Search Results - Concurrent Programming –parallel programming. Keywords High Performance Computing*

Implementing Multifrontal Sparse Solvers for Multicore Architectures with Sequential Task Flow Runtime Systems

Authors: Agullo, Emmanuel Buttari, Alfredo Guermouche, Abdou et al.

Contributors: Agullo, Emmanuel Buttari, Alfredo Guermouche, Abdou et al.

Source: ACM Transactions on Mathematical Software. 43:1-22

Subject Terms: [INFO.INFO-DC]Computer Science [cs]/Distributed, G13 [Numerical Analysis]: Numerical Linear Algebra, memory-aware, multicores, 02 engineering and technology, runtime systems, communication-avoiding, Parallel, 01 natural sciences, Categories and Subject Descriptors: D13 [Programming Techniques]: Concurrent Programming, and Cluster Computing [cs.DC], G4 [Mathematical Software] General Terms: Algorithms, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, Performance Additional Key Words and Phrases: Sparse direct solvers, 0101 mathematics

File Description: application/pdf

Access URL: https://hal.inria.fr/hal-01333645/file/toms_qrm_starpu.pdf
https://inria.hal.science/hal-01333645v1
https://doi.org/10.1145/2898348
https://inria.hal.science/hal-01333645v1/document
https://hal.inria.fr/hal-01333645/document
https://dl.acm.org/doi/abs/10.1145/2898348
https://dblp.uni-trier.de/db/journals/toms/toms43.html#AgulloBGL16
https://hal.archives-ouvertes.fr/hal-01333645
https://hal.inria.fr/hal-01333645
https://hal-univ-tlse3.archives-ouvertes.fr/hal-01333645v1

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.

A survey of concurrency-oriented refactoring.

Authors: Zhang, Yang Li, Liuxu Zhang, Dongwen

Source: Concurrent Engineering: Research & Applications; Dec2020, Vol. 28 Issue 4, p319-330, 12p

Subject Terms: PARALLEL programming, PROGRAMMING languages, SURVEYS

A Stream-Order Family and Order-Based Parallel River Network Routing Method.

Authors: Yang, Xi Wei, Chong Li, Zhiping et al.

Source: Water (20734441); Jul2024, Vol. 16 Issue 14, p1965, 16p

Subject Terms: FLOOD forecasting, PARALLEL programming, WATERSHEDS, SCALABILITY, FORECASTING

Model of Series-Parallel Photovoltaic Arrays Using Double-Diode Model and Parallel Computing.

Authors: Bastidas-Rodríguez, Juan David Ramos-Paja, Carlos Andrés Serna-Garcés, Sergio Ignacio

Source: Computation; Jun2022, Vol. 10 Issue 6, p100-N.PAG, 17p

Subject Terms: PARALLEL programming, LOW voltage systems, DESIGN techniques

A Highly Configurable High-Level Synthesis Functional Pattern Library.

Authors: Huang, Lan Gao, Teng Li, Dalin et al.

Source: Electronics (2079-9292); Mar2021, Vol. 10 Issue 5, p532-532, 1p

Subject Terms: PARALLEL programming, HETEROGENEOUS computing, FIELD programmable gate arrays, DATA structures, PROGRAMMING languages, VIDEO coding, CHEMICAL templates

An improved approximate parallel prefix adder for high performance computing applications: a comparative analysis.

Authors: Anagani, Vamsidhar Geethanjali, Kasi Gorantla, Anusha et al.

Source: International Journal of Informatics & Communication Technology (IJ-ICT); Aug2025, Vol. 14 Issue 2, p382-392, 11p

Subject Terms: DIGITAL signal processing, HIGH performance computing, DIGITAL electronics, PARALLEL programming, SUFFIXES & prefixes (Grammar)

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

Authors: Cardosi, Paul Bramas, Bérenger

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

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

Parallelization of the Koopman Operator Based on CUDA and Its Application in Multidimensional Flight Trajectory Prediction.

Authors: Lu, Jing Wang, Lulu Shang, Zeyi

Source: Electronics (2079-9292); Sep2025, Vol. 14 Issue 18, p3609, 23p

Subject Terms: PARALLEL programming, HIGH performance computing, OPERATOR equations, GRAPHICS processing units, FLIGHT planning (Aeronautics), PARALLEL processing, OPTIMIZATION algorithms, MATHEMATICS

A Case Study on Virtual HPC Container Clusters and Machine Learning Applications.

Authors: Krogulski, Piotr Rak, Tomasz

Source: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7433, 32p

Subject Terms: HIGH performance computing, MACHINE learning, CONTAINER design & construction, PARALLEL programming, ADAPTIVE computing systems, ANOMALY detection (Computer security), VIRTUAL machine systems, COMPUTER workstation clusters

Efficient Reliability Block Diagram Evaluation Through Improved Algorithms and Parallel Computing.

