Article
Computer Science, Theory & Methods
Zhiyong Xiao, Xu Liu, Jingheng Xu, Qingxiao Sun, Lin Gan
Summary: The study introduces a highly scalable hybrid parallel genetic algorithm based on Sunway TaihuLight Supercomputer, utilizing Cellular and Island models to achieve impressive performance for large-scale problems.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Astronomy & Astrophysics
Jan Novotny, Karel Adamek, M. A. Clark, Mike Giles, Wes Armour
Summary: Astrophysical radio signals are valuable for studying extreme physical processes, but dispersion caused by the ionized interstellar medium can affect the signals. This paper presents an advanced method for removing dispersion, which improves data processing speed and allows real-time extraction of scientifically valuable results.
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
(2023)
Article
Computer Science, Theory & Methods
Zhen Xie, Guangming Tan, Weifeng Liu, Ninghui Sun
Summary: General sparse matrix-matrix multiplication (SpGEMM) is an important mathematical library routine. This article studies format-specific parallel SpGEMM algorithms and proposes a pattern-based SpGEMM library that automatically determines the best format, algorithm, and parameter for arbitrary matrix pairs. The evaluation shows that this library outperforms existing libraries and improves performance by 30%.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Jingshan Pan, Lei Xiao, Min Tian, Tao Liu, Yinglong Wang
Summary: In this paper, we propose swParaFEM, a highly efficient parallel finite element solver based on preconditioned conjugate gradient iteration algorithm, for simulating three-dimensional stress and strain. By utilizing a master-slave acceleration model, kernel aggregation optimization scheme, and memory access optimization, we achieve a speedup of 10.5x on SW26010-Pro processor and a strong scaling efficiency of 62.8% on 512 compute groups.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Theory & Methods
Kan Liu, Wei Xue
Summary: In this paper, a novel algorithm WM-pGE is proposed for the batched solution of diagonally dominant tridiagonal systems. The algorithm balances key design objectives better than existing algorithms and presents an elegant formulation to show implementation and cross-platform optimization.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Ziheng Wang, Xiaoshe Dong, Yan Kang, Heng Chen
Summary: In this study, we investigate the potential performance improvements in cryptographic hash functions through new parallelism techniques on the SW26010 processor, which is part of the Sunway TaihuLight supercomputer. We propose a parallel implementation, SW-SHA-256, for hashing multiple messages and explore parallel schemes at both the instruction and thread levels. Our results show that the proposed approach achieves significant speedup compared to the C code in OpenSSLv3.0.0 and has high scalability.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Biochemical Research Methods
Elma H. Akand, John M. Murray
Summary: NGlyAlign is an automated tool developed to accurately align highly variable regions in HIV sequences by organizing similar N-linked glycosylation sites as block constraints and statistically conserved global sites as single site constraints. This method outperforms other MSA tools such as T-Coffee, ClustalOmega, ClustalW, Praline, HIValign and Muscle in aligning HIV-1 envelope sequences, and it is scalable to large sequence sets without requiring manual editing.
BMC BIOINFORMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Neveen Mohammed Hijazi, Hossam Faris, Ibrahim Aljarah
Summary: Ensemble learning is a useful machine learning technique that combines the output of multiple models to enhance performance. Ensemble feature selection method also follows a similar idea by combining multiple feature subsets to select the best one. The proposed parallel heterogeneous ensemble feature selection approach using genetic algorithm, particle swarm optimizer, and grey wolf optimizer showed improved performance in terms of prediction results and running time.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Anderson Avila, Helida Santos, Anderson Cruz, Samuel Xavier-de-Souza, Giancarlo Lucca, Bruno Moura, Adenauer Yamin, Renata Reiser
Summary: This paper introduces the concept and integration process of the HybriD-GM model. The D-GM environment is extended to provide efficient parallel execution for hybrid architectures with CPU and GPU integration. By managing projection operators and exploring memory access patterns, the HybriD-GM model achieves granularity control and optimizes hardware resources in distributed computations organized as tree data structures. In the evaluation, simulations of Shor's and Grover's algorithms show significant performance improvements compared to the previous D-GM version and other related works like LIQUi|⟩ and ProjectQ simulators.
