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ORCIDLiria Matsumoto Sato
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2020 – today
- 2024
[j5]Carlos A. T. Aguni
, Liria M. Sato, Edson T. Midorikawa:
MCMPI: A library with elasticity for multi-domain and public cloud environments. Concurr. Comput. Pract. Exp. 36(18) (2024)- 2021
- [j4]Anderson Rici Amorim, Geraldo Francisco Donegá Zafalon, Allan De Godoi Contessoto, Carlos Roberto Valêncio, Liria Matsumoto Sato:
Metaheuristics for multiple sequence alignment: A systematic review. Comput. Biol. Chem. 94: 107563 (2021) - [c25]Erico Correia Da Silva, Liria Matsumoto Sato, Edson Toshimi Midorikawa:
Distributed file system for rewriting Big Data files using a local-write protocol. IEEE BigData 2021: 3646-3655
2010 – 2019
- 2016
- [j3]Hermes Senger, Veronica Gil-Costa, Luciana Arantes, Cesar Augusto Cavalheiro Marcondes, Mauricio Marín, Liria Matsumoto Sato, Fabrício A. B. da Silva:
BSP cost and scalability analysis for MapReduce operations. Concurr. Comput. Pract. Exp. 28(8): 2503-2527 (2016) - [c24]Darlon Vasatay, Liria Matsumoto Sato:
Cross Join Operation Over Large Quantities of Data Considering Data Locality and Data Replication. CSE/EUC/DCABES 2016: 522-525 - [i1]Artur Baruchi, Edson T. Midorikawa, Liria M. Sato, Marco A. S. Netto:
Exploiting Workload Cycles for Orchestration of Virtual Machine Live Migrations in Clouds. CoRR abs/1607.07846 (2016) - 2014
- [c23]Phillip Viana, Liria M. Sato:
A Proposal for a Reference Architecture for Long-Term Archiving, Preservation, and Retrieval of Big Data. TrustCom 2014: 622-629 - 2013
- [c22]Silvio Luiz Stanzani, Liria Matsumoto Sato, Marco Aurélio Stelmar Netto:
Scheduling Workflows in Multi-cluster Environments. AINA Workshops 2013: 560-565 - [c21]Ricardo Ryoiti Sugawara Junior, Liria Matsumoto Sato:
The Use of Locality Information on Data Intensive Parallel File Systems. CSE 2013: 167-173 - 2012
- [j2]Francisco Isidro Massetto, Liria Matsumoto Sato, Kuan-Ching Li:
A novel strategy for building interoperable MPI environment in heterogeneous high performance systems. J. Supercomput. 60(1): 87-116 (2012) - [c20]Augusto Mendes Gomes Junior, Liria Matsumoto Sato, Francisco Isidro Massetto:
A Parallel Application Programming and Processing Environment Proposal for Grid Computing. CSE 2012: 154-161 - [c19]Fernando H. P. Luz, Denis Taniguchi, Liria M. Sato:
A Non-intrusive Methodology to Improve the Performance of Parallel Applications in High Performance Computing. ICPP Workshops 2012: 390-396 - [c18]Fernando Tarla Cardoso Lemos, Liria Matsumoto Sato:
Improving the Quality of Service of Fault Detection in Distributed Platforms under Adverse Network Conditions. WSCAD-SSC 2012: 171-178 - 2011
- [c17]Fernando Kakugawa, Liria Matsumoto Sato, Mathias Santos de Brito:
Architecture to Integrating Heterogeneous Databases Using Grid Computing. ICSEng 2011: 257-262 - 2010
- [c16]Francisco Isidro Massetto, Augusto Mendes Gomes Junior, Fernando Kakugawa, Calebe De Paula Bianchini, Liria Matsumoto Sato, Ching-Hsien Hsu, Kuan-Ching Li:
A Message Forward Tool for Integration of Clusters of Clusters Based on MPI Architecture. MTPP 2010: 105-114
2000 – 2009
- 2009
- [c15]Elaine Cristina Machtans, Liria Matsumoto Sato, Airton Deppman:
Improvement on Scheduling Dependent Tasks for Grid Applications. CSE (1) 2009: 95-102 - [c14]Mathias Santos de Brito, Fernando Kakugawa, Liria Matsumoto Sato, Pedro L. P. Corrêa, Luciano Ogiboski, Rogerio Leis:
An Architecture for Integrating Databases with Replication Support Based on the OGSA-DAI Middleware. CSE (1) 2009: 298-305 - 2008
- [c13]Mathias Santos de Brito, Liria Matsumoto Sato:
Extending OGSA-DAI Possibilities with a JDBC Driver. CSE 2008: 155-162 - 2007
- [j1]Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe De Paula Bianchini, Bruno F. Jerosch:
Exploiting idle cycles to execute data mining applications on clusters of PCs. J. Syst. Softw. 80(5): 778-790 (2007) - [c12]Nilton Cézar de Paula, Gisele da Silva Craveiro, Liria Matsumoto Sato:
Data Transfer in Advance on Cluster. PaCT 2007: 599-607 - 2006
- [c11]Francisco Isidro Massetto, Augusto Mendes Gomes Junior, Liria Matsumoto Sato:
HyMPI - A MPI Implementation for Heterogeneous High Performance Systems. GPC 2006: 314-323 - 2005
- [c10]Kuan-Ching Li, Hsun-Chang Chang, Chao-Tung Yang, Liria Matsumoto Sato, Chung-Yuan Yang, Yin-Yi Wu, Mao-Yueh Pel, Hsiang-Kai Liao, Min-Chieh Hsieh, Chia-Wen Tsai:
On Construction of a Visualization Toolkit for MPI Parallel Programs in Cluster Environments. AINA 2005: 211-214 - [c9]Francisco Isidro Massetto, Augusto Mendes Gomes Junior, Liria Matsumoto Sato:
HMPI - hybrid MPI. HPDC 2005: 306-307 - 2004
- [c8]Gisele da Silva Craveiro, Liria Matsumoto Sato:
CPAR-Cluster: a runtime system for heterogeneous clusters with mono and multiprocessor nodes. CCGRID 2004: 387-394 - [c7]Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe De Paula Bianchini, Marcelo D. Esperidiãao:
Inhambu: Data Mining Using Idle Cycles in Clusters of PCs. NPC 2004: 213-220 - 2003
- [c6]Hermes Senger, Liria Matsumoto Sato:
Load Distribution for Heterogeneous and Non-Dedicated Clusters Based on Dynamic Monitoring and Differentiated Services. CLUSTER 2003: 199-206 - [c5]Augusto Mendes Gomes Junior, Liria Matsumoto Sato, Francisco Isidro Massetto, Calebe De Paula Bianchini:
A Strategy for Implementation of Applications with Global Information-Dependent Execution for Clusters of Computers. PDPTA 2003: 1586-1590 - 2002
- [c4]Mario Donato Marino, Liria Matsumoto Sato:
Evaluating the Speedup of a MPI-based Distributed Dispersion Simulator for Ground Water Systems. ICPADS 2002: 239-244 - [c3]Kuan-Ching Li, Jean-Luc Gaudiot, Liria Matsumoto Sato:
Performance Prediction Methodology for Parallel Programs with MPI in NOW Environments. IWDC 2002: 268-279
1990 – 1999
- 1999
- [c2]Kuan-Ching Li, Liria Matsumoto Sato:
Applying PARASYS for Parallel Algorithm Analysis. PDPTA 1999: 1934-1938 - [c1]Laís do Nascimento Salvador, Liria Matsumoto Sato:
Synchronization Constraints in a Concurrent Object Oriented Programming Model. PDPTA 1999: 2091-2094
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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