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A simulated annealing algorithm for zoning in planning using parallel computing
(Pergamon Press, 2016)
[Abstract] There is an increasing demand for tools that support land use planning processes, particularly the design of zoning maps, which is one of the most complex tasks in the field. In this task, different land use ...
Implementing Parallel Differential Evolution on Spark
(Springer, 2016-04-02)
[Abstract] Metaheuristics are gaining increased attention as an efficient way of solving hard global optimization problems. Differential Evolution (DE) is one of the most popular algorithms in that class. However, its ...
Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark
(Sage Publications Ltd., 2016-11-28)
[Abstract]
Many key problems in science and engineering can be formulated and solved using global optimization techniques. In the particular case of computational biology, the development of dynamic (kinetic) models is ...
High Productivity Multi-device Exploitation with the Heterogeneous Programming Library
(Elsevier, 2016)
[Abstract] Heterogeneous devices require much more work from programmers than traditional CPUs, particularly when there are several of them, as each one has its own memory space. Multidevice applications require to distribute ...
On processing extreme data
(Universitatea de Vest din Timisoara,West University of Timisoara, 2016)
[Abstract] Extreme Data is an incarnation of Big Data concept distinguished by the massive amounts of data that must be queried, communicated and analyzed in near real-time by using a very large number of memory or storage ...
Performance Evaluation of Data-Intensive Computing Applications on a Public IaaS Cloud
(Oxford University Press, 2016)
[Abstract] The advent of cloud computing technologies, which dynamically provide on-demand access to computational resources over the Internet, is offering new possibilities to many scientists and researchers. Nowadays, ...