Time and Date: 11:00 - 12:40 on 11th June 2014
Room: Bluewater I
Chair: Vassil Alexandrov
|153|| In Need of Partnerships – An Essay about the Collaboration between Computational Sciences and IT
Abstract: Computational Sciences (CS) are challenging in many aspects, not only from the scientific domain they address, but especially also from its needs of the most sophisticated IT infrastructures to perform their research. Often, the latest and most powerful supercomputers, high-performance networks and high-capacity data storages are utilized for CS, while being offered, developed and operated by experts outside CS. This standard service approach has certainly been useful for many domains, but more and more often it represents a limitation to the needs of CS and the restrictions of the IT services. The partnership initiative πCS established at the Leibniz Supercomputing Centre (LRZ) moves the collaboration between Computational Scientists and IT service providers to a new level, moving from a service-centered approach to an integrated partnership. The interface between them is a gateway to an improved collaboration between equal partners, such that future IT services address the requirements of CS in a better, optimized, and more efficient way. In addition, it sheds some light on future professional development.
|Anton Frank, Ferdinand Jamitzky, Helmut Satzger, Dieter Kranzlmüller|
|281|| Development of Multiplatform Adaptive Rendering Tools to Visualize Scientific Experiments [abstract]
Abstract: In this paper, we propose methods and tools for multiplatform adaptive visualization system development adequate to the specific visualization goals of the experiments in the different fields of science. Approach proposed was implemented and we present a client-server rendering system SciVi (Scientific Visualizer) which provides multiplatform portability and automated integration with different solvers based on ontology engineering methods. SciVi is developed in Perm State University to help scientists and researchers acquire the multidisciplinary skills and to solve real scientific problems.
|Konstantin Ryabinin, Svetlana Chuprina|
|296|| Education 2.0: Student Generated Learning Materials through Collaborative Work [abstract]
Abstract: In order to comply with the Integrated Learning Processes model a course on operating systems was redesigned in such a way that students would generate most of their learning materials as well a significant part of their evaluation exams. This new approach resulted in a statistical significant improvement of student’s grade as measured by a standardized exam compared with a previous student intake.
|Raul Ramirez-Velarde, Raul Perez-Cazares, Nia Alexandrov, Jose Jesus Garcia-Rueda|
|413|| Challenges of Big Data and the Skills Gap [abstract]
Abstract: At present, Big Data becomes reality that no one can ignore. Big Data is our environment whenever we need to make a decision. Big Data is a buzz word that makes everyone understands how important it is. Big Data shows a big opportunity for academia, industry and government. Big Data then is a big challenge for all parties. This talk will discuss some fundamental issues of Big Data problems, such as data heterogeneity vs. decision heterogeneity, data stream research and data-driven decision management. Furthermore, this talk will provide a number of real-life Bid Data Applications and will outline the challenges in bridging the skills gap in while focusing on Big Data.
|Yong Shi and Yingjie Tian|