Dieter Kranzlmüller

Ludwig-Maximilians-Universität München (LMU) · MNM-Team

Load imbalance is often a challenge for applications in parallel systems. Static cost models and pre-partitioning algorithms distribute the load at the beginning. Nevertheless, dynamic changes during execution or inaccurate cost indicators may lead to imbalance at runtime. Reactive work-stealing strategies can help monitor the execution and perform...

Social interactions increasingly shift to computer-mediated communication channels. Compared to face-to-face communication, their use suffers from a loss or distortion in the transmission of social signals, which are prerequisites of social interactions. Social virtual reality platforms offer users a variety of possibilities to express themselves v...

Optical sensors can capture dynamic environments and derive depth information in near real-time. The quality of these digital reconstructions is determined by factors like illumination, surface and texture conditions, sensing speed and other sensor characteristics as well as the sensor-object relations. Improvements can be obtained by using dynamic...

Optical sensors can capture dynamic environments and derive depth information in near real-time. The quality of these digital reconstructions is determined by factors like illumination, surface and texture conditions, sensing speed and other sensor characteristics as well as the sensor-object relations. Improvements can be obtained by using dynamic...

Many modern autonomous systems use disparity maps for recognition and interpretation of their environment. The depth information of these disparity maps can be utilised for point cloud generation. Real-time and high-quality processing of point clouds is necessary for reliable detection of safety-relevant issues such as barriers or obstacles in road...

Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI. In a nutshell, we envision Edge AI to provide adaptation for data-driven applications, enhance network and radio access, and allow the creation, optimization,...

The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottleneck screening the vast number of potential small molecules to shortlist lead compounds for antiviral drug development. New opportunities to accelerate drug discovery lie...

Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI. In a nutshell, we envision Edge AI to provide adaptation for data-driven applications, enhance network and radio access, and allow the creation, optimization,...

PRACE (Partnership for Advanced Computing in Europe), an international not-for-profit association that brings together the five largest European supercomputing centers and involves 26 European countries, has allocated more than half a billion core hours to computer simulations to fight the COVID-19 pandemic. Alongside experiments, these simulations...

Distance learning in form of video chats or the streaming of recorded lectures are common ways for schools and universities to maintain teaching under the restrictions of the global SARS-CoV-2 pandemic. One possibility to improve distance learning can be the use of virtual reality (VR). To this day there are no common guidelines for educators for u...

Electroencephalography (EEG) has become a widely used non-invasive measurement method for brain-computer interfaces (BCI). Hybrid BCI (hBCI) additionally incorporate other physiological indicators, also called bio-signals, in order to improve the decryption of brain signals evaluating a variety of different sensor data. Although significant progres...

Recent advances in High-Level Synthesis (HLS) allow software developers to offload compute kernels to FPGAs without deep knowledge about low-level hardware description languages. However, this abstraction comes at the cost of control over the bitstream and thus complicates features like partial reconfiguration. We introduce a vendor-agnostic high-l...

The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottleneck screening the vast number of potential small molecules to shortlist lead compounds for antiviral drug development. New opportunities to accelerate drug discovery lie...

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 fu...

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 fu...

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 fu...

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 fu...

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 fu...

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 fu...

Based on depth perception of individual stereo cameras, spatial structures can be derived as point clouds. Thequality of such three-dimensional data is technically restricted by sensor limitations, latency of recording, andinsufficient object reconstructions caused by surface illustration. Additionally external physical effects likelighting conditi...

Based on depth perception of individual stereo cameras, spatial structures can be derived as point clouds. The quality of such three-dimensional data is technically restricted by sensor limitations, latency of recording, and insufficient object reconstructions caused by surface illustration. Additionally external physical effects like lighting cond...

The drug discovery process currently employed in the pharmaceutical industry typically requires about 10 years and $2-3 billion to deliver one new drug. This is both too expensive and too slow, especially in emergencies like the COVID-19 pandemic. In silicomethodologies need to be improved to better select lead compounds that can proceed to later s...

Sophisticated infrastructures often exhibit misbehaviour and failures resulting from complex interactions of their constituent subsystems. Such infrastructures use alarms, event and fault information, which is recorded to help diagnose and repair failure conditions by operations experts. This data can be analysed using explainable artificial intell...

The upcoming exascale era will push the changes in computing architecture from classical CPU-based systems towards hybrid GPU-heavy systems with much higher levels of complexity. While such clusters are expected to improve the performance of certain optimized HPC applications, it will also increase the difficulties for those users who have yet to a...

Many interesting use cases of research data classifiers presuppose that a research data item can be mapped to more than one field of study, but for such classification mechanisms, reproducible evaluations are lacking. This paper closes this gap: It describes the creation of a training and evaluation set comprised of labeled metadata, evaluates seve...

Modern HPC and cloud data centers, being mission critical facilities, continue to grow in size and number as the amount of Internet and cloud-based services increases. Moreover, the recent hype in the usage of machine learning based technologies, requiring appropriate infrastructures for data storage and computational power, further pushes the need...

