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Artículos de Reisel
Actividad
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Executing one of the largest data migrations in business history, Nestlé moved more than 200 SAP instances; 10,000-plus servers; and 1,200 terabytes…
Executing one of the largest data migrations in business history, Nestlé moved more than 200 SAP instances; 10,000-plus servers; and 1,200 terabytes…
Compartido por Reisel González Pérez
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Microsoft's Aurora is a large-scale AI foundation model trained on more than one million hours of diverse geophysical data. Aurora outperforms…
Microsoft's Aurora is a large-scale AI foundation model trained on more than one million hours of diverse geophysical data. Aurora outperforms…
Compartido por Reisel González Pérez
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OpenAI is introducing remote M server , image generation, Code Interpreter, and more in the Responses API for developers and…
OpenAI is introducing remote M server , image generation, Code Interpreter, and more in the Responses API for developers and…
Compartido por Reisel González Pérez
Experiencia y educación
Publicaciones
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Multi-Server Approach for High-Throughput Molecular Descriptors Calculation based on Multi-Linear Algebraic Maps
Molecular Informatics/Wiley
Introduces a novel module of the QuBiLS-MIDAS software for the distributed computation of the 3D Multi-Linear algebraic molecular indices. The main motivation for developing this module is to deal with the computational complexity experienced during the calculation of the descriptors over large datasets. To accomplish this task, a multi-server computing platform named T-arenal was developed, which is suited for institutions with many workstations interconnected through a local network and…
Introduces a novel module of the QuBiLS-MIDAS software for the distributed computation of the 3D Multi-Linear algebraic molecular indices. The main motivation for developing this module is to deal with the computational complexity experienced during the calculation of the descriptors over large datasets. To accomplish this task, a multi-server computing platform named T-arenal was developed, which is suited for institutions with many workstations interconnected through a local network and without resources particularly destined for computation tasks. This new system was deployed in 337 workstations and it was perfectly integrated with the QuBiLS-MIDAS software. To illustrate the usability of the T-arenal platform, performance tests over a dataset comprised of 15?000 compounds are carried out, yielding a 52 and 60 fold reduction in the sequential processing time for the 2-Linear and 3-Linear indices, respectively. Therefore, it can be stated that the T-arenal based distribution of computation tasks constitutes a suitable strategy for performing high-throughput calculations of 3D Multi-Linear descriptors over thousands of chemical structures for posterior QSAR and/or E-Tox studies.
Otros autoresVer publicación
Proyectos
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Human Activity recognition based on Wearable Sensors
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Human Activity recognition based on Wearable Sensors for Healthcare.
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Machine Learning models for predicting financial and costumers affairs frauds
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Machine Learning models for predicting financial and costumers affairs frauds.
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Machine Learning and features engineering models in genotoxic/epigenetic prediction (Toxicology/Carcinogenicity)
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Machine Learning and features engineering models in genotoxic/epigenetic prediction (Toxicology/Carcinogenicity - US Food and Drug istration).
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Online Repository of procedures for discovery of chemical compounds
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Online Repository of procedures for discovery of chemical compounds, International Union of Pure and Applied Chemistry (IUPAC).
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T-arenal: Distributed Task Platform
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A distributed computing system created with the purpose of using a large number of computational resources under its control in a local network, without limitations in the size of the system. To this end, a multi-server approach was implemented by combining the peer-to-peer and client-server architectures within one model, in such way that the servers can work together without losing computational power.
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Español
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Empresas
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Association for Computing Machinery (ACM)
Professional hip
- actualidadAssociation for Computing Machinery (ACM) is the world's largest educational and scientific society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field's challenges.
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