Claudia Rosas

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Data-intensive applications are those that explore, query, analyze, and, in general, process very large data sets. Generally in High Performance Computing (HPC), the main performance problem associated to these applications is the load unbalance or inefficient resources utilization. This paper proposes a methodology for improving performance of(More)
Data-intensive applications are those that explore, query, analyze, and, in general, process very large data sets. Generally, these applications can be naturally implemented in parallel but, in many cases, these implementations show severe performance problems mainly due to load imbalances, inefficient use of available resources, and improper data partition(More)
A system to improve the cooling process of oil-immersed electrical transformers based on heat pipes is presented. The methodology used considers a theoretical analysis to predict the oil critical regions from the heat transfer point of view, and an experimental work to validate the theoretical predictions and to determine the effects of heat pipes installed(More)
The recent data deluge needing to be processed represents one of the major challenges in computational field. Available high-performance computing (HPC) systems can be very useful for solving this problem when data can be divided in chunks that can be processed in parallel. However, due to intrinsic characteristics of data-intensive problems, these(More)
Studies have been undertaken into on the diversity and relative abundance of larvae of Anopheles (Nyssorhynchus) spp. in 22 permanent or temporary pools in an area of 70 km2 in the eastern piedmont of the Venezuela Andes, between the mountains and the plains, an area in which malaria is refractory and A. nuñeztovari is present. Twelve species were(More)
Many software mechanisms for geophysics exploration in Oil & Gas industries are based on wave propagation simulation. To perform such simulations, state-of-art HPC architectures are employed, generating results faster and with more accuracy at each generation. The software must evolve to support the new features of each design to keep performance(More)
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