Summer School:
e-Science with Many-Core CPU/GPU Processors

This Summer School will provide participants with knowledge and hands-on experience in developing applications software for many-core processors with massively parallel computing resources.

By end of the Summer School, participants will:

• Understand algorithm styles that are suitable for accelerators.
• Understand the most important architectural performance considerations to developing applications.
• Be exposed to computational thinking skills for accelerating applications in science and engineering.
• Gain ability to engage computing accelerators on science and engineering breakthroughs.

Note: Participants are encouraged to bring their own laptops. Laptop computers will not be provided for participants.

Organization
The Summer School was organized by the Directors of the Advanced Computing Program at CoLab: Keshav Pingali at CoLab@Austin, and Alberto Proenca at CoLab@Portugal.
The Local Organization of the event and the training of the TA's had the collaboration of the faculty members Antonio Ramires Fernandes and Luis Paulo Santos.
The organization is also thankful to:

• NVidia support for this event, by supplying the training books for the participants and one Fermi device C2050 for the MCSS
• Rui Ralha and Nuno Micaelo for their excellent choice and invitation of the European Speakers for two case studies
• Vitor Oliveira, who got and installed the dual Xeon board with the Fermi device, and who efficiently ensured a reliable GPU clusters for the Summer School
• Jose Luis Faria, who managed the website and kept it updated
• Joao Barbosa, who tested all hands-on exercises and helped to train the remaining 5 TA's, simultaneously ensuring that everything ran smoothly for the whole event, and the remaining 5 TA's, post-grad students at UMinho: Cesar Gomes, Matheus Almeida, Rui António Silva, Rui Costa, Vanio Ferreira.

Video presentations, lessons, and other resources from last Summer School offered by the Virtual School of Computational Science and Engineering, which focused on GPU and multicore processors, are available online.