ListarGI-GAC - Artigos por tema "GPU"
Mostrando ítems 1-11 de 11
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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 ... -
CUDA-JMI: Acceleration of feature selection on heterogeneous systems
(Elsevier, 2020-01)[Abstract]: Feature selection is a crucial step nowadays in machine learning and data analytics to remove irrelevant and redundant characteristics and thus to provide fast and reliable analyses. Many research works have ... -
Efficient high-precision integer multiplication on the GPU
(SAGE Journals, 2022-03)[Abstract]: The multiplication of large integers, which has many applications in computer science, is an operation that can be expressed as a polynomial multiplication followed by a carry normalization. This work develops ... -
Fast search of third-order epistatic interactions on CPU and GPU clusters
(Sage Publications Ltd., 2019-05-27)[Abstract] Genome-Wide Association Studies (GWASs), analyses that try to find a link between a given phenotype (such as a disease) and genetic markers, have been growing in popularity in the recent years. Relations between ... -
GPU Accelerated Molecular Docking Simulation with Genetic Algorithms
(Springer, Cham, 2016)[Abstract] Receptor-Ligand Molecular Docking is a very computationally expensive process used to predict possible drug candidates for many diseases. A faster docking technique would help life scientists to discover better ... -
GPU-accelerated exhaustive search for third-order epistatic interactions in case–control studies
(Elsevier Ltd, 2015)[Abstract] Interest in discovering combinations of genetic markers from case–control studies, such as Genome Wide Association Studies (GWAS), that are strongly associated to diseases has increased in recent years. Detecting ... -
Large-scale genome-wide association studies on a GPU cluster using a CUDA-accelerated PGAS programming model
(Sage Publications Ltd., 2015)[Abstract] Detecting epistasis, such as 2-SNP interactions, in genome-wide association studies (GWAS) is an important but time consuming operation. Consequently, GPUs have already been used to accelerate these studies, ... -
Parallelization of shallow water simulations on current multi-threaded systems
(SAGE Journals, 2013-11)[Abstract]: In this work, several parallel implementations of a numerical model of pollutant transport on a shallow water system are presented. These parallel implementations are developed in two phases. First, the sequential ... -
Speed and accuracy improvement of higher-order epistasis detection on CUDA-enabled GPUs
(Springer, 2017)[Abstract]: The discovery of higher-order epistatic interactions is an important task in the field of genome wide association studies which allows for the identification of complex interaction patterns between multiple ... -
STuning-DL: Model-Driven Autotuning of Sparse GPU Kernels for Deep Learning
(Institute of Electrical and Electronics Engineers, 2024-05)[Abstract]: The relentless growth of modern Machine Learning models has spurred the adoption of sparsification techniques to simplify their architectures and reduce the computational demands. Network pruning has demonstrated ... -
Tree Partitioning Reduction: A New Parallel Partition Method for Solving Tridiagonal Systems
(Association for Computing Machinery (ACM), 2019-08)
