ZIH-Colloquium

The ZIH colloquium is a public event and takes place on each 4th Thursday of the month at 15:00 o'clock in the room Willers-Bau A 317.
For additional or extraordinary events time and room are explicitly mentioned.

Next Colloquium

Additional colloquium: 13. July 2018, 15 Uhr, Großer Ratssaal, APB, Nöthnitzer Str. 46: Philip Maini (Wolfson Centre for Mathematical Biology, Oxford, Fellow of the Royal Society) "Modelling Collective Cell Motion in Biology and Medicine"
Collective cell motion is a common phenomenon in biology - both in normal development and in disease. I will review work that we have been doing on examples in both cases. I will show how, working with experimental colleagues, we have been able to advance knowledge in the biological understanding of cranial neural crest cell invasion, using a hybrid agent-based model. I will then consider the well-known snail-trail model in angiogenesis and show that a systematic derivation starting from a cell-level master equation leads to a coupled system of partial differential equations that are quite different to those in the literature.
Philip K. Maini FRS FMedSci is Director of the Wolfson Centre for Mathematical Biology, Mathematical Institute, Oxford, and Statutory Professor of Mathematical Biology. He was awarded the LMS Naylor Prize in 2009 and the SMB Winfree Prize in 2017.

Further Colloquia

Past Colloquia

Janis Keuper © ZIH Janis Keuper © ZIH
Janis Keuper

© ZIH

24. Mai 2018: Janis Keuper (Fraunhofer-Institut für Techno- und Wirtschaftsmathematik)  "Towards scalable Machine Learning" (slides)
This talk will discuss the challenges and recent progress towards the application of machine learning methods to very large and difficult learning problems. We will analyse, why building a scalable high performance learning system is such a difficult task and which theoretical and practical problems need to be solved a every level of a Machnie Learning System - from accelerator hardware designs, over HPC system IO and communication protocols up to software middle layers, mathematical foundations and distributed learning algorithms.
Janis Keuper leads the "Large Scale Machnine Learning" group at the Fraunhofer Competence Center for High Performance Computing and is a Principal Investigator at the Fraunhofer Center Machine Learning. His current research is focus on scalable machine learning systems, especially Deep Learning. Before joining ITWM in 2012, he was a Group Leader at the Intel Visual Computing Institute (Saarbrücken, Germany). Janis received his Masters and PhD degrees in Computer Science form the Albert-Ludwigs University in Freiburg and did his PostDoc training in the group of Prof. Bernd Jähne at the University of Heidelberg. Janis is the chair of the Deep Learning trac at the ISC Supercomputing 2018 conference and member of the organizing committee of the "Machine Learning in HPC" Workshop at the ACM Supercomputing 18 conference. Publications: https://scholar.google.de/citations?hl=de&user=BUkDvU0AAAAJ&view_op=list_works

Thomas Steinke © ZIH Thomas Steinke © ZIH
Thomas Steinke

© ZIH

26. April 2018: Attention - different time 12:00 - Thomas Steinke (Zuse Institut Berlin) "Application Performance on Many-Core Platforms" (slides)
We will give an overview of research projects of our department and present recent results of our activities within the Intel Parallel Computing Center (IPCC) at ZIB and related projects. The overall theme is our interest to achieve optimal applications performance on HPC platforms. We discuss the associated challenges to achieve an efficient use of the compute resources and our approaches for improving the performance of scientific workloads.
Thomas Steinke heads the Supercomputing dept. at ZIB. He received his Doctorate in 1990 from the Humboldt-Universität zu Berlin working in the field of theoretical chemistry. His research interest is in HPC, heterogeneous systems, and state-of-the-art simulation methods. Thomas leads the IPCC at ZIB since 2013 and was co-founder of OpenFPGA in 2004.

