Adapting and Optimizing the Systemic Model of Banking Originated Losses (SYMBOL) Tool to the Multi-core Architecture
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DOI: 10.1007/s10614-015-9509-4
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Cited by:
- Yi-Ting Chen & Edward W. Sun & Yi-Bing Lin, 2020. "Machine learning with parallel neural networks for analyzing and forecasting electricity demand," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 569-597, August.
- Parrado-Martínez, Purificación & Gómez-Fernández-Aguado, Pilar & Partal-Ureña, Antonio, 2019. "Factors influencing the European bank’s probability of default: An application of SYMBOL methodology," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 223-240.
- Pilar Gómez-Fernández-Aguado & Purificación Parrado-Martínez & Antonio Partal-Ureña, 2018. "Risk Profile Indicators and Spanish Banks’ Probability of Default from a Regulatory Approach," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
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Keywords
Optimization algorithm; Parallel techniques; OpenMP; GPU; SYMBOL;All these keywords.
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