Surface Reconstruction from Scattered Point via RBF Interpolation on GPU

In this paper we describe a parallel implicit method based on radial basis functions (RBF) for surface reconstruction. The applicability of RBF methods is hindered by its computational demand, that requires the solution of linear systems of size equal to the number of data points. Our reconstruction implementation relies on parallel scientific libraries and is supported for massively multi-core architectures, namely Graphic Processor Units (GPUs). The performance of the proposed method in terms of accuracy of the reconstruction and computing time shows that the RBF interpolant can be very effective for such problem.Comment: arXiv admin note: text overlap with arXiv:0909.5413 by other author

Deposit insurance and financial development

The authors examine the effect of different design features of deposit insurance, on long-run financial development, defined to include the level of financial activity, the stability of the banking sector, and the quality of resource allocation. Their empirical analysis is guided by recent theories of banking regulation, that employ an agency framework. The authors examine the effect of deposit insurance on the size, and volatility of the financial sector, in a sample of fifty eight countries. They find that generous deposit insurance, leads to financial instability in lax regulatory environments. But in sound regulatory environments, deposit insurance does have the desired impact on financial development, and growth. Thus, countries introducing a deposit insurance scheme, need to ensure that it is accompanied by a sound regulatory framework. Otherwise, the scheme will likely lead to instability, and deter financial development. In weak regulatory environments, policymakers should at least limit deposit insurance coverage.Insurance Law,Financial Intermediation,Payment Systems&Infrastructure,Banks&Banking Reform,Insurance&Risk Mitigation,Banks&Banking Reform,Financial Intermediation,Insurance&Risk Mitigation,Insurance Law,Financial Crisis Management&Restructuring

Exploiting the Hierarchical Structure of Rule-Based Specifications for Decision Planning

Rule-based specifications have been very successful as a declarative approach in many domains, due to the handy yet solid foundations offered by rule-based machineries like term and graph rewriting. Realistic problems, however, call for suitable techniques to guarantee scalability. For instance, many domains exhibit a hierarchical structure that can be exploited conveniently. This is particularly evident for composition associations of models. We propose an explicit representation of such structured models and a methodology that exploits it for the description and analysis of model- and rule-based systems. The approach is presented in the framework of rewriting logic and its efficient implementation in the rewrite engine Maude and is illustrated with a case study.