Buscar
Mostrando ítems 71-80 de 190
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 ...
Enhancing in-memory Efficiency for MapReduce-based Data Processing
(Academic Press, 2018-10)
[Abstract] As the memory capacity of computational systems increases, the in-memory data management of Big Data processing frameworks becomes more crucial for performance. This paper analyzes and improves the memory ...
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 ...
General‐purpose computation on GPUs for high performance cloud computing
(John Wiley & Sons Ltd., 2013-08)
[Abstract] Cloud computing is offering new approaches for High Performance Computing (HPC) as it provides dynamically scalable resources as a service over the Internet. In addition, General‐Purpose computation on Graphical ...
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 ...
Jmodeltest.org: selection of nucleotide substitution models on the cloud
(Oxford University Press, 2014)
[Abstract] The selection of models of nucleotide substitution is one of the major steps of modern phylogenetic analysis. Different tools exist to accomplish this task, among which jModelTest 2 (jMT2) is one of the most ...
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 ...
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
(Elsevier, 2024-03)
[Abstract]: Over the years metaheuristics have been successfully applied to optimization problems in many real-world applications. The increasing complexity and scale of the problems addressed has posed new challenges to ...
Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications
(John Wiley & Sons, 2024)
[Abstract]: Binary combinatorial optimization plays a crucial role in various scientific and engineering fields. While deterministic approaches have traditionally been used to solve these problems, stochastic methods, ...
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 ...