2021-04-01 Christian Dietrich becomes Juniorprofessor at TUHH!

After many fruitful years with dozen of papers, great lectures and a lot of fun together, Christian Dietrich leaves our group to start his Juniorprofessorship (W1-TT-W3) with a new operating system group at TUHH. We will continue our work together, nevertheless miss him a lot, and wholeheartedly congratulate Prof. Dr.-Ing. Christian Dietrich for this great step in his career!

2021-03-12 Christian Dietrich Receives GI/ITG-FGBS Award for Best Doctoral Thesis

Christian Dietrich receives an award for the best doctoral thesis in the field of operating systems. The award is granted annually by the SIG on Operating Systems of the German Computer Assiciation (GI Fachgruppe Betriebssysteme) solely on the base of scientific excellence. It includes a price money of 500 €. Congrats, Christian!

In his dissertation Interaction-Aware Analysis and Optimization of Real-Time Application and Operating System, Christian designs and implements a control-flow--sensitive whole-system view and analysis on the interactions within real-time systems. With this approach, he can overcome many inefficiencies that arise from analyses that have an isolating focus on individual system components. Furthermore, the interaction-aware methods keep close to the actual implementation, and therefore are able to consider the behavioral patterns of the finally deployed real-time computing system.

2020-11-05 Waitfree Patching at OSDI '20

Florian Rommel presents our paper From Global to Local Quiescence: Wait-Free Code Patching of Multi-Threaded Processes at OSDI '20 – due to Corona by video.

In the paper, we present WfPatch, a wait-free approach to inject code changes into running multi-threaded programs. Instead of having to stop the world before applying a patch, WfPatch can gradually apply it to each thread individually at a local point of quiescence, while all other threads can make uninterrupted progress.

WfPatch is the first outcome of our novel concept on adaptable thread-level address spaces, which we are investigating in the ATLAS project.

2019-11-21 Tobias Landsberg Receives GI-FGBS Award for Best Master Thesis

Tobias Landsberg receives the award for best master thesis in the field of operating systems. The award is granted annually by the SIG on Operating Systems of the German Computer Assiciation (GI Fachgruppe Betriebssysteme) solely on the base of scientific excellence. It includes a price money of 500 €. Congrats, Tobias!

In his thesis Analyzing and Optimizing TLB-Induced Thread Migration Costs on Linux/ARM Tobias evaluates if it is feasable and benefitial to pre-warm the TLB (Translation Look-Aside Buffer) when a thread is migrated to another core. He analyzes existing ARM cores, presents and evaluates possible hardware extensions in gem5 and and provides a complete Linux integration for the system.

2019-11-13 PhD Defense: Christian Dietrich - Interaction-Aware Analysis and Optimization of Real-Time Application and Operating System
Christian Dietrich successfully defends his PhD Thesis Interaction-Aware Analysis and Optimization of Real-Time Application and Operating System. Congrats, Christian!

Abstract: Mechanical and electronic automation was a key component of the technological advances in the last two hundred years. With the use of special-purpose machines, manual labor was replaced by mechanical motion, leaving workers with the operation of these machines, before also this task was conquered by embedded control systems. With the advances of general-purpose computing, the development of these control systems shifted more and more from a problem-specific one to a one-size-fits-all mentality as the trade-off between per-instance overheads and development costs was in favor of flexible and reusable implementations. However, with a scaling factor of thousands, if not millions, of deployed devices, overheads and inefficiencies accumulate; calling for a higher degree of specialization.

For the area of real-time operating systems, which form the base layer for many of these computerized control systems, we deploy way more flexibility than what is actually required for the applications that run on top of it. Since only the solution, but not the problem, became less specific to the control problem at hand, we have the chance to cut away inefficiencies, improve on system-analyses results, and optimize the resource consumption. However, such a tailoring will only be favorable if it can be performed without much developer interaction and in an automated fashion. Here, real-time systems are a good starting point, since we already have to have a large degree of static knowledge in order to guarantee their timeliness. Until now, this static nature is not exploited to its full extent and optimization potentials are left unused.

The requirements of a system, with regard to the RTOS, manifest in the interactions between the application and the kernel. Threads request resources from the RTOS, which in return determines and enforces a scheduling order that will ensure the timely completion of all necessary computations. Since the RTOS runs only in the exception, its reaction to requests from the application (or from the environment) is its defining feature.

