ECAR 2014 - Third High Performance Computing School - ECAR 2014
Topics/Call fo Papers
The main goal of ECAR 2014 School is the training of human resources (undergraduate and graduate students, ICT professionals, researchers) in different areas of the HPC by means of courses that consider theoretical and practical sessions. The courses belong to the following areas of the HPC:
HPC Clusters: Cluster Architecture, Management & Maintenance, Scientific Programming, Grid & Cloud Computing.
Parallel Computing: Distributed & Shared Memory Clusters, Performance Evaluation and Optimization, Parallel Programming (Models, Libraries, Visualization), GPU Computing.
Scientific Computing: Methods and Techniques, Simulation of Complex Systems, Statistical Analysis of Simulation Results, Discrete and Continuous Complex Systems.
The courses will be given in Spanish.
COURSES
Until now, the following courses have been confirmed: (in alphabetical order):
Enrique Alba
Universidad de Málaga
España Metaheurísticas Paralelas
Carlos Berderian
Universidad Nacional de Córdoba
Argentina Optimización del Rendimiento de Aplicaciones GPU
Carlos Garcia-Garino, David Monge, Elina Pacini
Universidad Nacional de Cuyo
Argentina Introducción a Cloud Computing
José Luis Gordillo
Universidad Nacional de México
México Administración de Clusters
Por confirmar.
Introducción a la Computación Paralela
Roberto León
Universidad Santa María
Chile Scientific Python
Sergio Nesmachnow
Universidad de la República
Uruguay Programación Paralela de Memoria Distribuida
Robinson Rivas
Universidad Central de Venezuela
Venezuela Álgebra Lineal Paralela
Carsten Trinitis
Technical University of Munich
Germany Performance Optimization of Multi-core Applications
Manuel Ujaldón
CUDA Fellow
España Introducción a GPU Computing & Programming
Detailed information of the courses will be published in May.
HPC Clusters: Cluster Architecture, Management & Maintenance, Scientific Programming, Grid & Cloud Computing.
Parallel Computing: Distributed & Shared Memory Clusters, Performance Evaluation and Optimization, Parallel Programming (Models, Libraries, Visualization), GPU Computing.
Scientific Computing: Methods and Techniques, Simulation of Complex Systems, Statistical Analysis of Simulation Results, Discrete and Continuous Complex Systems.
The courses will be given in Spanish.
COURSES
Until now, the following courses have been confirmed: (in alphabetical order):
Enrique Alba
Universidad de Málaga
España Metaheurísticas Paralelas
Carlos Berderian
Universidad Nacional de Córdoba
Argentina Optimización del Rendimiento de Aplicaciones GPU
Carlos Garcia-Garino, David Monge, Elina Pacini
Universidad Nacional de Cuyo
Argentina Introducción a Cloud Computing
José Luis Gordillo
Universidad Nacional de México
México Administración de Clusters
Por confirmar.
Introducción a la Computación Paralela
Roberto León
Universidad Santa María
Chile Scientific Python
Sergio Nesmachnow
Universidad de la República
Uruguay Programación Paralela de Memoria Distribuida
Robinson Rivas
Universidad Central de Venezuela
Venezuela Álgebra Lineal Paralela
Carsten Trinitis
Technical University of Munich
Germany Performance Optimization of Multi-core Applications
Manuel Ujaldón
CUDA Fellow
España Introducción a GPU Computing & Programming
Detailed information of the courses will be published in May.
Other CFPs
- Latin American High Performance Computing Conference
- special issue of Information Processing and Management
- 8th Workshop on Geographic Information Retrieval GIR'14
- 9th IEEE International Conference on Malicious and Unwanted Software "MALCONF 2014"
- International Conference on Engineering Technology & Technopreneurship (ICE2T)
Last modified: 2014-05-20 22:06:43