Carsten Weinhold © ZIH Carsten Weinhold © ZIH
Carsten Weinhold

© ZIH

29. March 2018:  Carsten Weinhold (TU Dresden, Professur für Betriebssysteme) "FFMK: A Fast and Fault-tolerant Microkernel-based Operating System for Exascale Computing" (slides)
The FFMK project designs, builds, and evaluates a system-software architecture to address the challenges expected for Exascale systems. These include runtime variability within applications, hardware performance variation, and operating system noise. Our operating system combines a small L4 microkernel to provide a low-noise execution environment and a full-blown general purpose operating system (Linux) for compatibility with existing HPC codes. The architecture is complemented by decentralized system management and checkpointing components. The talk will give an overview of the project, research done by the individual partners (including TU Dresden's operating systems group and ZIH), and how HPC systems at ZIH are used in the project, ranging from studying application behavior all the way down to bare-metal runs of an experimental operating system on Atlas and Taurus nodes."
Dr.-Ing. Carsten Weinhold is a member of the operating systems group at TU Dresden. His research started in microkernel-based operating systems and security architectures. In 2014, he defended his doctoral thesis on re-architecting a file system stack so as to isolate and better protect its security-critical functionality. He now applies the underlying idea of split code bases to HPC to ensure performance isolation and to reduce latency.

Linux Schuhmacher © ZIH Linux Schuhmacher © ZIH
Linux Schuhmacher

© ZIH

22. February 2018: Linus Schumacher (Biological Physics, Imperial College London) "Collective feeding in worms: Quantitative phenotyping and modelling identifies behavioral rules underlying aggregation in C. elegans"
Collective behaviour is a hallmark of complex living systems. Often studied in groups of large animals or small cells, it less well understood at the mesoscopic scale. We investigate collective feeding of the nematode C. elegans, known for its easy genetic manipulation and stereotypic, yet complex behaviour. In this system, small genetic perturbations can lead to strikingly different population-level behaviours. We quantify behavioural differences between the „solitary“ lab strain and a „social“ aggregating mutant. To understand the mechanism of aggregation, we draw on concepts from motility-induced phase transitions and agent-based modelling. Finally, we investigate the potential benefits of collective feeding in an attempt to explain the predominance of aggregating strains in the wild.
Short CV:
Ba & Msci in Natural Sciences, Cambridge
PhD with Ruth Baker and Philip Maini in Mathematical Biology, Oxford
Thesis on mathematical models of collective cell migration in developmental biology
Currently postdoc in Biological Physics and Imperial College London, working with Robert Endres and Andre Brown
This summer starting Chancellor’s Fellowship at University of Edinburgh

Philip Mucci © Philip Mucci Philip Mucci © Philip Mucci

Philip Mucci

Philip Mucci

Philip Mucci © Philip Mucci

25. Januar 2018: Philip Mucci (University of Tennessee) "An Evolution of the Data Center"
This talk is intended to be an entertaining and thought-provoking look into the future of the data center. Whether running on premise or in the cloud, increases in both scale and complexity negatively affect productivity and return on investment. The availability and affordability of expertise continues to decrease. Technology adoption cycles are shrinking while the numbers of users and service platforms are growing. Roles and responsibilities have remained largely unchanged since the 1970’s, as have reporting and accounting procedures. While the technology has evolved, our collective ability to maximize data center assets has not. In this talk, we will explore how one might sustainably mitigate these factors with software design. In doing so, we will draw lessons from process management, business intelligence, data analytics, machine learning, continuous integration and human behavior and applying them to specific roles. Our ultimate goal being a data center operation that is perfectly incentivized; with technology-enabled personnel driving year over year increases in productivity and return on investment.
Philip is best known as the inventor of the Performance Application Programming Interface (PAPI), an application-centric, performance monitoring middleware, in use globally since late 1990’s. He has held varied roles in industry, including director of engineering, software architect, business developer, strategic advisor. He is the founder of Minimal Metrics, a technology and strategy provider for highly efficient systems. In addition to being an active board member for a number of organizations, he holds a part-time research position at the University of Tennessee under Dr. Jack Dongarra.

past years

History 2017
History 2016
History 2014/2015
History 2013
History 2012
History 2011 
History 2010

History 2009
History 2008
History 1998 - 2007

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Last modified: Jun 18, 2018