Annett Ungethüm

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To establish adequacy of urine collection times shorter than 24h in the metabolic monitoring of low birthweight infants, we collected urine for 24 h in 39 LBW infants during the third and fourth week of life. All urine voidings over the 24-h period were separately collected, the volume of each sampling and the time of voiding were recorded, and 20% of the(More)
Aside from performance, energy efficiency is an increasing challenge in database systems. To tackle both aspects in an integrated fashion, we pursue a hardware/software co-design approach. To fulfill the energy requirement from the hardware perspective, we utilize a low-energy processor design offering the possibility to us to place hundreds to millions of(More)
Energy awareness of database systems has emerged as a critical research topic, since energy consumption is becoming a major limiter for their scalability. Recent energy-related hardware developments trend towards offering more and more configuration opportunities for the software to control its own energy consumption. Existing research so far mainly focused(More)
Data processing on a continuously growing amount of information and the increasing power restrictions have become an ubiquitous challenge in our world today. Besides parallel computing, a promising approach to improve the energy efficiency of current systems is to integrate specialized hardware. This paper presents a Tensilica RISC processor extended with(More)
Energy awareness of database systems has emerged as a critical research topic, because energy consumption is becoming a major factor. Recent energy-related hardware developments tend towards offering more and more configuration opportunities for the software to control its own energy-based behavior. Existing research within the DB community so far mainly(More)
Many-core systems are increasingly used in real-time settings to meet the performance requirements of advanced applications such as the classification and tracking of dynamic objects for autonomous driving [1] or the generation of safe trajectories through rough terrain [2]. Task sets of these applications are often mixtures of short running, low latency(More)
Pattern matching on large graphs is the foundation for a variety of application domains. Strict latency requirements and continuously increasing graph sizes demand the usage of highly parallel in-memory graph processing engines that need to consider non-uniform memory access (NUMA) and concurrency issues to scale up on modern multiprocessor systems. To(More)
In this paper, we study the effects of compression on bitmap indexes. The main operations on the bitmaps during query processing are bitwise logical operations such as AND,OR,NOT, etc.Using the general purpose compression schemes, such as gzip, the logical operations on the compressed bitmaps are much slower than on the uncompressed bitmaps. Specialized(More)