Listar GI-GAC - Artigos por título
Mostrando ítems 38-57 de 181
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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 ... -
BPLG–BMCS: GPU-sorting algorithm using a tuning skeleton library
(Springer New York LLC, 2017)[Abstract] In this work, we present an efficient and portable sorting operator for GPUs. Specifically, we propose an algorithmic variant of the bitonic merge sort which reduces the number of processing stages and internal ... -
Comparison of Hardwired and Microprogrammed Statechart Implementations
(MDPI, 2020)[Abstract]: In scientific facilities such as particle accelerators, fast and jitter-free synchronization is required in order to trigger a large number of actuators at the right time in a variety of situations. The behaviour ... -
Compiler-Assisted Checkpointing of Parallel Codes: The Cetus and LLVM Experience
(Springer New York LLC, 2013)[Abstract] With the evolution of high-performance computing, parallel applications have developed an increasing necessity for fault tolerance, most commonly provided by checkpoint and restart techniques. Checkpointing tools ... -
Concept Drift Detection and Adaptation for Federated and Continual Learning
(Springer, 2021)[Abstract] Smart devices, such as smartphones, wearables, robots, and others, can collect vast amounts of data from their environment. This data is suitable for training machine learning models, which can significantly ... -
CPPC: a compiler‐assisted tool for portable checkpointing of message‐passing applications
(John Wiley & Sons Ltd., 2010-11-19)[Abstract] With the evolution of high‐performance computing toward heterogeneous, massively parallel systems, parallel applications have developed new checkpoint and restart necessities. Whether due to a failure in the ... -
CUDA acceleration of MI-based feature selection methods
(Elsevier, 2024-08)[Abstract]: Feature selection algorithms are necessary nowadays for machine learning as they are capable of removing irrelevant and redundant information to reduce the dimensionality of the data and improve the quality of ... -
CUDA-JMI: Acceleration of feature selection on heterogeneous systems
(Elsevier, 2020-01)[Abstract]: Feature selection is a crucial step nowadays in machine learning and data analytics to remove irrelevant and redundant characteristics and thus to provide fast and reliable analyses. Many research works have ... -
Design and Implementation of an extended collectives library for unified Parallel C
(Springer New York LLC, 2013)[Abstract] Unified Parallel C (UPC) is a parallel extension of ANSI C based on the Partitioned Global Address Space (PGAS) programming model, which provides a shared memory view that simplifies code development while it ... -
Design of efficient Java message-passing collectives on multi-core clusters
(Springer New York LLC, 2011-02)[Abstract] This paper presents a scalable and efficient Message-Passing in Java (MPJ) collective communication library for parallel computing on multi-core architectures. The continuous increase in the number of cores per ... -
Design of Scalable Java Communication Middleware for Multi-Core Systems
(Oxford University Press, 2013-02-01)[Abstract] This paper presents smdev, a shared memory communication middleware for multi-core systems. smdev provides a simple and powerful messaging application program interface that is able to exploit the underlying ... -
Design of scalable Java message-passing communications over InfiniBand
(Springer New York LLC, 2012-07)[Abstract] This paper presents ibvdev a scalable and efficient low-level Java message-passing communication device over InfiniBand. The continuous increase in the number of cores per processor underscores the need for ... -
Developing adaptive multi-device applications with the Heterogeneous Programming Library
(Springer, 2015)[Abstract] The usage of heterogeneous devices presents two main problems. One is their complex programming, a problem that grows when multiple devices are used. The second issue is that even if the codes for these devices ... -
Device level communication libraries for high‐performance computing in Java
(John Wiley & Sons Ltd., 2011-12-25)[Abstract] Since its release, the Java programming language has attracted considerable attention from the high‐performance computing (HPC) community because of its portability, high programming productivity, and built‐in ...