Authors: Gori, Gloria Papini, Marco Fantechi, Alessandro

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11397, 27p

Subject Terms: PARALLEL programming, COMPUTATIONAL complexity, MATHEMATICAL optimization, REAL-time computing, EMBEDDED computer systems, STATISTICAL reliability, MECHANICAL efficiency, RELIABILITY in engineering

Foot‐and‐Mouth Disease in Bolivia: Simulation‐Based Assessment of Control Strategies and Vaccination Requirements.

Authors: Cardenas, Nicolas C. Santos, Diego Viali dos Lima, Daniel Magalhães et al.

Source: Transboundary & Emerging Diseases. 9/26/2025, Vol. 2025, p1-10. 10p.

Towards Efficient HPC: Exploring Overlap Strategies Using MPI Non-Blocking Communication.

Authors: Zheng, Yuntian Wu, Jianping

Source: Mathematics (2227-7390); Jun2025, Vol. 13 Issue 11, p1848, 22p

Subject Terms: SCIENTIFIC computing, PARALLEL programming, RESEARCH personnel, ATMOSPHERIC models, COMPUTER simulation

High-Performance Mobility Simulation: Implementation of a Parallel Distributed Message-Passing Algorithm for MATSim †.

Authors: Laudan, Janek Heinrich, Paul Nagel, Kai

Source: Information; Feb2025, Vol. 16 Issue 2, p116, 26p

Subject Terms: PARALLEL programming, DISTRIBUTED algorithms, TRAFFIC flow, ALGORITHMS, PROTOTYPES

Error Classification and Static Detection Methods in Tri-Programming Models: MPI, OpenMP, and CUDA.

Authors: Altalhi, Saeed Musaad Eassa, Fathy Elbouraey Sharaf, Sanaa Abdullah et al.

Source: Computers (2073-431X); May2025, Vol. 14 Issue 5, p164, 34p

Subject Terms: MULTICORE processors, PARALLEL programming, COMPUTER science, COMPUTER software testing, SOURCE code

Performance evaluation of Java/PCJ implementation of parallel algorithms on the cloud (extended version).

Authors: Nowicki, Marek Górski, Łukasz Bała, Piotr

Source: Concurrency & Computation: Practice & Experience; 7/10/2023, Vol. 35 Issue 15, p1-15, 15p

Subject Terms: PARALLEL algorithms, ARM microprocessors, PARALLEL programming, WEB services, ELECTRONIC data processing, HIGH performance computing, CLOUD computing

Company/Entity: INTEL Corp.

Yes, There Is an “Expertise Gap” In HPC Applications Development

Authors: Susan Squires Michael L. Van De Vanter et al.

Contributors: Susan Squires Michael L. Van De Vanter et al.

Source: http://vandevanter.net/mlvdv/publications/squiresvdvvotta-pphec06-han.pdf.

Subject Terms: Techniques, Concurrent Programming –parallel programming. Keywords High Performance Computing, Software Productivity

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.474.1138

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.474.1138
http://vandevanter.net/mlvdv/publications/squiresvdvvotta-pphec06-han.pdf

ANALYSIS OF PARELLEL MULTIPROCESSOR EXECUTION OF DIFFERENT PROGRAMMING APPROACHES.

Authors: Djinevski, Leonid

Source: Knowledge: International Journal; 2024, Vol. 65 Issue 3, p293-297, 5p

Subject Terms: MULTIPROCESSORS, COMPUTER programming, ALGORITHMS, COMPUTER software, DECISION making

Exploring the performance and mapping of hpc applications to platforms in the cloud

Authors: Abhishek Gupta Laxmikant V. Kalé Chun Hui Suen et al.

Contributors: Abhishek Gupta Laxmikant V. Kalé Chun Hui Suen et al.

Source: http://charm.cs.illinois.edu/newPapers/12-19/abs.pdf.

Subject Terms: Categories and Subject Descriptors D.1.3 [Concurrent Programming, Parallel Programming, K.6.4 [System Management, Centralization/decentralization Keywords High Performance Computing, Clouds, Resource Scheduling Copyright is held by the author/owner(s). HPDC’12, June 18–22

Time: 2012

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.6097

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.6097
http://charm.cs.illinois.edu/newPapers/12-19/abs.pdf

Extending parallel programming patterns with adaptability features.

Authors: Galante, Guilherme da Rosa Righi, Rodrigo de Andrade, Cristiane

Source: Cluster Computing; Dec2024, Vol. 27 Issue 9, p12547-12568, 22p

Subject Terms: ELASTICITY, COMPUTERS, COMPUTER software, PARALLEL programming, HARDWARE