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pro vyhledávání: '"RODRIGUES, EDUARDO R."'
Running high-resolution physical models is computationally expensive and essential for many disciplines. Agriculture, transportation, and energy are sectors that depend on high-resolution weather models, which typically consume many hours of large Hi
Externí odkaz:
http://arxiv.org/abs/1808.05264
Autor:
Cunha, Renato L. de F., Rodrigues, Eduardo R., Viana, Matheus Palhares, Oliveira, Dario Augusto Borges
In recent years, with the popularization of deep learning frameworks and large datasets, researchers have started parallelizing their models in order to train faster. This is crucially important, because they typically explore many hyperparameters in
Externí odkaz:
http://arxiv.org/abs/1807.09161
Autor:
Netto, Marco A. S., Calheiros, Rodrigo N., Rodrigues, Eduardo R., Cunha, Renato L. F., Buyya, Rajkumar
Publikováno v:
ACM Computing Surveys (CSUR) Volume 51 Issue 1, January 2018 Article No. 8
High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research efforts in HPC cloud aim to understand the cost-benefit of moving resource
Externí odkaz:
http://arxiv.org/abs/1710.08731
Resource allocation in High Performance Computing (HPC) settings is still not easy for end-users due to the wide variety of application and environment configuration options. Users have difficulties to estimate the number of processors and amount of
Externí odkaz:
http://arxiv.org/abs/1611.02905
Several companies and research institutes are moving their CPU-intensive applications to hybrid High Performance Computing (HPC) cloud environments. Such a shift depends on the creation of software systems that help users decide where a job should be
Externí odkaz:
http://arxiv.org/abs/1608.06310
Publikováno v:
In Future Generation Computer Systems February 2017 67:35-46
Publikováno v:
In Science of Computer Programming 1 April 2013 78(4):412-421
Akademický článek
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Autor:
NETTO, MARCO A. S., CALHEIROS, RODRIGO N., RODRIGUES, EDUARDO R., CUNHA, RENATO L. F., BUYYA, RAJKUMAR
Publikováno v:
ACM Computing Surveys; Jan2019, Vol. 51 Issue 1, p1-29, 29p
Publikováno v:
2011 IEEE 17th International Conference on Parallel & Distributed Systems (ICPADS); 2011, p220-227, 8p