CERN openlab: a Model for Research, Innovation and Collaboration

<p>This presentation describes the major present and future computing and data challenges in the scientific research done at CERN in High Energy Physics and how the CERN openlab helps in addressing these challenges through collaboration with major industrial companies. This presentation was given at the International Supercomputing in Mexico 2014 (ISUM 2014) conference.</p

Big Data e Big Science

<p>Breve presentazione del ruolo dei dati nelle scoperte scientifiche, di come la comunita HEP gestisce la raccolta, analisi e distribuzione dei dati dell'LHC e delle nuove sfide tecnologiche e professionali. Presentata in italiano al SAS Forum 2014</p

Big Data for Big Discoveries: How LHC Finds Needles by Burning Haystacks

<p>Overview presentation of the CERN and LHC Experiments computing and data infrastructure and the technology evolution strategies being currently evaluated. Presented at the HPC & Big Data Conference, London on 4 Feb 2016</p

CERN Science and Technology

<p>A high-level overview of the relationship between science and technology at CERN and the impact of technology on research with a focus on ICT technologies. Presented as a 12-minute "power-talk" at CIOCity 2015, Brussels</p

Big Data Challenges - Power and Responsibilities

<p>Keynote presentation at the HEPTech Conference on Big Data, Budapest, 30 March 2015. A personal definition of Big Data, its technological challenges and impact on society.</p

The Challenges of Scientific Computing

This presentation describes a number of computing and data challenges experienced as part of the LHC and WLCG programs. It shows how these challenges are evolving also as part the CERN openlab partners' programs to follow the growing LHC requirements and discusses the importance of global collaborations and new service provisioning models in scientific research

How EMI Contributed to the Higgs Boson Discovery

This video describes the EMI (European Middleware Initiative) software services and how they have contributed to the discovery of the Higgs boson at CERN in 2012 by powering the WLCG computing gri

BBiCat: Alpha version of a Java implementation of BBiCAT project

<p>This is the Java implementation of a research project on modelling and analysis of complex systems. Release contains Local implementation of the BiMax algorithm, refactored code of BiCat toolbox, Bayesian post-analysis which uses NCI Curated Pathways database, possibilities of calling R script from Java code, Parser that maps illumina names to HGNC Symbols and usage cases of all the above mentioned. Also, a class that can read and process bigger datasets with which BiCat GUI had a trouble. Also, Mean Squared Residue Score implementation is included in the bicluster class to have a numeric metric for assessment as well.</p> <p> </p> <p>Please visit http://www.tik.ethz.ch/sop/bicat/?page=licensingAgree.php in order to obtain the native libraries used for the project</p