Listar Grupo de Arquitectura de Computadores (GAC) por título
Mostrando ítems 144-163 de 241
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Multimethod Optimization for Reverse Engineering of Complex Biological Networks
(Association for Computing Machinery, 2018-09)[Abstract] Optimization problems appears in different areas of science and engineering. This paper considers the general problem of reverse engineering in computational biology by means of mixed-integer nonlinear dynamic ... -
Multimethod optimization in the cloud: A case‐study in systems biology modelling
(Wiley, 2018-06-25)[Abstract] Optimization problems appear in many different applications in science and engineering. A large number of different algorithms have been proposed for solving them; however, there is no unique general optimization ... -
Multithreaded and Spark parallelization of feature selection filters
(2016)[Abstract]: Vast amounts of data are generated every day, constituting a volume that is challenging to analyze. Techniques such as feature selection are advisable when tackling large datasets. Among the tools that provide ... -
Non-blocking Java Communications Support on Clusters
(Springer, 2006)[Abstract] This paper presents communication strategies for supporting efficient non-blocking Java communication on clusters. The communication performance is critical for the overall cluster performance. It is possible ... -
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 ... -
NPB-MPJ: NAS Parallel Benchmarks Implementation for Message-Passing in Java
(IEEE Computer Society, 2009-05-08)[Abstract] Java is a valuable and emerging alternative for the development of parallel applications, thanks to the availability of several Java message-passing libraries and its full multithreading support. The combination ... -
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 ... -
Ontological Con guration Management for Wireless Mesh Routers
(Springer, 2009)[Abstract] Wireless mesh networks (WMNs) are a category of wireless networks that are self-organized, robust and which offer more flexible client coverage with less equipment requirements than wired networks. In WMNs, mesh ... -
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 ...
