Search Results - subject:"PARALLEL ALGORITHMS"

Ougiaroglou, Stefanos (contributor); … - 2023

The research field of data analysis and mining has attracted the interest of both academia and industry in recent years. This reprint contains 17 papers, which cover different topics of the broad research field of data analysis and mining. Each paper presents new data mining algorithms and...

Persistent link: https://www.econbiz.de/10015060957

Berth scheduling at marine container terminals : a universal island-based metaheuristic approach

Kavoosi, Masoud; Dulebenets, Maxim A.; Abioye, Olumide; … - In: Maritime business review 5 (2020) 1, pp. 30-66

Persistent link: https://www.econbiz.de/10012257283

An optimal approximation for submodular maximization under a matroid constraint in the adaptive complexity model

Balkanski, Eric; Rubinstein, Aviad; Singer, Yaron - In: Operations research 70 (2022) 5, pp. 2967-2981

Persistent link: https://www.econbiz.de/10014307144

Optimizing energy consumption of robotic cells by a Branch & Bound algorithm

Bukata, Libor; Šůcha, Přemysl; Hanzálek, Zdeněk - In: Computers & operations research : and their … 102 (2019), pp. 52-66

Persistent link: https://www.econbiz.de/10011948001

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 optimized CPU implementations. Hybrid...

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

CUDA BASED COMPUTATIONAL METHODS FOR MACROECONOMIC FORECASTS

OANCEA, Bogdan; ANDREI, Tudorel; DRAGOESCU, Raluca - In: New Trends in Modelling and Economic Forecast (MEF 2011) 1 (2012) 1, pp. 42-53

Parallel computing can offer an enormous advantage regarding the performance for very large applications in almost any field: economics, scientific computing, computer vision, databases, data mining. GPUs are high performance many-core processors that can obtain very high FLOP rates. Since the...

Persistent link: https://www.econbiz.de/10010791360

Route relaxations on GPU for vehicle routing problems

Boschetti, Marco Antonio; Maniezzo, Vittorio; … - In: European journal of operational research : EJOR 258 (2017) 2, pp. 456-466

Persistent link: https://www.econbiz.de/10011644127

Социо-эколого-экономическая модель региона в параллельных вычислениях

ИОСИФОВИЧ, ГУРМАН ВЛАДИМИР; … - In: Управление большими … (2011) 3, pp. 109-130

Разработана общая процедура (с методическими рекомендациями) приближенного синтеза оптимального управления для социоэколого-экономической модели региона....

Persistent link: https://www.econbiz.de/10011248410

A Framework for Megascale Agent Based Model Simulations on Graphics Processing Units

Lysenko, Mikola; D'Souza, Roshan M. - In: Journal of Artificial Societies and Social Simulation 11 (2008) 4, pp. 10-10

ABMs. We have developed a series of efficient, data parallel algorithms for handling environment updates, various agent …

Persistent link: https://www.econbiz.de/10005518508

A game-theoretic approach to graph clustering

Mandala, Supreet; Kumara, Soundar; Chatterjee, Kalyan - In: INFORMS journal on computing : JOC 26 (2014) 3, pp. 629-643

Persistent link: https://www.econbiz.de/10010399733