Výsledky vyhledávání - Augment parallel programming processes

An asynchronous proximal bundle method: An asynchronous proximal bundle method: F. Fischer.

Autoři: Fischer, Frank

Zdroj: Mathematical Programming; Jan2025, Vol. 209 Issue 1, p825-857, 33p

Témata: MACHINE learning, PARALLEL programming, POINT processes, PARALLEL processing, INFORMATION sharing

Sequential adaptive design for emulating costly computer codes.

Autoři: Mohammadi, Hossein Challenor, Peter

Zdroj: Journal of Statistical Computation & Simulation; Feb2025, Vol. 95 Issue 3, p654-675, 22p

Témata: GAUSSIAN processes, PARALLEL programming, COMPUTER programming, COMPUTER simulation, ALGORITHMS

Towards distributed two-stage stochastic optimization.

Autoři: Emek, Yuval Harlev, Noga Izumi, Taisuke

Zdroj: Distributed Computing. Dec2025, Vol. 38 Issue 4, p377-395. 19p.

Témata: *STOCHASTIC programming, *GRAPH algorithms, *PARALLEL programming, *DISTRIBUTION (Probability theory), *MONTE Carlo method, *DISCRETE systems

Augmenting MPI Programming Process with Cognitive Computing

Autoři: Kazilas, Panagiotis

Témata: Parallel Programming, Cognitive Computing, Distributed parallel programming, MPI, IBM Watson, IBM Assistant service, IBM Discovery service, MPI Assistance, Augment parallel programming processes, Computer Systems, Datorsystem

Popis souboru: application/pdf

Dostupnost: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-88913

基于无冲突并行随机梯度下降的图布局求解方法. (Chinese)

Alternate Title: Graph Drawing by Conflict-Free Parallel Stochastic Gradient Descent. (English)

Autoři: 王智 薛明亮 王一凡 a další

Zdroj: Journal of Computer-Aided Design & Computer Graphics / Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao; Jun2025, Vol. 37 Issue 6, p1063-1072, 10p

Témata: TEST methods, PARALLEL programming, ALGORITHMS, SPEED

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

Autoři: Gori, Gloria Papini, Marco Fantechi, Alessandro

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

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

Dynamic Programming for Designing and Valuing Two-Dimensional Financial Derivatives.

Autoři: Ben-Abdellatif, Malek Ben-Ameur, Hatem Chérif, Rim a další

Zdroj: Risks; Dec2024, Vol. 12 Issue 12, p183, 15p

Témata: DERIVATIVE securities, PARALLEL programming, DYNAMIC programming, POLYNOMIALS, BONDS (Finance)

Fast Deep Belief Propagation: An Efficient Learning-Based Algorithm for Solving Constraint Optimization Problems.

Autoři: Kong, Shufeng Chen, Feifan Wang, Zijie a další

Zdroj: Mathematics (2227-7390); Oct2025, Vol. 13 Issue 20, p3349, 18p

Témata: DEEP learning, SCALABILITY, MATHEMATICAL optimization, SUPERVISED learning, MESSAGE passing (Computer science), CONSTRAINT programming, PARALLEL programming, COMPUTER memory management

On the use of stochastic logic for nonlinear circuits and systems

Autoři: Camps Pascual, Oscar Vicente

Thesis Advisors: Picos Gayà, Rodrigo, Stavrinides, Stavros G.

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Computación estocástica, Memristores, Sistemas no lineales, Computación Estocástica

Time: 621.3

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/688339

Parallel Instruction of Text-based and Block-based Programming: On Novice Programmers' Computational Thinking Practices.

Autoři: Jeon, Minji Kwon, Kyungbin

Zdroj: TechTrends: Linking Research & Practice to Improve Learning; Nov2024, Vol. 68 Issue 6, p1033-1050, 18p

Témata: COMPUTER science education, PARALLEL programming, STUDENT teachers, MODULAR design, CONCEPT learning

Parallel mechanical computing: Metamaterials that can multitask.

Autoři: Mousa, Mohamed Nouh, Mostafa

Zdroj: Proceedings of the National Academy of Sciences of the United States of America; 12/24/2024, Vol. 121 Issue 52, p1-20, 28p

Témata: COMPUTER multitasking, PARALLEL programming, CALCULATORS, DIGITAL technology, METAMATERIALS

Convection Augmented Gauss Reconstruction for Unoriented Point Clouds.

