Extending parallel programming patterns with adaptability features
G Galante, R da Rosa Righi, C de Andrade - Cluster Computing, 2024 - Springer
Today, all computers have some degree of usable parallelism. Modern computers are
explicitly equipped with hardware support for parallelism, such as multiple nodes …
explicitly equipped with hardware support for parallelism, such as multiple nodes …
Parallel cooperative micro-particle swarm optimization: a master–slave model
KE Parsopoulos - Applied Soft Computing, 2012 - Elsevier
A parallel master–slave model of the recently proposed cooperative micro-particle swarm
optimization approach is introduced. The algorithm is based on the decomposition of the …
optimization approach is introduced. The algorithm is based on the decomposition of the …
Performance evaluation of software development teams: a practical case study
Software development projects have become a challenge for both industry and academia
regarding the performance evaluation of teams. Recently, a Stochastic Automata Networks …
regarding the performance evaluation of teams. Recently, a Stochastic Automata Networks …
Split: a flexible and efficient algorithm to vector-descriptor product
Many Markovian stochastic structured modeling formalisms like Petri nets, automata
networks and process algebra represent the infinitesimal generator of the underlying Markov …
networks and process algebra represent the infinitesimal generator of the underlying Markov …
Designing Cloud-Friendly HPC Applications
Today, we no longer live in an era where cloud computing was addressed only for
enterprise transaction-based applications like e-commerce and those centered on database …
enterprise transaction-based applications like e-commerce and those centered on database …
Performance evaluation of parallel particle swarm optimization for multicore environment
EA Abdullah, IA Saleh, OI Al Saif - … International Conference on …, 2018 - ieeexplore.ieee.org
Particle swarm optimization (PSO) has become universal due to its simplicity and
effectiveness in solving many problems in various applications with low computational cost …
effectiveness in solving many problems in various applications with low computational cost …
Analysis of exponential reliable production lines using Kronecker descriptors
P Fernandes, MEJ O'Kelly… - … Journal of Production …, 2013 - Taylor & Francis
This paper presents a solution procedure for reliable production lines with service times
distributed according to an exponential distribution, based on a Markovian formulation with a …
distributed according to an exponential distribution, based on a Markovian formulation with a …
Integrating variance reduction techniques and parallel computing in construction simulation optimization
Efficient planning of construction operations is deemed necessary to meet project objectives.
Researchers have used simulation optimization to select the optimum amount of equipment …
Researchers have used simulation optimization to select the optimum amount of equipment …
Stochastic performance analysis of global software development teams
Measuring productivity in globally distributed projects is crucial to improve team
performance. These measures often display information on whether a given project is …
performance. These measures often display information on whether a given project is …
[HTML][HTML] Spark-based improved Basin-Hopping Monte Carlo algorithm for structural optimization of alloy clusters
YH Yang, JF Zhang, JB Wang, XB Xu, GF Shao… - Physics Letters A, 2019 - Elsevier
CoPt alloy clusters are promising candidates for catalysts in fuel-cell applications because of
their enhanced catalytic performances compared with pure Pt clusters. In this article, an …
their enhanced catalytic performances compared with pure Pt clusters. In this article, an …