Dr
Garrett Granroth
(Oak Ridge National Laboratory)
17/10/2016, 13:30
Oral Contribution
A new generation of instruments has resulted in increased complexity at all levels of the data chain. Furthermore, the experiments on these instruments, and the desire to compare the results to more detailed models, leads to a very large and diverse computational environment. Yet our goal is to facilitate the use of such facilities to expedite the users’ knowledge production. This contribution...
Dr
Nicola Wadeson
(Diamond Light Source UK)
17/10/2016, 13:50
Oral Contribution
Savu is an open-source, portable, tomography reconstruction and processing
pipeline developed at the Diamond Light Source as a post-processing tool for tomography data collected with a parallel beam geometry. Written in object-oriented python, it runs in parallel using mpi-based cluster computing or serially on a PC. The parallel
HDF5 backend handles big data, and the design allows...
Prof.
Brian Vinter
(Niels Bohr Institute, University of Copenhagen)
17/10/2016, 14:10
Oral Contribution
In business, Big Data analysis is most often managed with the Hadoop system[1]. The popularity of Hadoop has made the system well known and widely supported. Thus as may be expected, the use of Hadoop for scientific data analysis has also been widely investigated[2][3]. Hadoop however, has several design choices that makes is less than optimal for scientific data processing. Most importantly...
Dr
Wojciech Potrzebowski
(European Spallation Source ERIC, Data Management and Software Center)
17/10/2016, 14:30
Oral Contribution
SasView is a well-established open source, collaboratively developed software for the analysis and the modeling of small angle scattering (SAS) data. The core functionality of SasView includes the fitting of model functions, pair-distance distribution function inversion and model-independent analysis. SasView provides a large collection of form and structure factors and with the recently...
Dr
Jacob Filik
(Diamond Light Source)
17/10/2016, 14:50
Mini Oral
DAWN is a free, multiplatform, open source, data analysis workbench built from the core mathematical and visualisation components of Diamond’s data acquisition software GDA (Generic Data Acquisition). Over the last few years, major new features have been added to DAWN to attempt to meet the diverse data processing requirements across the beamlines at Diamond, initially focusing on 2D powder...
Mads Kristensen
(Niels Bohr Institute, UCPH)
17/10/2016, 14:55
Mini Oral
The Bohrium runtime system exploits an array programming approach from a high-level
language to extract parallelism and accelerate execution on a variety of hardware setups. By presenting the user with an array programming abstraction, it is possible to extract a high level of parallelism without requiring the programmer to adjust the program to fit the current execution environment.
...
Dr
Jess Wellendorff
(QuantumWise A/S)
17/10/2016, 15:00
Mini Oral
The Virtual NanoLab (VNL) was initially developed as a Graphical User Interface (GUI) to QuantumWise’s atomic-scale simulation tools, the Atomistix ToolKit (ATK). In the last years the GUI has been transformed into a platform which through a number of open source plugins can be interfaced to almost any scientific simulation software. The software is now free for academic researchers.
In...
