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Angelo Corana
Researcher at National Research Council
Publications - 39
Citations - 1914
Angelo Corana is an academic researcher from National Research Council. The author has contributed to research in topics: Grid & Correlation dimension. The author has an hindex of 12, co-authored 39 publications receiving 1859 citations.
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Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm—Corrigenda for this article is available here
TL;DR: A new global optimization algorithm for functions of continuous variables is presented, derived from the “Simulated Annealing” algorithm recently introduced in combinatorial optimization, which is quite costly in terms of function evaluations, but its cost can be predicted in advance, depending only slightly on the starting point.
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Modeling performance of heterogeneous parallel computing systems
Andrea Clematis,Angelo Corana +1 more
TL;DR: A simple but quite rigorous analysis of the performance of heterogeneous parallel computing systems, where in general each node has a different computing power, and examines in this case a class of problems for which it is possible to define an efficiency worsening factor related to the degree of heterogeneity.
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Evaluation of Errors in Calibration Procedures for Measurements of Reflection Coefficient
TL;DR: An error analysis is developed in order to define a quality factor, for evaluating the performances of a calibration procedure, by using the invariance property of the cross ratio.
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Open-circuited coaxial lines as standards for microwave measurements
TL;DR: In this article, a highly accurate electromagnetic characterisation of open-circuited coaxial lines terminating in a circular waveguide has been obtained with a view to the employment of such devices as calibration standards for microwave measurements.
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Job-resource matchmaking on Grid through two-level benchmarking
TL;DR: This work presents GREEN, a distributed Matchmaker, based on a two-level benchmarking methodology that facilitates the ranking of Grid resources and the submission of jobs to the Grid, independently of the underlying middleware and thus fostering Grid interoperability.