Listar Grupo de Arquitectura de Computadores (GAC) por título
Mostrando ítems 31-50 de 241
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An Application of Fish Detection Based on Eye Search with Artificial Vision and Artificial Neural Networks
(MDPI AG, 2020-10-27)[Abstract] A fish can be detected by means of artificial vision techniques, without human intervention or handling the fish. This work presents an application for detecting moving fish in water by artificial vision based ... -
An approach to support generic topologies in distributed PSO algorithms in Spark
(Armando De Giusti, Marcelo Naiouf, Franco Chichizola, Enzo Rucci, Laura De Giusti. Universidad Nacional de La Plata. Facultad de Informática., 2023)[Abstract] Particle Swarm Optimization (PSO) is a popular population-based search algorithm that has been applied to all kinds of complex optimization problems. Although the performance of the algorithm strongly depends ... -
An automatic optimizer for heterogeneous devices
(Elsevier, 2020-05)[Abstract]: Codes written in a naive way seldom effectively exploit the computing resources, while writing optimized codes is usually a complex task that requires certain levels of expertise. This problem is further increased ... -
An Efficient Ant Colony Optimization Framework for HPC Environments
(Elsevier, 2022)[Abstract] Combinatorial optimization problems arise in many disciplines, both in the basic sciences and in applied fields such as engineering and economics. One of the most popular combinatorial optimization methods is ... -
An Inspector-Executor Algorithm for Irregular Assignment Parallelization
(Springer, 2004)[Abstract] A loop with irregular assignment computations contains loop-carried output data dependences that can only be detected at run-time. In this paper, a load-balanced method based on the inspector-executor model is ... -
An out-of-core method for GPU image mapping on large 3D scenarios of the real world
(Elsevier, 2022)[Abstract] Image mapping on 3D huge scenarios of the real world is one of the most fundamental and computational expensive processes for the integration of multi-source sensing data. Recent studies focused on the observation ... -
Analysis and evaluation of MapReduce solutions on an HPC cluster
(Pergamon Press, 2016-02)[Abstract] The ever growing needs of Big Data applications are demanding challenging capabilities which cannot be handled easily by traditional systems, and thus more and more organizations are adopting High Performance ... -
Analysis of I/O Performance on an Amazon EC2 Cluster Compute and High I/O Platform
(Springer Netherlands, 2013-12)[Abstract] Cloud computing is currently being explored by the scientific community to assess its suitability for High Performance Computing (HPC) environments. In this novel paradigm, compute and storage resources, as well ... -
Analysis of Performance-impacting Factors on Checkpointing Frameworks: The CPPC Case Study
(Oxford University Press, 2011-11-01)[Abstract] This paper focuses on the performance evaluation of Compiler for Portable Checkpointing (CPPC), a tool for the checkpointing of parallel message-passing applications. Its performance and the factors that impact ... -
Assessing resilient versus stop-and-restart fault-tolerant solutions in MPI applications
(Springer New York LLC, 2017-01)[Abstract] The Message Passing Interface (MPI) standard is the most popular parallel programming model for distributed systems. However, it lacks fault-tolerance support and, traditionally, failures are addressed with ... -
Assessment, Design and Implementation of a Private Cloud for MapReduce Applications
(Stowarzyszenie Komputerowej Nauki o Materialach i Inzynierii Powierzchni,Association of Computational Materials Science and Surface Engineering, 2014)[Abstract] Scientific computation and data intensive analyses are ever more frequent. On the one hand, the MapReduce programming model has gained a lot of attention for its applicability in large parallel data analyses and ... -
Automated and accurate cache behavior analysis for codes with irregular access patterns
(John Wiley & Sons Ltd., 2007-04-03)[Abstract] The memory hierarchy plays an essential role in the performance of current computers, so good analysis tools that help in predicting and understanding its behavior are required. Analytical modeling is the ideal ... -
Automatic mapping of parallel applications on multicore architectures using the Servet benchmark suite
(Pergamon Press, 2012-03)[Abstract] Servet is a suite of benchmarks focused on detecting a set of parameters with high influence on the overall performance of multicore systems. These parameters can be used for autotuning codes to increase their ... -
BDEv 3.0: energy efficiency and microarchitectural characterization of Big Data processing frameworks
(Elsevier BV * North-Holland, 2018-09)[Abstract] As the size of Big Data workloads keeps increasing, the evaluation of distributed frameworks becomes a crucial task in order to identify potential performance bottlenecks that may delay the processing of large ... -
BDWatchdog: real-time monitoring and profiling of Big Data applications and frameworks
(Elsevier BV * North-Holland, 2018-10)[Abstract] Current Big Data applications are characterized by a heavy use of system resources (e.g., CPU, disk) generally distributed across a cluster. To effectively improve their performance there is a critical need for ... -
Big Data Geospatial Processing for Massive Aerial LiDAR Datasets
(M D P I AG, 2020-02-21)[Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ... -
Big Data Geospatial Processing for Massive Aerial LiDAR Datasets
(MDPI AG, 2020-02-21)[Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ... -
Big Data-Oriented PaaS Architecture with Disk-as-a-Resource Capability and Container-Based Virtualization
(Springer Netherlands, 2018-12)[Abstract] With the increasing adoption of Big Data technologies as basic tools for the ongoing Digital Transformation, there is a high demand for data-intensive applications. In order to efficiently execute such applications, ... -
BigDEC: A multi-algorithm Big Data tool based on the k-mer spectrum method for scalable short-read error correction
(Elsevier, 2024-05)[Abstract]: Despite the significant improvements in both throughput and cost provided by modern Next-Generation Sequencing (NGS) platforms, sequencing errors in NGS datasets can still degrade the quality of downstream ... -
bioScience: A new python science library for high-performance computing bioinformatics analytics
(Elsevier Ltd, 2024)[Abstract]: BioScience is an advanced Python library designed to satisfy the growing data analysis needs in the field of bioinformatics by leveraging High-Performance Computing (HPC). This library encompasses a vast multitude ...
