Search Results - Computing methodologies → Massively parallel algorithms~

An Efficient and Scalable Approach to Build Co-occurrence Matrix for DNN's Embedding Layer

Authors: Petit, Quentin Li, Chong Emad, Nahid et al.

Contributors: Petit, Quentin Li, Chong Emad, Nahid et al.

Source: Proceedings of the 38th ACM International Conference on Supercomputing. :286-297

Subject Terms: [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-DC]Computer Science [cs]/Distributed, Information extraction, Natural language processing, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Parallel, Distributed computing, Sparse matrix, Computing methodologies → Massively parallel algorithms, and Cluster Computing [cs.DC], Large-scale data analytics, Control methods Deep Learning, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC], Co-occurrence matrix, Computing methodologies → Massively parallel algorithms Natural language processing Information extraction Control methods Deep Learning, Embedding

File Description: application/pdf

Access URL: https://hal.science/hal-04719623v1
https://hal.science/hal-04719623v1/document
https://doi.org/10.1145/3650200.3656629

In Situ Workload Estimation for Block Assignment and Duplication in Parallelization‐Over‐Data Particle Advection.

Authors: Wang, Zhe Moreland, Kenneth Larsen, Matthew et al.

Source: Computer Graphics Forum. Jun2025, Vol. 44 Issue 3, p1-12. 12p.

Subject Terms: *WORKFLOW management, *MATHEMATICAL optimization, *DISTRIBUTED computing, *CAPACITY management (Computers), *ALGORITHMS, LOAD balancing (Computer networks), PARTICLE motion, APPLIED sciences

QuickSES: A Library for Fast Computation of Solvent Excluded Surfaces

Authors: Martinez, Xavier Krone, Michael Baaden, Marc et al.

Contributors: Martinez, Xavier Krone, Michael Baaden, Marc et al.

Subject Terms: Computing methodologies → Massively parallel algorithms, 0301 basic medicine, 03 medical and health sciences, CCS Concepts, Massively parallel algorithms, 0202 electrical engineering, electronic engineering, information engineering, Applied computing, Molecular structural biology, 02 engineering and technology, Applied computing → Molecular structural biology, [INFO] Computer Science [cs], Computing methodologies

File Description: application/pdf

Access URL: https://diglib.eg.org/handle/10.2312/molva20191095
https://dblp.uni-trier.de/db/conf/molva-ws/molva-ws2019.html#MartinezKB19
https://hal.science/hal-02370900v1
https://doi.org/10.2312/molva.20191095
https://hal.science/hal-02370900v1/document

Joint Schedule and Layout Autotuning for Sparse Matrices with Compound Entries on GPUs

Authors: Mueller-Roemer, Johannes Sebastian Stork, André Fellner, Dieter W.

Source: Vision, Modeling and Visualization

Subject Terms: Parallel programming languages, Massively parallel algorithms, Computations on matrices, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences, Mathematics of computing, Computing methodologies

Access URL: https://diglib.eg.org/handle/10.2312/vmv20191324
https://graz.pure.elsevier.com/en/publications/joint-schedule-and-layout-autotuning-for-sparse-matrices-with-com

A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices

Authors: Barcelona Supercomputing Center Lass, Michael Mohr, Stephan et al.

Index Terms: Àrees temàtiques de la UPC::Informàtica, Parallel algorithms, Computational methods in engineering, Mathematics of computing, Computations on matrices, Theory of computation, Numeric approximation algorithms, Massively parallel algorithms, Distributed algorithms, Computing methodologies, Applied computing, Algorismes paral·lels, Supercomputadors, Conference lecture

URL: http://hdl.handle.net/2117/120202
https://dl.acm.org/citation.cfm?id=3218231
https://dl.acm.org/citation.cfm?id=3218231
info:eu-repo/grantAgreement/EC/H2020/716142/EU/Unravelling the Nature of Green Organic “On-Water” Catalysis via Novel Quantum Chemical Methods/GreenOnWaterCat

An Overview of Hardware Implementation of Membrane Computing Models.

Authors: GEXIANG ZHANG ZEYI SHANG VERLAN, SERGEY et al.

Source: ACM Computing Surveys; Jul2021, Vol. 53 Issue 4, p90-90:38, 38p

Subject Terms: BIOLOGICALLY inspired computing, GATE array circuits, FIELD programmable gate arrays, PARALLEL algorithms, PARALLEL programming

Dynamic Buffer Management in Massively Parallel Systems: The Power of Randomness.

