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Using GPU to exploit parallelism on cryptography
(2011-09-12)
In this article we explore the NVIDIA graphical processing units (GPU) computational power in cryptography using CUDA (Compute Unified Device Architecture) technology. CUDA makes the general purpose computing easy using ...
Using GPU to exploit parallelism on cryptography
(2011-09-12)
In this article we explore the NVIDIA graphical processing units (GPU) computational power in cryptography using CUDA (Compute Unified Device Architecture) technology. CUDA makes the general purpose computing easy using ...
A new parallel training algorithm for optimum-path forest-based learning
(Springer Verlag, 2017)
In this work, we present a new parallel-driven approach to speed up Optimum-Path Forest (OPF) training phase. In addition, we show how to make OPF up to five times faster for training using a simple parallel-friendly data ...
A general framework to understand parallel performance in heterogeneous clusters: Analysis of a new adaptive parallel genetic algorithm
(Academic Press Inc Elsevier Science, 2005-12)
This paper presents a general model to define, measure and predict the efficiency of applications running on heterogeneous parallel computer systems. Using this framework, it is possible to understand the influence that ...
Improvements in the score matrix calculation method using parallel score estimating algorithm
(2013)
The increasing amount of sequences stored in genomic databases has become unfeasible to the sequential analysis. Then, the parallel computing brought its power to the Bioinformatics through parallel algorithms to align and ...
Parallelization of the Apriori Algorithm for the Search of Frequent Elements
(Universidad Nacional Micaela Bastidas de Apurímac, 2020-03-20)
There is a wide variety of techniques that increase application performance by alleviating one or more of the most important problems with today's processors. In this work, the execution time, speedup and efficiency of the ...
A new parallel training algorithm for optimum-path forest-based learning
(2017-01-01)
In this work, we present a new parallel-driven approach to speed up Optimum-Path Forest (OPF) training phase. In addition, we show how to make OPF up to five times faster for training using a simple parallel-friendly data ...
Protein Structure Prediction with Parallel Algorithms Orthogonal to Parallel Platforms
(Revista Eletrônica de Iniciação Científica em Computação, 2019)
Parallelization of a Multipartite Graph Matching Algorithm for Tracking Multiple Football Players
(2018)
This work describes the parallel methodology for a football tracking algorithm based on multipartite graphs using MPI and OpenMP. The proposed algorithm use a consumer-producer scheme to overlap the computing time of the ...
Algorithms for Maximum Independent Set in Convex Bipartite Graphs
(SPRINGER, 2009)
A bipartite graph G = (V, W, E) is convex if there exists an ordering of the vertices of W such that, for each v. V, the neighbors of v are consecutive in W. We describe both a sequential and a BSP/CGM algorithm to find a ...