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Assessing gains from parallel computation on a supercomputer

Maliar, Lilia - In: Economics Bulletin 35 (2015) 1, pp. 159-167

shared and distributive memory programming (OpenMP&MPI) leads to a higher efficiency of parallelization than the distributive … minute depending on the number of cores employed. For small problems, the shared memory programming (OpenMP) and a hybrid of … memory programming (MPI) alone. …

Persistent link: https://www.econbiz.de/10011199638

Assessing gains from parallel computation on supercomputers

Maliar, Lilia - Instituto Valenciano de Investigaciones Económicas (IVIE) - 2013

minute depending on the number of cores employed. For small problems, the shared memory programming (OpenMP) leads to a … higher efficiency of parallelization than the distributive memory programming (MPI). …

Persistent link: https://www.econbiz.de/10010723497

Using RngStreams for parallel random number generation in C++ and R

Karl, Andrew; Eubank, Randy; Milovanovic, Jelena; … - In: Computational Statistics 29 (2014) 5, pp. 1301-1320

that are parallelized via <Emphasis FontCategory="NonProportional">OpenMP or <Emphasis FontCategory="NonProportional">MPI …

Persistent link: https://www.econbiz.de/10010998545

Multi-core CPUs, Clusters, and Grid Computing: A Tutorial

Creel, Michael; Goffe, William - In: Computational Economics 32 (2008) 4, pp. 353-382

Persistent link: https://www.econbiz.de/10005701663

Parallelization and analysis of selected numerical algorithms using OpenMP and Pluto on symmetric multiprocessing machine

Sardar, Tanvir Habib; Faizabadi, Ahmed Rimaz - In: Data Technologies and Applications 53 (2019) 1, pp. 20-32

numeric algorithms are parallelized using hand parallelization using OpenMP and auto parallelization using Pluto tool … algorithms execute more efficiently using OpenMP hand parallelization. Originality/value The work provides an original work on … parallelization using OpenMP programming paradigm and Pluto tool. …

Persistent link: https://www.econbiz.de/10014712671

Design and Development of a Parallel Lexical Analyzer for C Language

Jena, Swagat Kumar; Das, Satyabrata; Sahoo, Satya Prakash - In: International Journal of Knowledge-Based Organizations … 8 (2018) 1, pp. 68-82

tokens in an input stream in parallel. We use the parallel constructs available in OpenMP to achieve parallelism in the …

Persistent link: https://www.econbiz.de/10012046177

SIMD parallel MCMC sampling with applications for big-data Bayesian analytics

Mahani, Alireza S.; Sharabiani, Mansour T.A. - In: Computational Statistics & Data Analysis 88 (2015) C, pp. 75-99

Computational intensity and sequential nature of estimation techniques for Bayesian methods in statistics and machine learning, combined with their increasing applications for big data analytics, necessitate both the identification of potential opportunities to parallelize techniques such as...

Persistent link: https://www.econbiz.de/10011264455

Adapting and optimizing the systemic model of banking originated losses (SYMBOL) tool to the multi-core architecture

Muresano, Ronal; Pagano, Andrea - In: Computational economics 48 (2016) 2, pp. 253-280

Persistent link: https://www.econbiz.de/10011646741

Parallel optimization over the integer efficient set

Younes, Djellouli; Sarah, Hamadou; Djamal, Chaabane - In: International transactions in operational research : a … 31 (2024) 3, pp. 1949-1974

Persistent link: https://www.econbiz.de/10014470631

Estimates of multidimensional poverty for India using NSSO-71 and -75

Mothkoor, Venugopal; Badgaiyan, Nina - 2021

use income, health, education, and standard of living to measure the MPI. The MPI headcount declined from 26.9 to 13 … chronic conditions. Income is the dominant instrument with the highest contribution to the MPI, followed by insurance. Cooking …

Persistent link: https://www.econbiz.de/10012424165