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* Informatik-Kolloquium
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Zeit: Freitag, 5. Juli 2019, 11.30 Uhr
Ort: Informatikzentrum, E3, Raum 9007
Referent: Prof. Richard Fujimoto
Georgia Institute of Technology, Atlanta
Thema: Power Consumption in Parallel and Distributed Simulations
Abstract:
Energy and power consumption are important concerns for many computing
systems ranging from battery-powered embedded and mobile devices to
supercomputers and data centers. Although this issue has been
extensively studied at the hardware and operating system levels, thus
far only a limited amount of work has considered power consumption in
parallel and distributed simulations. This presentation addresses this
topic and discusses a variety of options to reduce power consumption.
Further, parallel and distributed discrete event simulations require a
synchronization algorithm to ensure the concurrent execution of the
program produces the same results as a sequential execution. The energy
consumed by synchronization algorithms for distributed simulation
programs is considered, and experimental data presented highlighting
that a significant portion of the energy consumed by distributed
simulations can be attributed to synchronization. The concept of zero
energy synchronization is introduced and techniques to reduce the energy
consumed by synchronization algorithms are presented and evaluated. The
presentation highlights that many open areas of research concerning
power and energy consumption of distributed simulations remain to be
explored.
Speaker Biography:
Richard Fujimoto is a Regents’ Professor in the School of Computational
Science and Engineering at the Georgia Institute of Technology. He
received the Ph.D. degree from the University of California at Berkeley
in 1983. He has been an active researcher in the parallel and
distributed simulation field since that time. He led the definition of
the time management services in the High Level Architecture for Modeling
and Simulation, IEEE standard 1516. His publications include seven award
winning papers and he has received the ACM Distinguished Contributions
in Modeling and Simulation Award. He has played various leadership roles
in a variety of modeling and simulation conferences, journals and other
activities. He was the founding chair of the School of Computational
Science and Engineering (CSE) at Georgia Tech and established it as an
academic unit devoted to the study of computer-based models of natural
and engineered systems. In that role he led the creation of the
interdisciplinary PhD and MS degree programs in CSE as well as two
undergraduate minors.
Es laden ein: die Dozentinnen und Dozenten der Informatik
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* Informatik-Oberseminar
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Zeit: Freitag, 5. Juli 2019, 15.00 Uhr
Ort: Informatikzentrum, E3, Raum 9007
Referent: Mirko Stoffers, M.Sc.
Lehrstuhl Informatik 4 (COMSYS)
Thema: Automated Optimization of Discrete Event Simulations
without Knowing the Model
Abstract:
Modeling and simulation is an essential element in the research and
development of new concepts and products in any domain. The demand for
the development of more and more complex systems drives the complexity
of the simulation models as well, which in turn urges the research of
methodologies to reduce the execution times down to a feasible amount.
We identified two major types of resources that can be exploited for
acceleration: On the one hand, multiple computing instances (e. g., CPU
cores) can be used to distribute the workload and perform independent
computations simultaneously. On the other hand, workload stemming from
redundant computations can be avoided altogether by exploiting the
presence of unused main memory to store intermediate results.
We observe that typically in the development cycle of products and
simulation models neither time and resources nor required expertise is
available to apply sophisticated runtime optimization manually. We
conclude that it is of utmost importance to investigate approaches to
speed up simulation automatically. The most prevalent challenge of
automating optimization is that, at the time of researching and
developing the acceleration concepts and tools, the model is not yet
available, and we need to assume that the model will not be implemented
for a specific optimization technique. Hence, our methodologies need to
be devised without the model at hand, which can only be used by the
finally implemented optimization tool at its runtime. In this talk, we
discuss how computer simulations can be automatically accelerated using
either of the two optimization potentials mentioned above (multiple
computing instances or available memory) without the model being
provided at the time of researching the concepts and developing the
tools. Finally, we discuss how by combining the two optimization vectors
the full power of both can be unleashed at the same time.
Es laden ein: die Dozentinnen und Dozenten der Informatik
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* Informatik-Oberseminar
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Zeit: Donnerstag, 27. Juni 2019, 9:30 Uhr
Ort: UMIC Research Centre, room 025, Mies-van-der-Rohe Strasse 15
Referent: Aljosa Osep, MSc., Lehrstuhl Informatik 8 (Computer Vision)
Thema: Vision-based Category-Agnostic Object Tracking for Mobile Robots and
Intelligent Vehicles
Abstract:
The majority of existing vision-based methods perform multi-object tracking
in the image domain. Yet, in mobile robotics and autonomous driving
scenarios, pixel-precise object localization and trajectory estimation in
3D space are of fundamental importance.
