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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 ...
CPPC: a compiler‐assisted tool for portable checkpointing of message‐passing applications
(John Wiley & Sons Ltd., 2010-11-19)
[Abstract] With the evolution of high‐performance computing toward heterogeneous, massively parallel systems, parallel applications have developed new checkpoint and restart necessities. Whether due to a failure in the ...
Compiler-Assisted Checkpointing of Parallel Codes: The Cetus and LLVM Experience
(Springer New York LLC, 2013)
[Abstract] With the evolution of high-performance computing, parallel applications have developed an increasing necessity for fault tolerance, most commonly provided by checkpoint and restart techniques. Checkpointing tools ...
Extending an Application-Level Checkpointing Tool to Provide Fault Tolerance Support to OpenMP Applications
(Technische Universitaet Graz * Institut fuer Informationssysteme und Computer Medien,Graz University of Technology, Institute for Information Systems and Computer Media, 2014-09)
[Abstract] Despite the increasing popularity of shared-memory systems, there is a lack of tools for providing fault tolerance support to shared-memory applications. CPPC (ComPiler for Portable Checkpointing) is an ...
A Portable and Adaptable Fault Tolerance Solution for Heterogeneous Applications
(Academic Press, 2017-06)
[Abstract] Heterogeneous systems have increased their popularity in recent years due to the high performance and reduced energy consumption capabilities provided by using devices such as GPUs or Xeon Phi accelerators. This ...
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
(Elsevier, 2024-03)
[Abstract]: Over the years metaheuristics have been successfully applied to optimization problems in many real-world applications. The increasing complexity and scale of the problems addressed has posed new challenges to ...
Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications
(John Wiley & Sons, 2024)
[Abstract]: Binary combinatorial optimization plays a crucial role in various scientific and engineering fields. While deterministic approaches have traditionally been used to solve these problems, stochastic methods, ...
Assessment, Design and Implementation of a Private Cloud for MapReduce Applications
(Stowarzyszenie Komputerowej Nauki o Materialach i Inzynierii Powierzchni,Association of Computational Materials Science and Surface Engineering, 2014)
[Abstract] Scientific computation and data intensive analyses are ever more frequent. On the one hand, the MapReduce programming model has gained a lot of attention for its applicability in large parallel data analyses and ...
An Efficient Ant Colony Optimization Framework for HPC Environments
(Elsevier, 2022)
[Abstract] Combinatorial optimization problems arise in many disciplines, both in the basic sciences and in applied fields such as engineering and economics. One of the most popular combinatorial optimization methods is ...