Michael Kluge
A5077568309- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Parallel Computing and Optimization Techniques
- Cloud Computing and Resource Management
- Algorithms and Data Compression
- Adaptive optics and wavefront sensing
- Peer-to-Peer Network Technologies
- Heat Transfer and Optimization
- Heat Transfer Mechanisms
- Scientific Computing and Data Management
- Fluid Dynamics and Turbulent Flows
- Genomics and Phylogenetic Studies
- Astronomy and Astrophysical Research
- Caching and Content Delivery
- Business Process Modeling and Analysis
- Interconnection Networks and Systems
- Advanced Optical Network Technologies
- Astronomical Observations and Instrumentation
- Advanced Memory and Neural Computing
- Software System Performance and Reliability
- Machine Learning in Bioinformatics
- BIM and Construction Integration
- Astrophysical Phenomena and Observations
- Computational Physics and Python Applications
- Technology and Data Analysis
TU Dresden
2005-2023
Helmholtz Zentrum München
2017
Institute of Bioinformatics and Systems Biology
2017
Technical University of Munich
2014
The prediction of protein sub-cellular localization is an important step toward elucidating function. For each query sequence, LocTree2 applies machine learning (profile kernel SVM) to predict the native in 18 classes for eukaryotes, six bacteria and three archaea. method outputs a score that reflects reliability prediction. has performed on par with or better than any other state-of-the-art method. Here, we report availability LocTree3 as public web server. server includes learning-based...
As part of the Euclid Early Release Observations (ERO) programme, we analyse deep, wide-field imaging from VIS and NISP instruments two Milky Way globular clusters (GCs), namely NGC 6254 (M10) 6397, to look for observational evidence their dynamical interaction with Way. We search such an in form structural morphological features clusters' outermost regions, which are suggestive development tidal tails on scales larger than those sampled by ERO programme. Our multi-band photometric analysis...
Core ellipticals, which are massive early-type galaxies with almost constant inner surface brightness profiles, the result of dry mergers. During these events, a binary black hole (BBH) is formed, destroying original cuspy central regions merging objects and scattering stars that not on tangential orbits. The size emerging core correlates mass finally merged (BH). Therefore, determination provides key insights only into hole, but also origin evolution objects. In this work, we report first...
The task of performance analysis and optimization grows more challenging with the increasing scale complexity large computing systems. need for a holistic system becomes apparent when traditional approaches do not collect information that is required to investigate penalties caused by shared resources. We have developed distributed approach able process data from call our software implementation this Dataheap integrated it program tracing facility. In paper we describe needs driven...
Digital instruments and simulations are creating an ever-increasing amount of data. The need for institutions to acquire these data transfer them analysis, visualization, archiving is growing as well. In parallel, networking technology evolving, but at a much slower rate than our ability create store Single fiber 100 Gbps solutions have recently been deployed national infrastructure. This article describes experiences with movement video conferencing across testbed, using the first...
Analysis of Next Generation Sequencing (NGS) data requires the processing large datasets by chaining various tools with complex input and output formats. In order to automate analysis, we propose standardize NGS tasks into modular workflows. This simplifies reliable handling data, corresponding solutions become substantially more reproducible easier maintain. Here, present a documented, linux-based, toolbox 42 modules that are combined construct workflows facilitating variety such as DNAseq...
Understanding performance of modern system architectures is an always present and challenging task. BenchIT - a new tool to support the collection presentation such measurement data developed by Center for High Performance Computing Dresden.
This paper presents a search for high redshift galaxies from the Euclid Early Release Observations program `Magnifying Lens.' The 1.5\,$ area covered by twin Abell lensing cluster fields is comparable in size to few other deep near-infrared surveys such as COSMOS, and so provides an opportunity significantly increase known samples of rare UV-bright at $z UV Beyond their still uncertain role reionisation, these are ideal laboratories which study galaxy formation constrain bright-end...
For systems executing a mixture of different data intensive applications in parallel there is always the question about impact that each application has on storage subsystem. From perspective storage, I/O typically anonymous as it does not contain user identifiers or similar information. This paper focuses analysis performance collected shared system components like global file can be mapped back to activities immediately. Our approach classifies jobs based their properties into classes and...
Modern HPC systems are constructed by placing more and cores in a single machine. To utilize this kind of machines efficiently, many parallel processes have to be used. The performance analysis massively program runs becomes complicated as the number events that generated while is traced grows linearly with processes. In order large applications execute I/O requests parallel. Analyzing these optimizing part requires deep knowledge all issued dependencies between requests. Traditional tracing...