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Prof. Achim Streit (KIT)8/28/17, 2:00 PM
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Dr Manuel Giffels (Karlsruhe Institute of Technology)8/28/17, 2:30 PM
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Dario Mapelli (WikiToLearn)8/28/17, 2:50 PMWikiToLearn 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.Go to contribution page
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Dr Benedikt Hegner (CERN)8/28/17, 4:00 PM
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Dr Mohammed Khafagy (Fayoum University)8/28/17, 4:40 PMThe 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.Go to contribution page
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Dr Alexander Schug8/28/17, 5:20 PMMethods based on statistical analysis of large sets of data have led to groundbreaking discoveries in diverse scientific fields. These range from physics by explaining phenomenological results to applications in chemistry, the life sciences but also in, e.g., social sciences or economics. In the past two decades, as one of the results of the human genome project, sequential genomic data has...Go to contribution page
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Dr Ewan Barr (University of Bonn)8/30/17, 9:00 AMJames 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,...Go to contribution page
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Jens Reinhardt (HTW)8/30/17, 9:40 AMThe 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.Go to contribution page
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Dr Peer Hasselmeyer (NEC)8/30/17, 10:40 AMCloud federation is receiving increasing attention due to the benefits of resilience and locality it brings to cloud providers and users. I present an approach to cloud network federation based on direct cloud-to-cloud agreements. The solution uses multi-path proxies able to utilize the multiple uplinks cloud data centers typically have. Bandwidth of interconnection and resilience are improved...Go to contribution page
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Johannes Scheuermann (Inovex GmbH)8/30/17, 11:20 AM2014 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...Go to contribution page
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Julia Stoll (Der Hessische Datenschutzbeauftragte)8/31/17, 9:00 AM
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Dr Sebastien Binet (LPC)8/31/17, 9:40 AM
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Dr Graeme Stewart (University of Glasgow)8/31/17, 10:40 AMModern 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....Go to contribution page
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Dr Andreas Herten (FZ Jülich)8/31/17, 11:20 AMGPUs, 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...Go to contribution page
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Timo Bingmann (KIT)9/1/17, 9:00 AMWe present on-going work on a new distributed Big Data processing framework called Thrill. It is a C++ framework consisting of a set of basic scalable algorithmic primitives like mapping, reducing, sorting, merging, joining, and additional MPI-like collectives. This set of primitives goes beyond traditional Map/Reduce and can be combined into larger more complex algorithms, such as...Go to contribution page
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Prof. Morris Riedel (FZ Jülich)9/1/17, 9:40 AMDeep 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...Go to contribution page
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Bernd Wiebelt (University of Freiburg)9/1/17, 10:40 AM
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Dr Manuel Giffels (Karlsruhe Institute of Technology)9/1/17, 11:20 AM
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