Article
Computer Science, Hardware & Architecture
Jose M. Badia, Adrian Amor-Martin, Jose A. Belloch, Luis Emilio Garcia-Castillo
Summary: This paper evaluates and compares different parallelization methods for achieving maximum parallel performance on multi-core CPUs and many-core GPUs. The results show that performance on GPUs outperforms that on CPUs, especially when multiple GPUs are used. The paper also introduces new parallel algorithms and improves existing ones for the studied problem.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Sri Harsha Gade, Sujay Deb
Summary: WiSH is a wireless-enabled share-aware hybrid technology that provides scalable coherence in multi-core processors. It utilizes on-chip wireless links and hierarchical, clustered network-on-chip to achieve low-overhead and highly efficient coherence. Coherence within a cluster is maintained through a local directory protocol, while coherence among clusters is achieved through a global snoopy protocol.
ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS
(2022)
Article
Computer Science, Information Systems
Alessandro Borione, Lorenzo Cardone, Andrea Calabrese, Stefano Quer
Summary: Graph coloring is essential in modern applications, and the authors of this work have analyzed and implemented state-of-the-art algorithms for multi-core CPU and many-core GPU architectures. They propose a new technique to reduce both runtime and the number of colors. Experimental results show that their implementation achieves high average speedups and produces fewer colors in certain types of graphs.
Article
Computer Science, Artificial Intelligence
Feng Zhao, Junjie Zhang, Zhe Meng, Hanqiang Liu, Zhenhui Chang, Jiulun Fan
Summary: This article proposes a hybrid network called MVAHN for hyperspectral image (HSI) classification, which combines convolutional neural network (CNN) and transformer structures. It also utilizes a graph convolutional module (GCM) to extract multiple types of feature information. Experimental results show that MVAHN achieves high accuracy on various datasets.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Francesco Lumpp, Stefano Aldegheri, Hiren D. Patel, Nicola Bombieri
Summary: This article addresses the performance challenge of OpenVX on heterogeneous multi-core platforms by implementing static task scheduling and mapping using HEFT and XEFT algorithms, achieving significant performance improvements that are promising for applications in edge computing such as intelligent video analytics.
IEEE TRANSACTIONS ON COMPUTERS
(2021)
Article
Computer Science, Information Systems
Riadh Ben Abdelhamid, Yoshiki Yamaguchi, Taisuke Boku
Summary: The technology of CPU architecture alternates between generalization and specialization, entering into the era of specialization called adaptable ISA. Reconfigurable devices like FPGAs offer solutions, but FPGA design is difficult for non-hardware experts and the process is lengthy. DRAGON, as an overlay solution, provides efficient computing performance.
Article
Multidisciplinary Sciences
Rosa Merida-Garcia, Guozheng Liu, Sang He, Victoria Gonzalez-Dugo, Gabriel Dorado, Sergio Galvez, Ignacio Solis, Pablo J. Zarco-Tejada, Jochen C. Reif, Pilar Hernandez
Article
Agronomy
Rosa Merida-Garcia, Alison R. Bentley, Sergio Galvez, Gabriel Dorado, Ignacio Solis, Karim Ammar, Pilar Hernandez
Article
Agronomy
Rosa Merida-Garcia, Sergio Galyez, Etienne Paux, Gabriel Dorado, Laura Pascual, Patricia Giraldo, Pilar Hernandez
Review
Green & Sustainable Science & Technology
Eneko Ibarnia, Lluis Garay, Antonio Guevara
Article
Green & Sustainable Science & Technology
Inessa Tyan, Mariemma Yague, Antonio Guevara-Plaza
Article
Genetics & Heredity
H. Busra Cagirici, S. Galvez, Taner Z. Sen, Hikmet Budak
Summary: The critical roles of lncRNAs in biological processes have gained vast attention, and with the advancement of high-throughput sequencing technologies, high-quality data is now available for annotation. This study compares prediction accuracies of machine learning algorithms and presents a crop-specific coding potential prediction tool, LncMachine, with high accuracy when used with the Random Forest algorithm. LncMachine can be effortlessly applied to a wide range of studies by deploying user-provided algorithms in real time.
FUNCTIONAL & INTEGRATIVE GENOMICS
(2021)
Article
Genetics & Heredity
Sergio Galvez, Federico Agostini, Javier Caselli, Pilar Hernandez, Gabriel Dorado
Summary: The development of new high-performance computing architectures has not improved the execution time of widely used bioinformatics applications. Optimization of algorithms is necessary to take full advantage of new hardware, with BLVector showing significant reduction in execution time compared to BLAST+.
