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clOpenCL : supporting distributed heterogeneous computing in HPC clusters

Alves, Albano Agostinho Gomes; Rufino, José; Pina, António Manuel Silva; Santos, Luís Paulo

Clusters that combine heterogeneous compute device architectures, coupled with novel programming models, have created a true alternative to traditional (homogeneous) cluster computing, allowing to leverage the performance of parallel applications. In this paper we introduce clOpenCL, a platform that supports the simple deployment and efficient running of OpenCL-based parallel applications that may span several ...


Running user-provided virtual machines in batch-oriented computing clusters

Oliveira, Vítor; Pina, António Manuel Silva; Rocha, André

The use of virtualization in HPC clusters can provide rich software environments, application isolation and efficient workload management mechanisms, but system-level virtualization introduces a software layer on the computing nodes that reduces performance and inhibits the direct use of hardware devices. We propose an unobtrusive user-level platform that allows the execution of virtual machines inside batch j...


A WCS-based approach to integrate satellite imagery data in wildfire simulation

Esteves, António; Pina, António Manuel Silva

This paper describes the integration of multi-dimensional data from satellite sensors in a Civil Protection application that simulates fire spread. The approach uses standard Web Coverage Services from OGC to fetch and process land cover and recently burned areas, available in the form of satellite imagery data previously captured by the MODIS sensor, to automatically generate renovated fuel maps. The proposed ...


Even bigger data : preparing for the LHC/ATLAS upgrade

Oliveira, Vítor; Pina, António Manuel Silva; Castro, N.; Onofre, A.; Veloso, F.

The Large Hadron Collider’s (LHC) experiments’ data volume is expected to grow one order of magnitude following the machine operation conditions upgrade in 2013-2014. The challenge to the scientific results of our team is: i) how to deal with a 10-fold increase in the data volume that must be processed for each analysis, while ii) supporting the increase in the complexity of the analysis applications, iii) redu...


A geographical information system for wild fire management

Pina, António Manuel Silva; Esteves, António; Puga, Joel; Oliveira, Vítor

he CROSS-Fire project focus on developing a grid-based framework for wild fire management using FireStation (FS) as a standalone application that simulates the fire spread over complex topography. The overall software development is made of several components: client applications, which request geo-referenced data and fire spread simulation, Spatial Data Infrastructures (SDI), which provide geo-referenced data...


An automated cluster/grid task and data management system

Miranda, Luís; Sá, Tiago; Pina, António Manuel Silva; Oliveira, Vítor

CROSS-Fire is a research project focused on wildfire management related topics, that defines an architecture integrating three main components: the CROSS-Fire Platform, implemented as an OGS-WS compatible Web Processing System layer; a Spatial Data Infrastructure platform; a Distributed Computing Infrastructure, supporting both cluster and grid environments. The main objective is to exploit Cluster/Grid middlew...


Cross-Fire : a grid platform to integrate geo-referenced web services for real-...

Pina, António Manuel Silva; Oliveira, B.; Ribeiro, Luís Mário; Puga, Joel; Esteves, António; Proença, Alberto José; Viegas, Domingos X.

Fire propagation simulation tools are useful at different levels of forest fire management. From prescribed fire planning to fuel hazard assessment or to the development of fire suppression strategies on wildfires or even training activities. Nevertheless, real time use of such tools is still very limited among the operational authorities for several reasons: lack of good real time data, lack of training or eve...


An OGC/SOS conformant client to manage geospatial data on the GRID

Esteves, António; Caldas, Marco; Pina, António Manuel Silva; Proença, Alberto José

This paper describes a Sensor Observation Service (SOS) client developed to integrate dynamic geospatial data from meteorological sensors, on a grid-based risk management decision support system. The present work is part of the CROSS-Fire project, which uses forest fires as the main case study and the FireStation application to simulate fire spread. The meteorological data is accessed through the SOS standard f...


A platform to support civil protection applications on the GRID

Pina, António Manuel Silva; Oliveira, B.; Puga, Joel; Esteves, António; Proença, Alberto José

The CROSS-Fire is a Portuguese NGI funded project focus-ing on the development of a grid-based risk management decision support system for the Civil Protection (CP), using forest fires as the main case study. The project defines a general approach for the development of a CP application by defining an architecture that integrates three main layers: the CROSS-Fire Platform and two external infrastructures: a Spa...


Bridging the gap between applications geospatial data and the Grid

Pina, António Manuel Silva; Oliveira, B.; Puga, Joel; Esteves, António; Proença, Alberto José


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    Financiadores do RCAAP

Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia