Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Guillermo L. Taboada"'
Publikováno v:
Journal of Computer Science and Technology, Vol 13, Iss 03, Pp 153-159 (2018)
Amazon Web Services (AWS) is a well-known public Infrastructure-as-a-Service (IaaS) provider whose Elastic Computing Cloud (EC2) o ering includes some instances, known as cluster instances, aimed at High-Performance Computing (HPC) applications. In p
Externí odkaz:
https://doaj.org/article/d43450ea06c54e54a4f850bea78dfeda
Autor:
Guillermo L. Taboada, Liangxiu Han
Publikováno v:
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
Electronics
Volume 9
Issue 8
RUC. Repositorio da Universidade da Coruña
instname
Electronics, Vol 9, Iss 1270, p 1270 (2020)
Universidade da Coruña (UDC)
Electronics
Volume 9
Issue 8
RUC. Repositorio da Universidade da Coruña
instname
Electronics, Vol 9, Iss 1270, p 1270 (2020)
[Abstract] This paper deals with the efficiency and sustainability of urban rail transit (URT) using exploratory data analytics (EDA) and data envelopment analysis (DEA). The first stage of the proposed methodology is EDA with already available indic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f22334489ec9a2e769f41b2188dfea4
http://hdl.handle.net/2183/26642
http://hdl.handle.net/2183/26642
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
instname
Analysis and evaluation of several HPC-oriented MapReduce frameworks on a cluster.Proposal of a taxonomy to classify these frameworks according to their characteristics.Experimental configuration using several workloads, cluster sizes, networks and d
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
instname
This is a post-peer-review, pre-copyedit version of an article published in Journal of Parallel and Distributed Computing. The final authenticated version is available online at: https://doi.org/10.1016/j.jpdc.2018.04.001 [Abstract] As the memory cap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cf75913eb83b511c38bc5a40dac8190
http://hdl.handle.net/2183/21765
http://hdl.handle.net/2183/21765
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:2322-2340
Summary Accelerators have revolutionised the high performance computing (HPC) community. Despite their advantages, their very specific programming models and limited communication capabilities have kept them in a supporting role of the main processor
Publikováno v:
Concurrency and Computation: Practice and Experience. 27:4852-4879
Providing high-performance inter-node communication is a key capability for running high performance computing applications efficiently on parallel architectures. In fact, current systems deployments are aggregating a significant number of cores inte
Publikováno v:
ICCS
The popularity of Big Data computing models like MapReduce has caused the emergence of many frameworks oriented to High Performance Computing (HPC) systems. The suitability of each one to a particular use case depends on its design and implementation
Publikováno v:
Concurrency and Computation: Practice and Experience. 27:1169-1187
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 memory systems using Java. Nonblockin
Publikováno v:
International Journal of High Performance Computing Applications
RUC. Repositorio da Universidade da Coruña
instname
RUC. Repositorio da Universidade da Coruña
instname
[Abstract] This paper presents the high-performance computing (HPC) support of jModelTest2, the most popular bioinformatic tool for the statistical selection of models of DNA substitution. As this can demand vast computational resources, especially i
Parallel simulation of Brownian dynamics on shared memory systems with OpenMP and Unified Parallel C
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
The Journal of Supercomputing
instname
The Journal of Supercomputing
This is a post-peer-review, pre-copyedit version of an article published in The Journal of Supercomputing. The final authenticated version is available online at: https://doi.org/10.1007/s11227-012-0843-1 [Abstract] The simulation of particle dynamic