Autoři: MA, YUEJI XIAO, DONG SHI, ZUOQIANG a další

Zdroj: ACM Transactions on Graphics; Oct2025, Vol. 44 Issue 5, p1-18, 18p

Témata: SURFACE reconstruction, POINT cloud, FLOW velocity, PARALLEL programming

A robust multi-objective Bayesian optimization framework considering input uncertainty.

Autoři: Qing, Jixiang Couckuyt, Ivo Dhaene, Tom

Zdroj: Journal of Global Optimization; Jul2023, Vol. 86 Issue 3, p693-711, 19p

Témata: ROBUST optimization, GAUSSIAN processes, PARALLEL programming, ENGINEERING design, GLOBAL optimization

A Parallel Framework of Adaptive Dynamic Programming Algorithm With Off-Policy Learning.

Autoři: Sun, Changyin Li, Xiaofeng Sun, Yuewen

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Aug2021, Vol. 32 Issue 8, p3578-3587, 10p

Témata: DYNAMIC programming, MACHINE learning, ALGORITHMS, NONLINEAR systems, NONLINEAR equations, PARALLEL programming, ITERATIVE learning control

A Parallel Social Spider Optimization Algorithm Based on Emotional Learning.

Autoři: Lai, Zhaolin Feng, Xiang Yu, Huiqun a další

Zdroj: IEEE Transactions on Systems, Man & Cybernetics. Systems; Feb2021, Vol. 51 Issue 2, p797-808, 12p

Témata: PROCESS optimization, PARALLEL programming, COMPUTATIONAL complexity, MACHINE learning, REINFORCEMENT learning, LEARNING, PARTICLE swarm optimization

Parsl: Pervasive Parallel Programming in Python

Autoři: Babuji, Yadu Woodard, Anna Li, Zhuozhao a další

Témata: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Programming Languages, text

URL: http://arxiv.org/abs/1905.02158

consICA: an R package for robust reference-free deconvolution of multi-omics data.

Autoři: Chepeleva, Maryna Kaoma, Tony Zinovyev, Andrei a další

Zdroj: Bioinformatics Advances; 2024, Vol. 4 Issue 1, p1-4, 4p

Témata: INDEPENDENT component analysis, DATA integration, PARALLEL programming, MULTIOMICS, DISEASE progression

Parsl: Pervasive Parallel Programming in Python

Autoři: Katz, Daniel S. Yadu Babuji Woodard, Anna a další

Zdroj: Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing. :25-36

Témata: FOS: Computer and information sciences, Computer Science - Programming Languages, Computer Science - Distributed, Parallel, and Cluster Computing, 0202 electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), 02 engineering and technology, Programming Languages (cs.PL)

Přístupová URL adresa: https://dl.acm.org/doi/pdf/10.1145/3307681.3325400
http://arxiv.org/abs/1905.02158
http://ui.adsabs.harvard.edu/abs/2019arXiv190502158B/abstract
https://arxiv.org/pdf/1905.02158.pdf
https://arxiv.org/abs/1905.02158
https://dl.acm.org/doi/10.1145/3307681.3325400
http://doi.org/10.1145/3307681.3325400
https://experts.illinois.edu/en/publications/parsl-pervasive-parallel-programming-in-python
https://dblp.uni-trier.de/db/journals/corr/corr1905.html#abs-1905-02158
https://doi.org/10.1145/3307681.3325400
https://dl.acm.org/doi/pdf/10.1145/3307681.3325400

Split-bucket partition (SBP): a novel execution model for top-K and selection algorithms on GPUs.

Autoři: Yang, Yiqing Zhang, Guoyin Wu, Yanxia a další

Zdroj: Journal of Supercomputing; Jul2024, Vol. 80 Issue 11, p15122-15160, 39p

Témata: ALGORITHMS, DATA analysis, ELECTRONIC data processing, GRAPHICS processing units, PARALLEL programming

Enhancing Kokkos with OpenACC.

Autoři: Valero-Lara, Pedro Lee, Seyong Gonzalez-Tallada, Marc a další

Zdroj: International Journal of High Performance Computing Applications; Sep2024, Vol. 38 Issue 5, p409-426, 18p

Témata: LATTICE Boltzmann methods, PARALLEL programming, HETEROGENEOUS computing, C++