Listar GI-GAC - Artigos por título
Mostrando ítems 115-134 de 180
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Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
(Elsevier, 2022)[Abstract] Federated Learning is a novel framework that allows multiple devices or institutions to train a machine learning model collaboratively while preserving their data private. This decentralized approach is prone ... -
Nonblocking collectives for scalable Java communications
(John Wiley & Sons Ltd., 2015-04-22)[Abstract] This paper presents a Java implementation of the recently published MPI 3.0 nonblocking message passing collectives in order to analyze and assess the feasibility of taking advantage of these operations in shared ... -
Novel parallelization of simulated annealing and Hooke & Jeeves search algorithms for multicore systems with application to complex fisheries stock assessment models
(Elsevier Ltd, 2016-11)[Abstract] Estimating parameters of a statistical fisheries assessment model typically involves a comparison of disparate datasets to a forward simulation model through a likelihood function. In all but trivial cases the ... -
Numerical Simulation of Pollutant Transport in a Shallow-Water System on the Cell Heterogeneous Processor
(Springer, 2013)[Abstract] This paper presents an implementation, optimized for the Cell processor, of a finite volume numerical scheme for 2D shallow-water systems with pollutant transport. A description of the special architecture and ... -
On processing extreme data
(Universitatea de Vest din Timisoara,West University of Timisoara, 2016)[Abstract] Extreme Data is an incarnation of Big Data concept distinguished by the massive amounts of data that must be queried, communicated and analyzed in near real-time by using a very large number of memory or storage ... -
OpenCNN: A Winograd Minimal Filtering Algorithm Implementation in CUDA
(MDPI, 2021)[Abstract] Improving the performance of the convolution operation has become a key target for High Performance Computing (HPC) developers due to its prevalence in deep learning applied mainly to video processing. The ... -
Optimization of Real-World MapReduce Applications With Flame-MR: Practical Use Cases
(Institute of Electrical and Electronics Engineers, 2018-11-12)[Abstract] Apache Hadoop is a widely used MapReduce framework for storing and processing large amounts of data. However, it presents some performance issues that hinder its utilization in many practical use cases. Although ... -
Optimizing Coherence Traffic in Manycore Processors Using Closed-Form Caching/Home Agent Mappings
(Institute of Electrical and Electronics Engineers, 2021-02-09)[Abstract] Manycore processors feature a high number of general-purpose cores designed to work in a multithreaded fashion. Recent manycore processors are kept coherent using scalable distributed directories. A paramount ... -
Optimizing parcel exchange among landowners: A soft alternative to land consolidation
(Elsevier, 2020-01)[Abstract]: For decades, public policy has favored the use of land consolidation to reduce the fragmentation of land ownership. Private actors, on the other hand, have focused on the purchase, rental and exchange of land ... -
Parallel and Scalable Short-Read Alignment on Multi-Core Clusters Using UPC++
(Johannes Gutenberg University Mainz, 2016)[Abstract]: The growth of next-generation sequencing (NGS) datasets poses a challenge to the alignment of reads to reference genomes in terms of alignment quality and execution speed. Some available aligners have been shown ... -
Parallel ant colony optimization for the training of cell signaling networks
(Elsevier, 2022)[Abstract]: Acquiring a functional comprehension of the deregulation of cell signaling networks in disease allows progress in the development of new therapies and drugs. Computational models are becoming increasingly popular ... -
Parallel Brownian dynamics simulations with the message-passing and PGAS programming models
(Elsevier BV, 2013-04)[Abstract] The simulation of particle dynamics is among the most important mechanisms to study the behavior of molecules in a medium under specific conditions of temperature and density. Several models can be used to compute ... -
Parallel definition of tear film maps on distributed-memory clusters for the support of dry eye diagnosis
(Elsevier Ireland Ltd., 2017)[Abstract] Background and objectives The analysis of the interference patterns on the tear film lipid layer is a useful clinical test to diagnose dry eye syndrome. This task can be automated with a high degree of accuracy ... -
Parallel feature selection for distributed-memory clusters
(2019)[Abstract]: Feature selection is nowadays an extremely important data mining stage in the field of machine learning due to the appearance of problems of high dimensionality. In the literature there are numerous feature ... -
Parallel Hierarchical Radiosity on Hybrid Platforms
(Springer Verlag, 2011-12)[Abstract] Achieving an efficient realistic illumination is an important aim of research in computer graphics. In this paper a new parallel global illumination method for hybrid systems based on the hierarchical radiosity ... -
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 ... -
Parallel simulation of Brownian dynamics on shared memory systems with OpenMP and Unified Parallel C
(Springer New York LLC, 2013-09)[Abstract] The simulation of particle dynamics is an essential method to analyze and predict the behavior of molecules in a given medium. This work presents the design and implementation of a parallel simulation of Brownian ... -
Parallel-FST: A feature selection library for multicore clusters
(Elsevier, 2022-11)[Abstract]: Feature selection is a subfield of machine learning focused on reducing the dimensionality of datasets by performing a computationally intensive process. This work presents Parallel-FST, a publicly available ... -
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 ... -
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 ...