Authors: Pham M Yuan Y Li H et al.

Source: ACM transactions on parallel computing [ACM Trans Parallel Comput] 2025 Mar; Vol. 12 (1). Date of Electronic Publication: 2025 Feb 11.

Publication Type: Journal Article

Journal Info: Publisher: Association for Computing Machinery, Inc NLM ID: 9918937930806676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2329-4957 (Electronic) Linking ISSN: 23294949 NLM ISO Abbreviation: ACM Trans Parallel Comput Subsets: PubMed not MEDLINE

Comparison of GPU-based Methods for Handling Point Cloud Occlusion

Authors: Alfonso Ureña López Francisco R. Feito Emilio José Padrón et al.

Subject Terms: based models, 13. Climate action, Massively parallel algorithms, 1. No poverty, Visibility, 14. Life underwater, Computing methodologies, Point

Access URL: https://diglib.cgv.tugraz.at/handle/10.2312/ceig20211364
https://diglib.eg.org/handle/10.2312/ceig20211364

A Halfedge Refinement Rule for Parallel Catmull‐Clark Subdivision.

Authors: Dupuy, J. Vanhoey, K.

Source: Computer Graphics Forum. Dec2021, Vol. 40 Issue 8, p57-70. 14p. 1 Color Photograph, 2 Black and White Photographs, 3 Charts, 4 Graphs.

Subject Terms: *TOPOLOGY, *SPEED

Massively Parallel Monte Carlo Sampling for Xinanjiang Hydrological Model Parameter Optimization Using CPU-GPU Computer Cluster.

Authors: Kan, Guangyuan Li, Chenliang Zuo, Depeng et al.

Source: Water (20734441); Aug2023, Vol. 15 Issue 15, p2810, 22p

Subject Terms: HYDROLOGIC models, PARALLEL programming, COMPUTER workstation clusters, PROGRAMMING languages, COMPUTER systems, C++, SENSITIVITY analysis

Company/Entity: INTEL Corp., NVIDIA Corp.

ISAVS: Interactive scalable analysis and visualization system

Authors: Petruzza, Steve Venkat, Aniketh Gyulassy, Attila et al.

Contributors: Petruzza, Steve Venkat, Aniketh Gyulassy, Attila et al.

Subject Terms: Microscopy, Computing Methodologies → Massively Parallel Algorithms, Parallel Programming Languages, Software And Its Engineering → Development Frameworks And Environments, Integrated And Visual Development Environments, Interactive Visualization And Analysis, Algorithms Scalability, Parallel Custom Analysis Work-flows

Relation: Petruzza, S., Venkat, A., Gyulassy, A., Scorzelli, G., Federer, F., Angelucci, A., … Bremer, P.-T. (2017). ISAVS. SIGGRAPH Asia 2017 Symposium on Visualization. doi:10.1145/3139295.3139299; 2-s2.0-85040047900; PMC6105268; http://hdl.handle.net/10754/679392

Availability: http://hdl.handle.net/10754/679392
https://doi.org/10.1145/3139295.3139299

Parallel supercomputing: Advanced methods, algorithms and software for large-scale problems. Progress report, April 1991--April 1992

Contributors: Young, D

Source: Other Information: PBD: Apr 1992

File Description: Medium: ED; Size: 8 p.

Access URL: http://www.osti.gov/scitech/servlets/purl/10148128

A Prototype of a Scalable Multi-GPU Molecular Dynamics Simulator for Large Molecular Systems

Authors: Gonzalo Nicolas-Barreales Marcos Novalbos Miguel Angel Otaduy et al.

Subject Terms: Massively parallel algorithms, Graphics processors, Applied computing, Molecular structural biology, 7. Clean energy, Computing methodologies

Access URL: https://diglib.eg.org/handle/10.2312/ceig20181149
https://dblp.uni-trier.de/db/conf/ceig/ceig2018.html#Nicolas-Barreales18
https://doi.org/10.2312/ceig.20181149

Study on Large-Scale Urban Water Distribution Network Computation Method Based on a GPU Framework.

Authors: Zhang, Rongbin Hou, Jingming Li, Jingsi et al.

