Dario Mapelli
(WikiToLearn)
8/28/17, 2:50 PM
WikiToLearn is a platform for the collaborative creation of textbooks, which are released with the CC-BY-SA license. The talk will cover the main characteristics of the platform and how to add, edit and organise content it into a textbook.
Dr
Mohammed Khafagy
(Fayoum University)
8/28/17, 4:40 PM
The Beeswax tool can improve and optimize the storing and processing Big Data in HIVE using a set of modules that concern with 1-Translate advanced SQL queries to HIVEQL 2- Optimizing Multi-JOIN query in Map-Reduce jobs 3-reducing recourse consumption by avoiding long shuffling time 4- Reuse intermediate results, 5- concerns about Multi-Query Optimization.
Dr
Ewan Barr
(University of Bonn)
8/30/17, 9:00 AM
James Clerk Maxwell once wrote: “In every branch of knowledge the progress is proportional to the amount of facts on which to build, and therefore to the facility of obtaining data”. This maxim is particularly true in astronomy, where to probe deeper into the Universe we must continually seek to build more powerful telescopes that produce ever more data. In the case of radio astronomy,...
Jens Reinhardt
(HTW)
8/30/17, 9:40 AM
The presentation gives an overview of the historical development of Augmented Reality. The focus is on different technologies for the development of AR applications. Based on example applications from different areas, the presentation will show in which areas AR is already successfully used and how AR can change the digital world.
Johannes Scheuermann
(Inovex GmbH)
8/30/17, 11:20 AM
2014 Google open sourced the Kubernetes project, a container orchestration platform, to simplify container scheduling and orchestration.
Kubernetes is built with the knowledge of Borg (the internal scheduler at Google) and Omega. Kubernetes allows an easy extension for custom use cases on top of a sold API-based platform. Two years ago the Kubernetes release 1.0 was published by Google. Since...
Julia Stoll
(Der Hessische Datenschutzbeauftragte)
8/31/17, 9:00 AM
Dr
Graeme Stewart
(University of Glasgow)
8/31/17, 10:40 AM
Modern CPU architectures for scientific computing are characterised by
having multiple CPU cores and wide vector registers. Effective use of
these features requires different design patterns from those that ran
on the single core systems of the past. Instead of serial processing,
parallel processing needs to be at the heart of the new model, with
many operations proceeding concurrently....
Dr
Andreas Herten
(FZ Jülich)
8/31/17, 11:20 AM
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform for massively parallel computing. They have the ability to greatly increase the performance of scientific applications on a single workstation computer; and they also power the fastest supercomputers in the world. This talk will give an overview about the specifics of GPU computing and the...
Prof.
Morris Riedel
(FZ Jülich)
9/1/17, 9:40 AM
Deep learning models like convolutional neural networks (CNNs) deliver highly accurate results in classification tasks but require large enough data sets and good corresponding labels. However, one key problem in science and engineering is that data sets unfortunately have often only limited labeled data. Using CNNs together with such data sets can be problematic because it can lead to...
