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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 ...
Spark Implementation of the Enhanced Scatter Search Metaheuristic: Methodology and Assessment
(Elsevier BV, 2020-12)
[Abstract]
Optimization problems arise nowadays in all disciplines, not only in the scientific area but also in the field of engineering or economics, and in many others. Currently, challenging optimization problems require ...
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 ...
Local Rollback for Resilient Mpi Applications With Application-Level Checkpointing and Message Logging
(Elsevier BV * North-Holland, 2019-02)
[Abstract]
The resilience approach generally used in high-performance computing (HPC) relies on coordinated checkpoint/restart, a global rollback of all the processes that are running the application. However, in many ...
Fault tolerance of MPI applications in exascale systems: The ULFM solution
(Elsevier BV * North-Holland, 2020-05)
[Abstract]
The growth in the number of computational resources used by high-performance computing (HPC) systems leads to an increase in failure rates. Fault-tolerant techniques will become essential for long-running ...
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 ...
In-memory application-level checkpoint-based migration for MPI programs
(Springer New York LLC, 2014)
[Abstract] Process migration provides many benefits for parallel environments including dynamic load balancing, data access locality or fault tolerance. This paper describes an in-memory application-level checkpoint-based ...
Failure Avoidance in MPI Applications Using an Application-Level Approach
(Oxford University Press, 2014)
[Abstract] Execution times of large-scale computational science and engineering parallel applications are usually longer than the mean-time-between-failures. For this reason, hardware failures must be tolerated by the ...
Multimethod optimization in the cloud: A case‐study in systems biology modelling
(Wiley, 2018-06-25)
[Abstract] Optimization problems appear in many different applications in science and engineering. A large number of different algorithms have been proposed for solving them; however, there is no unique general optimization ...
A cloud-based enhanced differential evolution algorithm for parameter estimation problems in computational systems biology
(Springer New York LLC, 2017)
[Abstract] Metaheuristics are gaining increasing recognition in many research areas, computational systems biology among them. Recent advances in metaheuristics can be helpful in locating the vicinity of the global solution ...