Listar1. Investigación por tema "GPU"
Mostrando ítems 1-16 de 16
-
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 ... -
Free adaptive tessellation strategy of bézier surfaces
(SciTePress, 2014-01)[Abstract] Rendering of Bézier surfaces is currently performed by tessellating the model on the GPU and rendering the highly detailed triangle mesh. Whereas non-adaptive strategies apply the same tessellation pattern to ... -
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 ... -
Probing the Efficacy of Hardware-Aware Weight Pruning to Optimize the SpMM routine on Ampere GPUs
(Institute of Electrical and Electronics Engineers, 2022)[Abstract]: The Deep Learning (DL) community found in pruning techniques a good way to reduce the models' resource and energy consumption. These techniques lead to smaller sparse models, but sparse computations in GPUs ... -
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 ... -
Synthesis of Multiresolution Scenes with Global Illumination on a GPU
(SciTePress, 2012-02)[Abstract] The radiosity computation has the important feature of producing view independent results, but these results are mesh dependent and, in consequence, are attached to a specific level of detail in the input mesh. ... -
Texture Mapping on NURBS Surface
(M D P I AG, 2018-09-17)[Abstract] Texture mapping allows high resolution details over 3D surfaces. Nevertheless, texture mapping has a number of unresolved problems such as distortion, boundary between textures or filtering. On the other hand, ... -
Tree Partitioning Reduction: A New Parallel Partition Method for Solving Tridiagonal Systems
(Association for Computing Machinery (ACM), 2019-08) -
VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
(Association for Computing Machinery, 2023-11)[Abstract]: The increasing success and scaling of Deep Learning models demands higher computational efficiency and power. Sparsification can lead to both smaller models as well as higher compute efficiency, and accelerated ...
