Fall School on Efficient Architectures for Data Science (EADS 2017)

Announcement

This page contains the slides of the talks only. For details about the event itself, please see the announcement page of EADS 2017.

Slides of Talks

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Monday - 18.09.2017

• Prof. Dr. Andreas Polze Opening EADS 2017
• Prof. Dr. Felix Naumann Big Data Science
• Christian Bartz End-to-End Detection and Recognition Systems for Computer Vision
• Tim Repke Analysing Business Communication
• Bernhard Rabe HPI Future SOC Lab Insights
• Frank Feinbube EADS 2017 Challenge Details

Tuesday - 19.09.2017

• Thomas Jakobs Optimizations for the Future: Energy and Power Efficiency
• Sven Köhler Parallel Programming with the Message Passing Interface (MPI)
• Felix Eberhardt Optimization Guidelines for NUMA Architectures
• Max Plauth A crash course on (C-)CUDA programming for (mul8) GPU

Wednesday - 20.09.2017

• Laura Morgenstern Towards a NUMA-aware Task-based Fast Multipole Method
• Kate Hofmann A Framework for Evaluation of Computational Cognition
• Cristian Camilo Castellanos BDA ArchOps: An Executable Architectural Model for Big Data Analytics
• Sedigheh Eslami Privacy for Data Science: The Trade-off Between Privacy and Utility
• Paul Opuchlich Data Science for Intrusion Detection Systems
• Dr. Rainer Kerth SAP Leonardo ML Foundation: Overview of SAP's Platform for Machine Learning
• Megha Agarwal Agile Data Science
• Dr. Fritz Schinkel Machine Learning for Big Data Analysis
• Frank Feinbube Challenge Updates

Friday - 22.09.2017

• Team 1 Final Presentation
• Team 2 Final Presentation
• Team 3 Final Presentation
• Team 4 Final Presentation
• Team 5 Final Presentation
• Team 6 Final Presentation
• Frank Feinbube Ranking & Award Ceremony
• Source code of all teams: Git Bundle, Instructions