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Multithreaded and Spark parallelization of feature selection filters
(2016)
[Abstract]: Vast amounts of data are generated every day, constituting a volume that is challenging to analyze. Techniques such as feature selection are advisable when tackling large datasets. Among the tools that provide ...
ParRADMeth: Identification of Differentially Methylated Regions on Multicore Clusters
(IEEE, 2023)
[Abstract]: The discovery of Differentially Methylated (DM) regions is an important research field in biology, as it can help to anticipate the risk of suffering from specific diseases. Nevertheless, the high computational ...
CUDA acceleration of MI-based feature selection methods
(Elsevier, 2024-08)
[Abstract]: Feature selection algorithms are necessary nowadays for machine learning as they are capable of removing irrelevant and redundant information to reduce the dimensionality of the data and improve the quality of ...
Analysis of I/O Performance on an Amazon EC2 Cluster Compute and High I/O Platform
(Springer Netherlands, 2013-12)
[Abstract] Cloud computing is currently being explored by the scientific community to assess its suitability for High Performance Computing (HPC) environments. In this novel paradigm, compute and storage resources, as well ...
Automatic mapping of parallel applications on multicore architectures using the Servet benchmark suite
(Pergamon Press, 2012-03)
[Abstract] Servet is a suite of benchmarks focused on detecting a set of parameters with high influence on the overall performance of multicore systems. These parameters can be used for autotuning codes to increase their ...
Performance Evaluation of Sparse Matrix Products in UPC
(Springer New York LLC, 2013-04)
[Abstract] Unified Parallel C (UPC) is a Partitioned Global Address Space (PGAS) language whose popularity has increased during the last years owing to its high programmability and reasonable performance through an efficient ...
UPCBLAS: a library for parallel matrix computations in Unified Parallel C
(John Wiley & Sons Ltd., 2012-09-25)
[Abstract] The popularity of Partitioned Global Address Space (PGAS) languages has increased during the last years thanks to their high programmability and performance through an efficient exploitation of data locality, ...
The Servet 3.0 benchmark suite: characterization of network performance degradation
(Pergamon Press, 2013-11)
[Abstract] Servet is a suite of benchmarks focused on extracting a set of parameters with high influence on the overall performance of multicore clusters. These parameters can be used to optimize the performance of parallel ...