ListarGrupo de Arquitectura de Computadores (GAC) por tema "Data mining"
Mostrando ítems 1-5 de 5
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Accelerating binary biclustering on platforms with CUDA-enabled GPUs
(Elsevier Ltd, 2018)[Abstract]: Data mining is nowadays essential in many scientific fields to extract valuable information from large input datasets and transform it into an understandable structure. For instance, biclustering techniques are ... -
bioScience: A new python science library for high-performance computing bioinformatics analytics
(Elsevier Ltd, 2024)[Abstract]: BioScience is an advanced Python library designed to satisfy the growing data analysis needs in the field of bioinformatics by leveraging High-Performance Computing (HPC). This library encompasses a vast multitude ... -
Compiler support for parallel code generation through kernel recognition
(IEEE Computer Society, 2004-06-07)[Abstract] Summary form only given. The automatic parallelization of loops that contain complex computations is still a challenge for current parallelizing compilers. The main limitations are related to the analysis of ... -
Exploiting locality in the run-time parallelization of irregular loops
(C R C Press, LLC, 2002-12-10)[Abstract] The goal of this work is the efficient parallel execution of loops with indirect array accesses, in order to be embedded in a parallelizing compiler framework. In this kind of loop pattern, dependences can not ... -
Optimization of Real-World MapReduce Applications With Flame-MR: Practical Use Cases
(Institute of Electrical and Electronics Engineers, 2018-11-12)[Abstract] Apache Hadoop is a widely used MapReduce framework for storing and processing large amounts of data. However, it presents some performance issues that hinder its utilization in many practical use cases. Although ...