The upcoming exascale era will push the changes in computing architecture from classical CPU-based systems in hybrid GPU-heavy systems with much higher levels of complexity. While such clusters are expected to improve the performance of certain optimized HPC applications, it will also increase the difficulties for those users who have yet to adapt...

Automated classification of metadata of research data by their discipline(s) of research can be used in scientometric research, by repository service providers, and in the context of research data aggregation services. Openly available metadata of the DataCite index for research data were used to compile a large training and evaluation set comprise...

The Mediterranean region is frequently struck by severe rainfall events causing numerous casualties and several million euros of damages every year. Thus, improving the forecast accuracy is a fundamental goal to limit social and economic damages. Numerical Weather Prediction (NWP) models are currently able to produce forecasts at the km scale grid...

Significant improvements are presented for the molecular dynamics code ls1 mardyn — a linked cell-based code for simulating a large number of small, rigid molecules with application areas in chemical engineering. The changes consist of a redesign of the SIMD vectorization via wrappers, MPI improvements and a software redesign to allow memory-effici...

Scheduling in High Performance Computing (HPC) platforms is often a challenge with a huge range of researches and a noticeable phenomenon is a divergence between theory and practice. Especially, the heterogeneity of jobs today is becoming more popular, while a static scheduler is often prohibited by the runtime behavior as well as the multi-demand...

Scheduling jobs in High Performance Computing (HPC) platforms is often a challenge with a huge range of researches and a noticeable phenomenon is a divergence between theory and practice. Especially, the heterogeneity of jobs today is becoming more popular, while a static scheduler is often prohibited by the runtime behavior as well as the multi-de...

The Leibniz Supercomputing Centre (Leibniz-Rechenzentrum, LRZ) of the Bavarian Academy of Sciences and Humanities (Bayerische Akademie der Wissenschaften, BAdW) is the IT service provider for Munich's universities and to a number of scientific institutions in the greater Munich area as well as in the state of Bavaria. LRZ is a member of the Gauss C...

Virtual Reality is a powerful tool for scienti c visualization and science communication. Utilizing all three spatial dimensions as well as intuitive interaction methods allows us to present large sets of data in immersive ways. We present a VR visualization of precipitation data pertaining to the hydrological area of Bavaria.

Lifecycle models for research data are often abstract and simple. This comes at the danger of oversimplifying the complex concepts of research data management. The analyses of 90 different lifecycle models lead to two approaches to assess the quality of these models. While terminological issues make direct comparisons of models hard, an empirical e...

Lifecycle models for research data are often abstract and simple. This comes at the danger of oversimplifying the complex concepts of research data management. The analysis of 90 different lifecycle models lead to two approaches to assess the quality of these models. While terminological issues make direct comparisons of models hard, an empirical e...

Lifecycle models for research data are often abstract and simple. This comes at the danger of oversimplifying the complex concepts of research data management. The analyses of 90 different lifecycle models lead to two approaches to assess the quality of these models. While terminological issues make direct comparisons of models hard, an empirical e...

The demand for highly-available systems is continuously increasing. Fault-tolerant systems which are composed of several redundant sub-units allow for continuous operation of such critical systems by distributing the system load across the functional units. However, these systems can fail if several redundant sub-units break down simultaneously. To...

We describe a suite of open source virtual reality programs which can be used to visualize the results of chemical simulations of various types (including access to NOMAD, the largest database of materials science compounds). The programs target virtual reality environments at different price points (M€ CAVE-like11CAVETM is a trademark of the Unive...

This book presents the latest findings and ongoing research in the field of environmental informatics. It addresses a wide range of cross-cutting activities such as efficient computing, virtual reality, disruption management, big data, open science and internet of things, and showcases how these green information & communication technologies (ICT)...

A large number of services for research data management strive to adhere to the FAIR guiding principles for scientific data management and stewardship. To evaluate these services and to indicate possible improvements, use-case-centric metrics are needed as an addendum to existing metric frameworks. The retrieval of spatially and temporally annotate...

Due to the size of its customer base, the video game industry has long been the best-funded proponent of innovative real-time computer graphics. Many advancements in the field of computer graphics, software and hardware, have become cost-effective due to their use in video games, which in turn funded even further research and breakthroughs. Recent...

This book presents the latest findings and ongoing research in the field of environmental informatics. It addresses a wide range of cross-cutting activities such as recent advances in environmental informatics, Internet of Things technologies, challenges in ICT-technologies, disaster management, energy aware software-engineering and development, en...

Reliability measures the ability of a system to provide its intended level of service. It is influenced by many factors throughout a system lifecycle. A detailed understanding of their impact often remains elusive since these factors cannot be studied independently. Formulating reliability studies as a Bayesian regression problem allows to simultan...

For the fourth time the Czech-Bavarian Competence Centre for Supercomputing Applications, CzeBaCCA, has organised a technical Intel Many Integrated Core (MIC) programming workshop combined with a scientific workshop about HPC simulations in the field of environmental sciences. The Czech-Bavarian Competence Centre was established in 2016 by the Leib...

