Listar1. Investigación por tema "Graphics processing units"
Mostrando ítems 1-4 de 4
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Evaluation of Java for General Purpose GPU Computing
(IEEE Computer Society, 2013-07-01)[Abstract] The presence of many-core units as accelerators has been increasing due to their ability to improve the performance of highly parallel workloads. General Purpose GPU(GPGPU) computing has allowed the graphical ... -
Parallel Pairwise Epistasis Detection on Heterogeneous Computing Architectures
(Institute of Electrical and Electronics Engineers, 2016-08)[Abstract] Development of new methods to detect pairwise epistasis, such as SNP-SNP interactions, in Genome-Wide Association Studies is an important task in bioinformatics as they can help to explain genetic influences on ... -
Parallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems
(Institute of Electrical and Electronics Engineers, 2015)[Abstract] High-throughput genotyping technologies (such as SNP-arrays) allow the rapid collection of up to a few million genetic markers of an individual. Detecting epistasis (based on 2-SNP interactions) in Genome-Wide ... -
Solving Large Problem Sizes of Index-Digit Algorithms on GPU: FFT and Tridiagonal System Solvers
(Institute of Electrical and Electronics Engineers, 2018)[Abstract] Current Graphics Processing Units (GPUs) are capable of obtaining high computational performance in scientific applications. Nevertheless, programmers have to use suitable parallel algorithms for these architectures ...