https://hdl.handle.net/2117/186149
https://doi.org/10.1080/10618562.2019.1617856

Massively parallel implementation and approaches to simulate quantum dynamics using Krylov subspace techniques

Autoren: Marlon Brenes Vipin Kerala Varma Antonello Scardicchio et al.

Quelle: Computer Physics Communications. 235:477-488

Schlagwörter: FOS: Computer and information sciences, Strongly Correlated Electrons (cond-mat.str-el), Strongly interacting systems, FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Computational Physics (physics.comp-ph), 01 natural sciences, Condensed Matter - Strongly Correlated Electrons, Computer Science - Distributed, Parallel, and Cluster Computing, 0103 physical sciences, Krylov subspace methods, Distributed memory parallelism, Distributed, Parallel, and Cluster Computing (cs.DC), Physics - Computational Physics, Unitary quantum dynamics

Zugangs-URL: http://arxiv.org/pdf/1704.02770
http://arxiv.org/abs/1704.02770
https://research.tue.nl/en/publications/8e8df90a-9bf5-4a5e-83fc-d7a20cb86bd3
https://doi.org/10.1016/j.cpc.2018.08.010
https://arxiv.org/abs/1704.02770v1
https://dblp.uni-trier.de/db/journals/corr/corr1704.html#BrenesVSG17
https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F8e8df90a-9bf5-4a5e-83fc-d7a20cb86bd3
https://www.sciencedirect.com/science/article/pii/S0010465518303060
https://ui.adsabs.harvard.edu/abs/2019CoPhC.235..477B/abstract
http://export.arxiv.org/pdf/1704.02770

Improving the scalability of the ABCD Solver with a combination of new load balancing and communication minimization techniques

Autoren: Duff, Iain Leleux, Philippe Ruiz, Daniel et al.

Weitere Verfasser: Duff, Iain Leleux, Philippe Ruiz, Daniel et al.

Quelle: Proceedings of ParCo19: ; Parco 2019: Parallel Computing Conference ; https://hal.science/hal-02893783 ; Parco 2019: Parallel Computing Conference, Sep 2019, Prague, Czech Republic. ⟨10.3233/APC200052⟩

Schlagwörter: distributed memory parallelism, iterative solver, Block Cimmino, hybrid solver, sparse matrix, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]

Geographisches Schlagwort: Prague, Czech Republic

Verfügbarkeit: https://hal.science/hal-02893783
https://hal.science/hal-02893783v1/document
https://hal.science/hal-02893783v1/file/Cerfacs_report_ParCo.pdf
https://doi.org/10.3233/APC200052

Scalable Adaptive PDE Solvers in Arbitrary Domains

Autoren: Saurabh, Kumar Ishii, Masado Fernando, Milinda et al.

Weitere Verfasser: Saurabh, Kumar Ishii, Masado Fernando, Milinda et al.

Quelle: https://doi.org/10.1145/3458817.3476220.

Schlagwörter: DegreeDisciplines::Engineering::Mechanical Engineering::Acoustics, Dynamics, and Controls, Incomplete octrees, matrix-free, finite element method, distributed memory parallelism

Dateibeschreibung: application/pdf

Relation: https://dr.lib.iastate.edu/handle/20.500.12876/7rKoD6mr

Verfügbarkeit: https://dr.lib.iastate.edu/handle/20.500.12876/7rKoD6mr
https://hdl.handle.net/20.500.12876/7rKoD6mr

A visual performance analysis framework for celerity

Autoren: Schaffenrath, Robert

Schlagwörter: Hochleistungsrechnen, GPGPU, Celerity, SYCL, Distributed Memory Parallelism, High-Performance Computing, Distirubted Memory Parallelism

Geographisches Schlagwort: UI:MI:IK

Dateibeschreibung: vi, 45 Seiten; text/html; Diagramme

Relation: vignette : https://ulb-dok.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:1-91703/128; local:99146390546603331; system:AC16371290

Verfügbarkeit: https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-91703

High-level C++ for accelerator clusters : introducing the celerity runtime ; High level

Autoren: Salzmann, Philip

Schlagwörter: hochleistungsrechnen, GPGPU, SYCL, OpenCL, distributed memory parallelism, high-performance computing

Geographisches Schlagwort: Innsbruck, UI:MI:IK

Dateibeschreibung: vii, 62 Seiten; text/html; Illustrationen, Diagramme

Relation: vignette : https://ulb-dok.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:1-44468/128; local:99145031872003331; system:AC15446493