FRONTIERS IN GENETICS
(2021)
Review
Biochemistry & Molecular Biology
Gabriel Dorado, Sergio Galvez, Teresa E. Rosales, Victor F. Vasquez, Pilar Hernandez
Summary: Recent advancements in biomolecular research, including the development of molecular markers, nucleic acid amplification, and sequencing, are revolutionizing the field. These technologies are not only redefining the concept of genes and transcripts, but also making significant impacts in various areas such as medicine, agronomy, ecology, and biotechnology.
Article
Green & Sustainable Science & Technology
Inessa Tyan, Antonio Guevara-Plaza, Mariemma Yague
Summary: The paper discusses the benefits of blockchain technology for medical tourism, focusing on pre-procedure and post-procedure stages. It argues that blockchain technology can facilitate various aspects of medical tourism, such as disintermediation, cryptocurrency payments, secure data sharing, and trusted review systems. Despite the current challenges posed by the COVID-19 pandemic, the paper highlights opportunities for utilizing blockchain technology in the medical tourism industry.
Article
Plant Sciences
Maria Angeles Decena, Sergio Galvez-Rojas, Federico Agostini, Ruben Sancho, Bruno Contreras-Moreira, David L. Des Marais, Pilar Hernandez, Pilar Catalan
Summary: The study conducted a comparative genomics and evolution analysis of DHN genes in Brachypodium grass species, showing that key Bdhn genes are regulated by drought induction in different ecotypes, which may be a crucial factor in acquiring water-stress tolerance in plants.
Article
Hospitality, Leisure, Sport & Tourism
Alfonso Cerezo-Medina, Yolanda Romero-Padilla, Ana Garcia-Lopez, Enrique Navarro-Jurado, Juan Francisco Sortino-Barrionuevo, Antonio Guevara-Plaza
Summary: The study focused on the spatial distribution of short-term rental homes in four medium-sized Andalusian cities, identifying a concentration of STRs in historic centers which matches the pattern of traditional tourist accommodation. The results aim to help policymakers understand the impact of platform economies on tourist destinations and make informed decisions on regulating this phenomenon.
CURRENT ISSUES IN TOURISM
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Ainhoa Carballido, Antonio Guevara Plaza
Summary: With the rapid development of Information and Communication Technologies (ICT), new urban and economic models such as Smart Cities, Smart Destinations, and Smart Tourism have emerged. This paper aims to establish a comprehensive definition of these concepts and delve into the application of the smartness model in tourism destinations through a literature review.
CUADERNOS DE TURISMO
(2021)
Article
Hospitality, Leisure, Sport & Tourism
Jose Antonio C. Santos, Manuel Angel Fernandez-Gamez, Antonio Guevara-Plaza, Margarida Custodio Santos, Maria Helena Pestana
Summary: This study aimed to assess whether sociodemographic variables explain significant differences in attitudes towards transforming academic conferences into more sustainable events. The results revealed that sociodemographic variables such as attendees' gender and age explain differences in attitudes. Women and older adults have stronger pro-environmental attitudes regarding event sustainability. On the other hand, attitudes towards more sustainable academic conferences are quite strong and positive overall. More sustainable events' venues, catering, conference materials, and accommodations strongly influence attendees' attitudes towards more sustainable conferences, while the influence of transportation is weaker.
INTERNATIONAL JOURNAL OF EVENT AND FESTIVAL MANAGEMENT
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Carlos Garcia Marquez, Jose David Caballero Acedo, Francisco Jose Cantero Prados, Antonio Jesus Guevara Plaza
Summary: This paper analyzes the strategies of tourist management applied to Smart Beaches in Spain. The research is based on the concepts of Smart City and Smart Destination, proposing a two-phase methodology: the first phase is conceptual, considering the management criteria in the most commonly used beach management rules in the country; and the second phase is a calibration phase, extracting best practices. Thus, a number of requirements are presented, along with their definitions and national experiences, confirming the important role of Spain in the context of international tourist intelligence.
INVESTIGACIONES TURISTICAS
(2023)
Article
Geography
Yolanda Romero-Padilla, Alfonso Cerezo-Medina, Enrique Navarro-Jurado, Jose Maria Romero-Martinez, Antonio Guevara-Plaza
BOLETIN DE LA ASOCIACION DE GEOGRAFOS ESPANOLES
(2019)