In this thesis, I will grasp these interactions, and thereby the required RTOS semantic, in a control-flow--sensitive fashion. Extracted automatically, this knowledge about the reciprocal influence allows me to fit the implementation of a system closer to its actual requirements. The result is a system that is not only in its usage a special-purpose system, but also in its implementation and in its provided guarantees.

In the development of my approach, it became clear that the focus on these interactions is not only highly fruitful for the optimization of a system, but also for its end-to-end analysis. Therefore, this thesis does not only provide methods to reduce the kernel-execution overhead and a system's memory consumption, but it also includes methods to calculate tighter response-time bounds and to give guarantees about the correct behavior of the kernel. All these contributions are enabled by my proposed interaction-aware methodology that takes the whole system, RTOS and application, into account.

With this thesis, I show that a control-flow--sensitive whole-system view on the interactions is feasible and highly rewarding. With this approach, we can overcome many inefficiencies that arise from analyses that have an isolating focus on individual system components. Furthermore, the interaction-aware methods keep close to the actual implementation, and therefore are able to consider the behavioral patterns of the finally deployed real-time computing system.

2019-09-23 Disputation von Dr.-Ing. Romeo Shuka - Parallele adaptive Schwarmsuche für Blackbox-Probleme
Romeo Shuka hat am seine Dissertation Parallele adaptive Schwarmsuche für Blackbox-Probleme erfolgreich verteidigt. Wir gratulieren!

Abstract: In der heutigen Wissenschaft und Wirtschaft haben wir es oft mit Systemen zu tun, welche aus Problemen bestehen, die sehr komplex und nicht einfach zu lösen sind. Aufgrund der zunehmenden Komplexität und der teilweise fehlenden Informationen ist es bereits heutzutage nicht mehr möglich, solche Probleme – welche als Blackbox-Probleme klassifiziert werden – per Hand zu lösen. Um das Maximum oder Minimum zu finden, wird auf Optimierungsmethoden zurückgegriffen, die uns ermöglichen, eine optimale Lösung für das Problem zu suchen und ggf. zu finden. Stochastische Methoden haben die letzten Jahre gezeigt, dass sie sehr gut geeignet sind, solche Probleme zu lösen. Der Vorteil der Verwendung von stochastischen Methoden ist, dass sie nicht den Gradienten des zu optimierenden Problems verwenden, so dass sie sowohl bei großen als auch bei komplexen Optimierungsproblemen erfolgreich angewendet werden können. Diese Vielseitigkeit hat aber ihren Preis. Es gibt hauptsächlich drei wesentliche Aspekte, die die Effizienz der Lösung beeinträchtigen:
  1. Die realen Probleme werden immer größer und komplizierter oder sie müssen in sehr kurzer Zeit gelöst werden, was erhebliche Ressourcen in Zeit und Hardware erfordert.
  2. Optimierungsprobleme sind durch mehrere lokale Optima charakterisiert, die ein Verfahren zur Vermeidung einer zu frühen Konvergenz erfordern.
  3. Algorithmen erfordern einige problembedingte Anpassungen ihrer Verhaltensparameter, um bessere Ergebnisse zu erzielen.
In dieser Arbeit wird ein Framework (Parallel Adaptive Swarm Search - PASS) vorgestellt, das die Ermittlung der möglichst optimalen Lösung für Black-box Probleme gewährleistet. Durch das Framework kann der Nutzer eine Mapping des Algorithmus an die vorhandene Hardware und Software (Problemart) realisieren. Es werden alle drei oben genannten Probleme behandelt. Das Problem der Parallelisierung wird durch die Umwandlung des Algorithmus von seriell zu parallel gelöst. Das Problem des Stillstands wird durch das Benutzen des Island Models behandelt und für das Problem der Adaptivität wird ein neuer Suchalgorithmus vorgestellt, welcher die Suche der optimalen Parameter beschleunigt. In dieser Arbeit wird PASS mit bekannten Verfahren aus der Literatur (wie z.B. Particle Swarm Optimization, Differential Evolution, Artificial Bee Colony usw.) mit unterschiedlichen Benchmark-Problemen verglichen. Die erste Gruppe der Benchmark-Probleme besteht aus synthetischen Funktionen bekannt aus der Literatur (wie z.B. Rastrigin Funktion, Rosenbrock Funktion) und die zweite Gruppe besteht aus Problemen aus der realen Welt.
Untersuchungen in dieser Arbeit haben gezeigt, dass die Anpassungen zu besse ren Ergebnissen führen. Durch die adaptive Natur des Frameworks, ist es in vielen Rechnerarchitekturen nutzbar und für viele Probleme anwendbar.
2018-11-26 Inaugural Lecture

Prof. Dr.-Ing. habil. Daniel Lohmann gave his inaugural lecture at the Faculty of Electrical Engineering and Computer Science. In his presentation "Klein und sicher – Automatisch anpassbare Systemsoftware für eingebettete Spezialzweckanwendungen", Prof. Lohmann provided an entertaining introduction into our research activities and the case for highly tailorable system software.

