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MC&WG Meeting Special Session in Cracow

As part of its first MC/WG cHiPSet in Cracow on 11/Sep/2015, cHiPSet hosted a special cross-pollination session with leading industry and academic organisations. There were presentations from Center for Technology Transfer of Cracow University of Technology, Comarch, NESUS Cost Action, and the Kościuszko Institute. All presentation offer a great opportunity to increase cooperation endeavours for cHiPSet participants. More details avaiable at http://chipset-cost.eu/index.php/mcwg-meeting-special-session/


cHiPSet – NESUS cooperation plans

In the spirit of COST initiatives, cHiPSet and NESUS Cost Actions chairs – Prof. Joanna Kolodziej and Prof. Jesus Carretero have attended each others’ actions meeting held in Cracow on September 10 and 11, 2015. The main aims, objectives, and achievements of both Actions were presented by Chairs during the plenary sessions and workshops (http://chipset-cost.eu/index.php/agenda/ , http://www.nesus.eu/second-action-wgs-workshop-and-fourth-mc-meeting.html). There was general consensus among all members of both Actions that cross-pollination has increased. There are specific endeavours to improve long-term synergies and collaborations.


“Resource Management for Big Data Platforms and Applications” – invitation for chapters

Many applications generate Big Data, like social networking and social influence programs, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grow rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficient exploit the power of widely distributed resources. The book provides, in this sense, a platform for the dissemination of advanced topics of theory, research efforts and analysis and implementation of resource management systems for Big Data platforms and applications. The book constitutes a flagship driver towards presenting and supporting advance research in the area of Big Data platforms and applications. The focus of the […]


Special session at the CIBB 2015

Andrea Bracciali (WG3 leader) and Ivan Merelli (WG3) have co-organised the special session on Large-Scale and HPC data analysis in bioinformatics: intelligent methods for computational, systems and synthetic biology at the CIBB 2015 – Computational Intelligence Methods for Bioinformatics and Biostatistics international conference, which will be held in Naples from the 10th to the 12th of September. More information: http://bioinfo.na.iac.cnr.it/cibb2015/#schedule   Aims and scope Biomedical research is currently facing the Big Data wave created by the huge amount of experiments performed every day in -omics sciences. This new situation demands appropriate IT infrastructures and scalable software to analyse data within […]


cHIPSet STSM Call for 7 grants (deadline 10th of September)

Short Term Scientific Missions Eligibility Rules for cHIPSet (COST 1406) <www.chipset-cost.eu/index.php/stsm/> <http://www.cost.eu/COST_Actions/ict/Actions/IC1406>  FOR UPDATED VERSION PLEASE VISIT: www.chipset-cost.eu/index.php/stsm/ In the starting up meeting at Brussels, we MC approved to issue 10 grants for Short Term Scientific Missions (STSM) for a total amount of 20.000 euros for the 1st year. It has been confirmed by the science officer Federica Ortelly, that this budget estimation can be adapted (up to a certain point) in order to serve the candidates in the best way we may manage.   Find next a proposal to manage the STSM grants for this first year period of […]


Welcome to our COST Action Website

This is the homepage of the COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). The website is partly under construction, but you can find a lot of interesting information. We are busy adding the missing parts which will hopefully not take too much time. If you have any further questions, please do not hesitate to contact with us.