Conveners
Computing Services Part II
- Florian Berberich (JUELICH)
Mr
Alvaro Lopez Garcia
(CSIC)
10/10/2018, 16:30
Area 3. Computing and Virtual Research Environments
Presentation
Much hope has been recently placed on deep learning as a machine learning technique that enables scientists to develop novel hypotheses and analyse large and complex datasets. Deep learning techniques have emerged from two major technological developments. First, the evolution of the internet has led to the creation and global availability of large datasets. Second, through large-scale...
Mrs
Nina Zimmermann
(Univ. of Applied Sciences (HTW) Berlin)
10/10/2018, 16:45
Area 3. Computing and Virtual Research Environments
Presentation
Accessing datasets stored on tape drives is comparatively time-consuming. Therefore, a certain fraction of all datasets is usually provided on a cache storage built of hard disks. Caching algorithms are used to identify popular datasets and to move them in advance from tape drives to the cache storage. In general, there is a considerable gap between the effectiveness of traditional caching...
Mr
Teodor Simchev
(IICT-BAS)
10/10/2018, 17:00
Area 3. Computing and Virtual Research Environments
Presentation
The vast majority of HPC users are heavily leveraging MPI middleware for their applications. Historically, MPI was mainly configured on Supercomputer Systems and the applications were living in the boundaries set by the system administrators. This led to different issues, including but not limited to problems with application distribution, environment configuration, resource allocation and...
Mr
Eric BOYER
(CINES (Centre Informatique National de l'Enseignement Supérieur), FRANCE)
10/10/2018, 17:15
Area 3. Computing and Virtual Research Environments
Presentation
CINES has initiated the deployment of the “Whole System Design for Energy Efficient HPC” solution on its 3,5 Pflops production system Tier1 (OCCIGEN). This solution developed within the PRACE-3IP PCP (joint Pre-Commercial Procurement involving CINECA, CSC, EPCC, GENCI and JUELICH) is a the result of R&D services for improvement of the energy efficiency of HPC systems, to address the energy...
Dr
Marijan Beg
(European XFEL GmbH)
10/10/2018, 17:30
Area 3. Computing and Virtual Research Environments
Presentation
Computational science based on simulation or experimental data typically requires data analysis to extract insight from potentially large data sets. In this project, we explore the suitability of the Jupyter Notebook to drive the processing chain from raw data to figures used in publications and reports.
Computational Science is emerging as a key tool in academia and industry. For example,...
Andrei Tsaregorodtsev
(CNRS)
10/10/2018, 17:45
Area 5. Digital Infrastructures for EOSC and/or EDI
Presentation
The DIRAC services are available for the EGI users since 2014 and since 2018 they are making part of the EOSC-Hub service portfolio. The services are providing a versatile Workload Management System which can replace the gLite WMS service. It gives access to all the EGI grid and cloud resources used for intensive computations. Users are allowed to specify also their own computing and storage...