2018-07-03 Best Paper: Levels of Specialization in Real-Time Operating Systems at OSPERT '18

Björn Fiedler presents our paper Levels of Specialization in Real-Time Operating Systems was at the 14th Workshop on Operating System Platforms for Embedded Real-Time Applications (OSPERT '18), in Barcelona. In the paper we describe a taxonomy for the specialization of system software towards a specific application and provide showcases of the achievable benefits. We got an Best Paper Award for this work.

2018-04-01 Verabschiedung von Prof. Dr.-Ing. Christian Müller-Schloer
Nach einer langen und erfolgreichen akademischen Karriere verabschiedet sich der bisherige Leiter des Fachgebietes System- und Rechnerarchitektur, Herr Prof. Dr.-Ing. Christian Müller-Schloer, zum 1. April 2018 in den wohlverdienten Ruhestand. Nach Studium und Promotion an der Technischen Universität München arbeitete Prof. Müller-Schloer bei den Siemens Corporate Research Labartories. Im Jahr 1991 erhielt er den Ruf an die Leibniz Universität Hannover und gründete den heutigen Fachbereich System- und Rechnerarchitektur, der zunächst unter dem Namen "Institut für Rechnerstrukturen und Betriebssysteme" firmierte und die Entstehung und Entwicklung der Informatik an der Leibniz Universität Hannover maßgeblich prägte. Neben seinem hohen Einsatz für die Informatik in Hannover über viele Jahre hinweg, begründete und prägte Prof. Christian Müller-Schloer das Forschungsgebiet des Organic Computing. Der Fachbereich System- und Rechnerarchitektur verabschiedet sich von seinem langjährigen Leiter und bedankt sich für viele Jahre interessanter Diskussionen, gemeinsam errungenener Erkenntnisse und schöner Erlebnisse.
2017-11-21 New DFG Grant: Automated Hardware Abstraction in Operating-System Engineering
AHA: Automated Hardware Abstraction in Operating-System Engineering (DFG: LO 1719/4-1)
Goal of AHA is to improve nonfunctional properties of system software by a very deep, but fully automated specialization of the application-hardware bridge represented by the operating system. We investigate, how alternative implementations that are mapped more directly to hardware features, can be generated from a concrete application and their actual interactions with the operating system.
The German research foundation DFG is now supporting our AHA project for three years with two positions for doctoral researchers (E13), two positions for student researchers, and some additional lab equippment.
2017-07-13 Best Paper: cHash at USENIX ATC 2017
Christian Dietrich presents our paper cHash: Detection of Redundant Compilations via AST Hashing at the USENIX ATC 2017 conference. In the paper we describe a new approach to quickly decide which files really need to be recompiled after some change to the source code. We got an Best Paper Award for this work.
2017-04-18 Outstanding Paper: SysWCET at RTAS 2017
Christian Dietrich presented the paper SysWCET: Whole-System Response-Time Analysis for Fixed-Priority Real-Time Systems at the 2017 IEEE Real-Time and Embedded Technology and Applications Symposium in Pittsburgh. We got an Outstanding Paper Award for this work.
2016-11-16 Preis für gute Lehre des Freistaates Bayern
Daniel Lohmann wird von Staatsminister Dr. Ludwig Spaenle „in Würdigung seiner Vorbildfunktion mit dem Preis für gute Lehre 2015 des Freistaats Bayern“ ausgezeichnet. Der mit 5000 EUR dotierte Preis wird jährlich an 15 herausragende Wissenschaftlerinnen und Wissenschaftler vergeben.

Die Kriterien für die Auszeichnung sind eine herausragende Lehrleistung über die Dauer von wenigstens zwei Studienjahren an einer Universität in Bayern, eine Beteiligung der Studierenden an der Auswahl sowie der Vorschlag der jeweiligen Universität. Über alle Maßnahmen zur Sicherung der Qualität der Lehre, die von den Hochschulen praktiziert werden, spielen das persönliche Engagement und die pädagogisch-didaktischen Kompetenzen des Lehrenden eine große Rolle.