Verfügbarkeit: https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-44468

High-level C++ for accelerator clusters: introducing the celerity runtime

Autoren: Salzmann, Philip Thoman, Peter Universitätsbibliothek

Weitere Verfasser: Salzmann, Philip Thoman, Peter Universitätsbibliothek

Schlagwörter: SYCL, hochleistungsrechnen, OpenCL, GPGPU, high-performance computing, distributed memory parallelism

Zugangs-URL: https://ulb-dok.uibk.ac.at/id/3367250
https://permalink.obvsg.at/UIB/AC15446493

Hypergraph models for parallel sparse matrix-matrix multiplication ; Paralel seyrek matris-matris çarpımı için hiperçizge modelleri

Autoren: Akbudak, Kadir Aykanat, Cevdet

Weitere Verfasser: Akbudak, Kadir Aykanat, Cevdet

Schlagwörter: Sparse matrices, Matrix partitioning, Parallel computing, Distributed memory parallelism, Generalized matrix multiplication, GEMM, Sparse matrixmatrix multiplication, SpGEMM, Computational hypergraph model, Hypergraph partitioning, BLAS (Basic Linear Algebra Subprograms) Level 3 operations, Molecular dynamics simulations, Graph operations, Linear programming

Dateibeschreibung: xv, 107 leaves : charts.; application/pdf

Relation: http://hdl.handle.net/11693/29038; B151489

Verfügbarkeit: http://hdl.handle.net/11693/29038

Hypergraph models for parallel sparse matrix-matrix multiplication

Autoren: Akbudak, Kadir Aykanat, Cevdet Bilgisayar Mühendisliği Anabilim Dalı

Weitere Verfasser: Akbudak, Kadir Aykanat, Cevdet Bilgisayar Mühendisliği Anabilim Dalı

Schlagwörter: Parallel computing, SpGEMM, Matrix partitioning, Molecular dynamics simulations, Hypergraph partitioning, BLAS (Basic Linear Algebra Subprograms) Level 3 operations, Hypergraphs, Computational hypergraph model, Computer Engineering and Computer Science and Control, Generalized matrix multiplication, GEMM, Sparse matrixmatrix multiplication, Linear programming, Sparse matrices, Distributed memory parallelism, Graph operations, Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol

Dateibeschreibung: application/pdf; xv, 107 leaves : charts.

Zugangs-URL: https://acikbilim.yok.gov.tr/handle/20.500.12812/34420
https://hdl.handle.net/11693/29038

Global Acoustic 2D in XcalableACC

Autoren: Noriyuki Kushida orcid:0000-0002-8517-

Schlagwörter: acoustic propagation, infrasound, hydroacoustic, yin-yang grid, XcalableACC, OpenACC, distributed memory parallelism

Relation: https://zenodo.org/records/3971897; oai:zenodo.org:3971897; https://doi.org/10.5281/zenodo.3971897

Verfügbarkeit: https://doi.org/10.5281/zenodo.3971897
https://zenodo.org/records/3971897

Layer potential evaluations on distributed memory machines

Autoren: Gao, Hao Kloeckner, Andreas

Weitere Verfasser: Gao, Hao Kloeckner, Andreas

Schlagwörter: Layer Potentials, Distributed Memory Parallelism, Integral Equations, Singular Integrals, Fast Multipole Method

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/2142/108032

Verfügbarkeit: http://hdl.handle.net/2142/108032

MPI+X: task-based parallelisation and dynamic load balance of finite element assembly

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, Application program interfaces (Computer software), Parallel processing (Electronic computers), Finite element method, CFD, Finite element, MPI+X, MPI, OpenMP, Dynamic load balance, Shared-memory parallelism, Distributed memory parallelism, Hybrid parallelism, Interfícies de programació d'aplicacions (Programari), Elements finits, Mètode dels, Processament en paral·lel (Ordinadors), Article

URL: http://hdl.handle.net/2117/186149
https://iahr.tandfonline.com/doi/abs/10.1080/10618562.2019.1617856#.Xq_p7Kgza7R
https://iahr.tandfonline.com/doi/abs/10.1080/10618562.2019.1617856#.Xq_p7Kgza7R
info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII
info:eu-repo/grantAgreement/AGAUR/V PRI/2014 SGR 1051
info:eu-repo/grantAgreement/EC/H2020/689772/EU/HPC for Energy/HPC4E
info:eu-repo/grantAgreement/EC/H2020/676629/EU/Energy oriented Centre of Excellence for computer applications/EoCoE
info:eu-repo/grantAgreement/MINECO//SEV-2015-0493/ES/BARCELONA SUPERCOMPUTING CENTER - CENTRO. NACIONAL DE SUPERCOMPUTACION