Source: Water (20734441); Sep2024, Vol. 16 Issue 18, p2642, 17p

Subject Terms: WATER management, WATER distribution, MUNICIPAL water supply, MATRIX inversion, WATER supply, PARALLEL algorithms, GRAPHICS processing units

Towards an Automated AI Based Simulation Framework in Aerospace Engineering

Authors: Neda Ebrahimi Pour Frank Dressel Sabine Roller

Source: Proceedings of the 2025 International Conference on High Performance Computing in Asia-Pacific Region Workshops. :58-60

Subject Terms: Massively parallel algorithms, Machine learning, Applied computing, High-performance simulations, Massively parallel, Computing methodologies, Aerospace

Scalable Distributed String Sorting

Authors: Kurpicz, Florian Mehnert, Pascal Sanders, Peter et al.

Subject Terms: ddc:004, strings, Theory of computation → Sorting and searching, Theory of computation → Massively parallel algorithms, Computing methodologies → Distributed algorithms, DATA processing & computer science, Theory of computation → Bloom filters and hashing, distributed membership filters, distributed-memory computing, sorting, scalability

File Description: application/pdf

Access URL: https://publikationen.bibliothek.kit.edu/1000174674
https://publikationen.bibliothek.kit.edu/1000174674/154926837
https://doi.org/10.5445/IR/1000174674

A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices

Authors: Lass, Michael Mohr, Stephan Wiebeler, Hendrik et al.

Contributors: Lass, Michael Mohr, Stephan Wiebeler, Hendrik et al.

Source: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Communications in Computational Physics
Proceedings of the Platform for Advanced Scientific Computing Conference on-PASC '18
Proceedings of the Platform for Advanced Scientific Computing Conference

Subject Terms: FOS: Computer and information sciences, Parallel algorithms, Computations on matrices, Mathematics of computing, 01 natural sciences, Computing methodologies, Supercomputadors, Informàtica [Àrees temàtiques de la UPC], Massively parallel algorithms, FOS: Mathematics, Mathematics - Numerical Analysis, 0101 mathematics, Theory of computation, Numeric approximation algorithms, Applied computing, Mathematics - Rings and Algebras, Numerical Analysis (math.NA), Algorismes paral·lels, Computer Science - Distributed, Parallel, and Cluster Computing, Rings and Algebras (math.RA), Distributed algorithms, Computer Science - Mathematical Software, Distributed, Parallel, and Cluster Computing (cs.DC), Àrees temàtiques de la UPC::Informàtica, Computational methods in engineering, Mathematical Software (cs.MS)

File Description: application/pdf

Access URL: http://arxiv.org/pdf/1703.02456
https://upcommons.upc.edu/bitstream/2117/120202/1/A%20Massively%20Parallel%20Algorithm%20for%20the%20Approximate%20Calculation.pdf
http://arxiv.org/abs/1703.02456
http://arxiv.org/abs/1710.10899
http://hdl.handle.net/2117/120202
http://export.arxiv.org/pdf/1710.10899
https://arxiv.org/pdf/1710.10899
https://arxiv.org/abs/1710.10899
https://ui.adsabs.harvard.edu/abs/2017arXiv171010899L/abstract
https://ui.adsabs.harvard.edu/abs/2017arXiv170302456R/abstract
https://arxiv.org/pdf/1703.02456.pdf
https://www.arxiv.org/abs/1703.02456
https://hdl.handle.net/2117/120202
https://doi.org/10.1145/3218176.3218231

Massively Parallel Large Scale Inundation Modelling

Authors: Rak, Arne-Tobias Guthe, Stefan Mewis, Peter

Subject Terms: Scientific visualization, Realtime simulation, 13. Climate action, Massively parallel algorithms, Massively parallel and high, Human centered computing, Geographic visualization, performance simulations, CCS Concepts: Human-centered computing --> Scientific visualization, Computing methodologies --> Realtime simulation, Massively parallel and high-performance simulations, Computing methodologies

Integrative pipeline for profiling DNA copy number and inferring tumor phylogeny.

Authors: Urrutia, Eugene Chen, Hao Zhou, Zilu et al.

Source: Bioinformatics. 34(12)

Subject Terms: Biological Sciences, Bioinformatics and Computational Biology, Genetics, Mathematical Sciences, Statistics, Cancer, Human Genome, Biotechnology, Aetiology, 2.5 Research design and methodologies (aetiology), 2.1 Biological and endogenous factors, Good Health and Well Being, Algorithms, DNA Copy Number Variations, Genomics, High-Throughput Nucleotide Sequencing, Humans, Models, Genetic, Models, Statistical, Neoplasms, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Software, Information and Computing Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/5sb98649
https://escholarship.org/content/qt5sb98649/qt5sb98649.pdf

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

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

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

Source: Astronomy and Computing. 30:100340

Subject Terms: 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

Access 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