Search Results for author: Rui C. Martins

Found 6 papers, 6 papers with code

cf4ocl: a C framework for OpenCL

2 code implementations5 Sep 2016 Nuno Fachada, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa

OpenCL is an open standard for parallel programming of heterogeneous compute devices, such as GPUs, CPUs, DSPs or FPGAs.

Distributed, Parallel, and Cluster Computing D.1.3; D.2.2

PerfAndPubTools – Tools for Software Performance Analysis and Publishing of Results

1 code implementation12 May 2016 Nuno Fachada, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa

PerfAndPubTools consists of a set of MATLAB/Octave functions for the post-processing and analysis of software performance benchmark data and producing associated publication quality materials.

Towards a standard model for research in agent-based modeling and simulation

1 code implementation25 Nov 2015 Nuno Fachada​, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa

Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as an independent decision-making agent.

Decision Making

Model-independent comparison of simulation output

4 code implementations30 Sep 2015 Nuno Fachada, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa

It is appropriate for ascertaining distributional equivalence of a model replication with its original implementation.

Other Computer Science 68U20 D.2.4; I.2.2; I.5.2; I.6.4; I.6.6

Parallelization Strategies for Spatial Agent-Based Models

3 code implementations14 Jul 2015 Nuno Fachada, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa

Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as an independent decision-making agent.

Distributed, Parallel, and Cluster Computing D.1.3; D.2.4; G.3; I.6.6

Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria

1 code implementation28 Mar 2014 Nuno Fachada, Mário A. T. Figueiredo, Vitor V. Lopes, Rui C. Martins, Agostinho C.Rosa

This paper proposes new clustering criteria for distinguishing Saccharomyces cerevisiae (yeast) strains using their spectrometric signature.

Clustering

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