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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 ...
Resilient MPI applications using an application-level checkpointing framework and ULFM
(Springer New York LLC, 2017-01)
[Abstract] Future exascale systems, formed by millions of cores, will present high failure rates, and long-running applications will need to make use of new fault tolerance techniques to ensure successful execution completion. ...
Analysis of Performance-impacting Factors on Checkpointing Frameworks: The CPPC Case Study
(Oxford University Press, 2011-11-01)
[Abstract] This paper focuses on the performance evaluation of Compiler for Portable Checkpointing (CPPC), a tool for the checkpointing of parallel message-passing applications. Its performance and the factors that impact ...
Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy
(BioMed Central Ltd., 2017)
[Abstract]
Background
The development of large-scale kinetic models is one of the current key issues in computational systems biology and bioinformatics. Here we consider the problem of parameter estimation in nonlinear ...
Improving Scalability of Application-Level Checkpoint-Recovery by Reducing Checkpoint Sizes
(Springer Japan KK, 2013)
[Abstract] The execution times of large-scale parallel applications on nowadays multi/many-core systems are usually longer than the mean time between failures. Therefore, parallel applications must tolerate hardware failures ...
A parallel metaheuristic for large mixed-integer dynamic optimization problems, with applications in computational biology
(Public Library of Science, 2017)
[Abstract]
Background:
We consider a general class of global optimization problems dealing with nonlinear dynamic models. Although this class is relevant to many areas of science and engineering, here we are interested ...
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 ...