Agenda

In this lecture, organised in collaboration with UPC, Dr Vargas will explore the key challenges and opportunities for data management in the new scientific world, and discuss how a possible data centric artificial intelligence community can best contribute to these exciting domains.

BSC organizes a two-days school on the topics of the RDA Interest Group on weather, climate and air quality (IG): https://rd-alliance.org/groups/weather-climate-and-air-quality Lessons will consist of theoretical talks and hands-on session. The course will take place on Thursday and Friday, organised in four modules and will be in English. To register please e-mail francesco.benincasa@bsc.es or pierre-antoine.bretonniere@bsc.es

This SIESTA school, organized within the European Centre of Excellence MaX, is a four-day hands-on tutorial on the use of the SIESTA code for users and those who would like to learn how to use it.

In the Big Data era, due to the ever-growing graph scale and algorithm complexity, several distributed graph processing frameworks have attracted many interests from both academia and industry. In this talk, will be investigated how to achieve the trade-off between performance and cost for large scale graph processing on the Cloud.

The workshop focuses on the Mathematics for Exascale, Data Science and in a wider aspect Digital Science challenges. In the above context, this workshop brings together key stakeholders to outline the needs, the challenges and approaches to address them, as well as to discuss possible synergies and similarities between the different EU initiatives in those areas.

Started in 2011, the Mont-Blanc project leverages the fast growing market of mobile technology for scientific computation. During the project, several ARM-based computational platforms have been deployed and configured as production systems for HPC. In this course the Mont-Blanc consortium open these platforms to the public enabling ARM in general HPC.

Next Generation Sequencing technology needs to be intimately linked to supercomputing to be able to process and store all the massive generated data. This is a scientific workshop supported by the Spanish Supercomputing Network (RES).

Fast content-based searches and complex analytics of the vast amount of data collected via social media, cell phones, ubiquitous smart sensors, and satellites is likely to be the biggest economic driver for the IT industry over the next decade. A cheaper and cooler alternative to large clusters which provides high-performance, high-capacity, scalable random-access flash storage, and allows computation near the data via FPGA-based programmable flash controllers will be presented.