NOBUGS 2016

Session

Contributions 5

18 Oct 2016, 13:30

Marble Hall (Copenhagen University)

20. Data Analysis & Management System for China Spallation Neutron Source

Dr JUNRONG ZHANG (Institute of High Energy Physics, Chinese Academy of Sciences)

18/10/2016, 13:30

Oral Contribution

The data analysis & management system at China Spallation Neutron Source (CSNS) adopts the sophisticated designs and the existing resources from various big-science facilities. The software for each beamline will be developed and deployed in the unified framework. Both facility and users can benefit from it. Under the strategy, a distributed data processing framework (DroNE) and message...

3. Web Data Analysis at the Spallation Neutron Source

Dr Ricardo Ferraz Leal (SNS)

18/10/2016, 13:50

Oral Contribution

Neutron scattering is one of the most effective ways to obtain information on both, the structure and the dynamics of condensed matter. The Spallation Neutron Source (SNS) is an accelerator-based neutron source at the Oak Ridge National Laboratory (TN, USA). This facility provides the most intense pulsed neutron beams in the world for scientific research and industrial development....

62. Advances in High-Performance Data Analysis & Data Management at the APS

Mr Nicholas Schwarz (Argonne National Laboratory)

18/10/2016, 14:10

Oral Contribution

High-performance data analysis software and computing infrastructure are of particular importance for synchrotron facility productivity. Demands for increased computing at user facilities is driven by new scientific opportunities enabled by new measurement techniques, technological advances in detectors, multi-modal data utilization, and advances in data analysis algorithms. The proposed...

51. Data Analysis Infrastructure for Diamond Light Source Macromolecular & Chemical Crystallography

Dr Markus Gerstel (Diamond Light Source Ltd)

18/10/2016, 14:30

Oral Contribution

A proposal for the future data analysis infrastructure at Diamond Light Source is presented. Built on a messaging framework a variable number of distributed servers working in parallel replaces monolithic batch jobs running on a single node. This infrastructure is scalable, can be easily extended, and even allows moving heavily CPU-bound tasks, such as the processing of reduced macromolecular...

66. Trust and Identity: an implementation of Moonshot and the vision of transparent interworking

Dr Bill Pulford (Dimaond Light Source)

18/10/2016, 14:50

Oral Contribution

Diamond Light Source, the UK national synchrotron, is used by many thousands of researchers from the UK and many other countries each year. It works like a giant microscope, harnessing the power of electrons to produce bright light that can be used to study anything from fossils to jet engines to viruses and vaccines. Frequently the boundaries of the research extend across many other...

34. Recent Developments in the ICAT Job Portal

Dr Brian Ritchie (RAL - STFC)

18/10/2016, 15:10

Oral Contribution

The ICAT Job Portal (IJP) allows users to create and submit jobs to HPC resources or compute farms, taking as inputs datasets and datafiles selected using ICAT catalog searches, with jobs using the ICAT Data Service for data access. Jobs are specified via Job Types, where each Job Type defines: whether a job is interactive or can be run as a batch job; the dataset types for which a job...