Furthermore, the leading paradigms for vision-based multi-object tracking
and trajectory prediction rely heavily on object detectors and effectively
limit tracking and motion prediction to a set of predefined classes, while
the set of object classes that appear in the real-world is unbounded.
In this talk I will present novel methods for vision-based,
category-agnostic multi-object tracking that overcome this limitation. The
Category-Agnostic Multi-Object Tracker (CAMOT) leverages recent
developments in the area of learning-based object proposal generation and
lifts image-based proposal estimates to 3D space in order to estimate
trajectories of arbitrary objects.
We further extend CAMOT for the task of video-object proposal generation
and demonstrate that by utilizing motion and parallax as consistency
filters, can robustly track known and unknown objects and mine large video
collections.
I will conclude my talk by demonstrating how such a video-object mining
approach can be used for video-object discovery and self-supervised object
detector learning.
Es laden ein: die Dozentinnen und Dozenten der Informatik
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* Informatik-Oberseminar
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Zeit: Donnerstag, 27. Juni 2019, 14.15 Uhr
Ort: UMIC Research Centre, room 025, Mies-van-der-Rohe Strasse 15
Referent: Prof. Dr. David Held, The Robotics Institute, Carnegie Mellon
University
Thema: Uncertainty-Aware Perceptual Robot Learning
Abstract:
Robot learning systems need to deal with perceptual uncertainty, due to a
variety of factors such as occlusions, sensor noise, small objects, limited
capacity models, and novel objects. We believe that perceptual systems
should be aware of their uncertainty and that decision-making algorithms
should incorporate such uncertainty.
We present three current directions for achieving this.
First, we present an object instance detection system that combines machine
learning with correspondence matching to verify the proposed detections and
reject uncertain detections.
Next, we show an approach for estimate a distribution over orientation
uncertainty by augmenting any deep pose estimation system.
Last, we present an approach for reinforcement learning with deformable
objects that does not assume access to the ground-truth state.
Together, these directions represent our current approach to dealing with
perceptual uncertainty in robot learning systems.
Es laden ein: die Dozentinnen und Dozenten der Informatik
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+**********************************************************************
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* Einladung
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* Informatik-Oberseminar
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Zeit: Dienstag, 2. Juli 2019, 11.30 Uhr
Ort: Seminarraum 9007, Gebäude E3, Ahornstr. 55
Referent: Torsten Zimmermann, M.Sc.
Lehrstuhl Informatik 4
Thema: Improving Content and Service Distribution beyond Infrastructure
Upgrades
Abstract:
The Internet has evolved into an essential platform for communication
and access to information. This manifests itself in the steadily growing
traffic due to rising user demands for content and services. However,
these demands put pressure on operators to constantly improve
performance and availability, e.g., by upgrading infrastructures.
Despite these efforts, there are limits to upgrades and their impact,
ranging from technical to economic aspects. To still achieve
improvements, research also focuses on other aspects of content and
service distribution, including protocol optimization, better
infrastructure utilization, and approaches to overcome limited
infrastructure support.
However, these optimizations can have unknown consequences in real-world
deployments. Even if protocols underwent a rigorous standardization
process, their adoption and impact are often unpredictable. The same
holds for approaches that support infrastructures, which face practical
challenges when deployed outside of testbeds, e.g., missing user
acceptance due to the lack of control. Overcoming these challenges is
relevant to achieve improvements beyond the current state-of-the-art
solutions.
In this talk, we approach the problem of how to provide improvements for
content and service distribution beyond infrastructure upgrades from the
aforesaid viewpoints: the deployment of a new protocol and the
applicability of supporting approaches. We provide the first large-scale
adoption study of HTTP/2, as the new standard protocol for the Web, and
especially focus on its promising new feature Server Push. Despite being
considered a key feature of HTTP/2, we observe that its use does not
always lead to improvements, but also to human-perceivable detrimental
effects, which we verified in a user study. Building on this, we further
inspect which factors influence performance and provide a novel strategy
for the use of this feature, which can lead to significant performance
improvements.
Focusing on how to support infrastructures, we present an approach that
enables roaming mobile users to connect to private Access Points, using
provider-assisted authentication and the creation of an on-demand single
purpose network. By that, we provide connectivity in case other
infrastructures, such as the cellular network, are temporarily not
available. Finally, we provide a brief outlook on how to realize
content distribution between devices with only limited infrastructure
support.
In summary, our contributions provide valuable insights and practical
technical solutions that complement infrastructure-based improvements.
Es laden ein: die Dozentinnen und Dozenten der Informatik