We present a multi-platform tool that allows us to explore materials in Virtual Reality (VR) which has been developed within the Novel Materials Discovery (NOMAD) Laboratory, a European Centre of Excellence [NOMAD]. The so far implemented functionality covers (Fig. 1) crystal structures, Fermi surfaces, molecular-dynamics trajectories, and electron...

Das Münchner Wissenschaftsnetz (MWN) verbindet alle Münchner Universitäten und Hochschulen sowie viele weitere Forschungseinrichtungen im Großraum München. Es wird vom 1962 gegründeten Leibniz‐Rechenzentrum betrieben. Dieser Beitrag beschreibt die wechselvolle Geschichte und die rasante Entwicklung des MWN in den letzten 50 Jahren, an der sich auch...

We describe a free-software virtual reality system which provides material scientists with a tool to more easily study simulations of chemical systems at the atomic and molecular levels, and which is compatible with the NOMAD infrastructure (an international, open repository which is developing advanced analysis techniques and contains millions of...

The use of event graphs is a common approach to debug and analyze message passing parallel programs. Although event graphs are very useful for program understanding and debugging, they get confusing and hard to read for programs with complex communication behavior, long runtimes and a large numbers of processes. An approach to ease this problem is...

From 1970 to 2012, about 9000 high impact weather events were reported globally causing the loss of 1.94 million lives and damage of US$ 2.4 trillion (United Nations International Strategy for Disaster Reduction, UNISDR report 2014). The scientific community is called to action to improve the predictive ability of such events and communicate foreca...

This paper discusses the data and compute challenges of the global collaboration producing the UNISDR Global Assessment Report on Disaster Risk Reduction. The assessment produces estimates – such as the “Probable Maximum Loss” – of the annual disaster losses due to natural hazards. The data is produced by multi-disciplinary teams in different organ...

Urgent computing requires computations to commence in short order and complete within a stipulated deadline so as to support mitigation activities in preparation, response and recovery from an event that requires immediate attention. Missing an urgent deadline can lead to dire consequences where avoidable human and financial losses ensued. Allocati...

Gaining a deeper physical understanding of the high‐impact weather events which repeatedly affected the Western Mediterranean Basin in recent years on the coastal areas of eastern Spain, s outhern France and northern Italy is strongly motivated by the social request to reduce the casualties and the economical impacts due to these highly localized a...

Fast and simple access to computing resources for in-silico experiments and processing of large amounts of data have become crucial factors for researchers in the bioinformatics and biomedical domains. Cloud computing offers the possibility of accessing computing resources for a flexible amount of time and with varying requirements. We discuss how...

Textures are widely used in modern computer graphics. Their size, however, is often a limiting factor. Considering the widespread adaptation of mobile virtual and augmented reality applications, efficient storage of textures has become an important factor. We present an approach to analyse textures of a given mesh and compute a new set of textures...

Forecasting severe hydro-meteorological events under time constraints requires reliable and robust models, which facilitate energy-aware allocations on high performance computing infrastructures. We present an innovative approach to quantify the performance of six heuristics in selecting optimal allocations to distributed HPC resources for an ensem...

Environmental computing is becoming a recognized specialty focusing on producing actionable knowledge by advanced environmental modelling. At the moment the environmental computing community shares a tacit understanding of what are the initiatives, tools and approaches that belong to the core scope of this emerging discipline. The environmental com...

Forecasting severe hydro-meteorological events under time constraints requires reliable and robust models, which facilitate energy-aware allocations on high performance computing infrastructures. We present an innovative approach to quantify the performance of six heuristics in selecting optimal allocations to distributed HPC resources for an ensem...

This paper describes how tablets can be used to increase the interaction possibilities of virtual reality applications running on CAVE-like 1 environments. A use case is presented using the genome comparison software 3DScover. The tablet interface has been introduced in a user-centric development environment. Multiple user studies have guided the e...

This paper describes how tablets can be used to increase the interaction possibilities of virtual reality applications running on CAVE-like1 environments. A use case is presented using the genome comparison software 3DScover. The tablet interface has been introduced in a user-centric development environment. Multiple user studies have guided the ev...

Research in computational science (CS) poses several challenges, stemming both from the scientific domain being studied and the sophisticated IT infrastructures used by the CS researchers. IT infrastructures typically consist of the latest and most powerful supercomputers, high-performance networks and high-capacity data storage services that are p...

While we are witnessing a transition from petascale to exascale computing, we experience, when teaching students and scientists to adopt distributed computing infrastructures for computational science, what Geoffrey A. Moore once coined "the chasm" between the visionaries in computational science and the early majority of scientific pragmatists. Us...

In Autumn 2013, we-an international team of climate scientists, computer scientists, eScience researchers, and e-Infrastructure specialists-participated in the enlighten your research global competition, organized to showcase advanced lightpath technologies in support of state-of-the-art research questions. As one of the winning entries, our enligh...