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Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology
(Springer New York LLC, 2019-05-08)
[Abstract]
This paper describes and assesses a parallel multimethod hyperheuristic for the solution of complex global optimization problems. In a multimethod hyperheuristic, different metaheuristics cooperate to outperform ...
Implementing cloud-based parallel metaheuristics: an overview
(Universidad Nacional de la Plata - Facultad de Informatica, 2018-12-12)
[Abstract]
Metaheuristics are among the most popular methods for solving hard global optimization problems in many areas of science and engineering. Their parallel im- plementation applying HPC techniques is a common ...
Multimethod Optimization for Reverse Engineering of Complex Biological Networks
(Association for Computing Machinery, 2018-09)
[Abstract] Optimization problems appears in different areas of science and engineering. This paper considers the general problem of reverse engineering in computational biology by means of mixed-integer nonlinear dynamic ...
Interactive Visualization of Large Point Clouds Using an Autotuning Multiresolution Out-Of-Core Strategy
(Oxford University Press, 2023)
[Abstract]: Due to the increasingly large amount of data acquired into point clouds, from LiDAR (Light Detection and Ranging) sensors and 2D/3D sensors, massive point clouds processing has become a topic with high interest ...
Supporting multi-resolution out-of-core rendering of massive LiDAR point clouds through non-redundant data structures
(Taylor & Francis Group, 2019-03)
[Abstract]: In recent years, the evolution and improvement of LiDAR (Light Detection and Ranging) hardware has increased the quality and quantity of the gathered data, making the storage, processing and management thereof ...
Tree Partitioning Reduction: A New Parallel Partition Method for Solving Tridiagonal Systems
(Association for Computing Machinery (ACM), 2019-08)
A Fast Solver for Large Tridiagonal Systems on Multi-Core Processors (Lass Library)
(Institute of Electrical and Electronics Engineers, 2019)
[Abstract]: Many problems of industrial and scientific interest require the solving of tridiagonal linear systems. This paper presents several implementations for the parallel solving of large tridiagonal systems on ...
A multi-GPU shallow-water simulation with transport of contaminants
(Wiley, 2012)
[Abstract] This work presents cost-effective multi-graphics processing unit (GPU) parallel implementations of a finite-volume numerical scheme for solving pollutant transport problems in bidimensional domains. The fluid ...
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 ...
Using the Cloud for Parameter Estimation Problems: Comparing Spark vs MPI with a Case-Study
(Institute of Electrical and Electronics Engineers, 2017-07-13)
[Abstract]
Systems biology is an emerging approach focused in generating new knowledge about complex biological systems by combining experimental data with mathematical modeling and advanced computational techniques. Many ...