Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Cunha, Renato L. F."'
Interactive computing notebooks, such as Jupyter notebooks, have become a popular tool for developing and improving data-driven models. Such notebooks tend to be executed either in the user's own machine or in a cloud environment, having drawbacks an
Externí odkaz:
http://arxiv.org/abs/2107.00187
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
In this work, we consider the problem of combining link, content and temporal analysis for community detection and prediction in evolving networks. Such temporal and content-rich networks occur in many real-life settings, such as bibliographic networ
Externí odkaz:
http://arxiv.org/abs/1807.06560
Yield forecast is essential to agriculture stakeholders and can be obtained with the use of machine learning models and data coming from multiple sources. Most solutions for yield forecast rely on NDVI (Normalized Difference Vegetation Index) data, w
Externí odkaz:
http://arxiv.org/abs/1806.09244
High Performance Computing (HPC) applications are essential for scientists and engineers to create and understand models and their properties. These professionals depend on the execution of large sets of computational jobs that explore combinations o
Externí odkaz:
http://arxiv.org/abs/1802.01030
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
The task of determining item similarity is a crucial one in a recommender system. This constitutes the base upon which the recommender system will work to determine which items are more likely to be enjoyed by a user, resulting in more user engagemen
Externí odkaz:
http://arxiv.org/abs/1704.03844
A common workflow in science and engineering is to (i) setup and deploy large experiments with tasks comprising an application and multiple parameter values; (ii) generate intermediate results; (iii) analyze them; and (iv) reprioritize the tasks. The
Externí odkaz:
http://arxiv.org/abs/1611.02917
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