Search Results - subject:"CUDA"

Development of software and algorithms of parallel learning of artificial neural networks using CUDA technologies

Sokolovskyy, Yaroslav; Manokhin, Denys; Kaplunsky, Yaroslav - In: Technology audit and production reserves 5 (2021) 2/61, pp. 21-25

Persistent link: https://www.econbiz.de/10013167345

Parallel computation of sovereign default models

Deng, Mingzhuo; Guerrón-Quintana, Pablo A.; Tseng, Lewis - In: Computational economics 62 (2023) 3, pp. 1047-1085

Persistent link: https://www.econbiz.de/10014382860

GPU-based approach to large scale dynamic vehicle routing problem

Berrajaa, Achraf; Benaini, Abdelhamid - In: International journal of logistics systems and … 41 (2022) 1/2, pp. 225-242

Persistent link: https://www.econbiz.de/10013093004

Evaluation of gas sales agreements with indexation using tree and least-squares Monte Carlo methods on graphics processing units

Dong, Wenfeng; Kang, Boda - In: Quantitative finance 21 (2021) 3, pp. 501-522

Persistent link: https://www.econbiz.de/10012483836

CUDA accelerated HAPO (C-HAPO) algorithm for fast responses in vehicular ad hoc networks

Jindal, Vinita; Bedi, Punam - In: Strategic system assurance and business analytics, (pp. 315-324). 2020

Persistent link: https://www.econbiz.de/10012240983

Level 2 reformulation linearization technique-based parallel algorithms for solving large quadratic assignment problems on graphics processing unit clusters

Date, Ketan; Nagi, Rakesh - In: INFORMS journal on computing : JOC 31 (2019) 4, pp. 771-789

Persistent link: https://www.econbiz.de/10012125744

Developing a High Performance Software Library with MPI and CUDA for Matrix Computations

Oancea, Bogdan; Andrei, Tudorel - In: Computational Methods in Social Sciences (CMSS) 1 (2013) 2, pp. 5-10

Nowadays, the paradigm of parallel computing is changing. CUDA is now a popular programming model for general purpose … computations on GPUs and a great number of applications were ported to CUDA obtaining speedups of orders of magnitude comparing to … GPU computations using MPI and CUDA for developing a high performance linear algebra library. Our library deals with large …

Persistent link: https://www.econbiz.de/10010791357

Using Inter-Block Synchronization to Improve the Knapsack Problem on GPUs

Sun, Xue; Wu, Chao-Chin; Chen, Liang-Rui; Lin, Jian-You - In: International Journal of Grid and High Performance … 10 (2018) 4, pp. 83-98

This article describes how as one of the hot parallel processors, the general-purpose graphics processing unit (GPU) has been widely adopted to accelerate various time-consuming algorithms. Dynamic programming (DP) optimization is a popular method to solve a particular class of complex problems....

Persistent link: https://www.econbiz.de/10012045086

Accelerating Petri-Net simulations using NVIDIA Graphics Processing Units

Yianni, Panayioti C.; Neves, Luis C.; Rama, Dovile; … - In: European journal of operational research : EJOR 265 (2018) 1, pp. 361-371

Persistent link: https://www.econbiz.de/10011805494

Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

LUNGU, Ion; PETROSANU, Dana-Mihaela; PIRJAN, Alexandru - In: Informatica Economica 16 (2012) 3, pp. 72-86

graphics processing units (GPUs) that implement the Compute Unified Device Architecture (CUDA), a modern and novel approach for … steps in CUDA, we have progressively developed and implemented optimization solutions for the reduction function. In order … processing units covering the main CUDA architectures (Tesla GT200, Fermi GF100, Kepler GK104) and a central processing unit; the …

Persistent link: https://www.econbiz.de/10011132276