TY - JOUR A1 - Müller, André A1 - Lausser, Ludwig A1 - Wilhelm, Adalbert A1 - Ropinski, Timo A1 - Platzer, Matthias A1 - Neumann, Heiko A1 - Kestler, Hans A. T1 - A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data JF - Advances in Data Analysis and Classification N2 - Visualising data as diagrams using visual attributes such as colour, shape, size, and orientation is challenging. In particular, large data sets demand graphical display as an essential step in the analysis. In order to achieve comprehension often different attributes need to be displayed simultaneously. In this work a comprehensible bivariate, perceptually optimised visualisation scheme for high-dimensional data is proposed and evaluated. It can be used to show fold changes together with confidence values within a single diagram. The visualisation scheme consists of two parts: a uniform, symmetric, two-sided colour scale and a patch grid representation. Evaluation of uniformity and symmetry of the two-sided colour scale was performed in comparison to a standard RGB scale by twenty-five observers. Furthermore, the readability of the generated map was validated and compared to a bivariate heat map scheme. UR - https://doi.org/10.1007/s11634-020-00416-5 KW - colour scales KW - bivariate KW - visualisation Y1 - 2020 UR - https://doi.org/10.1007/s11634-020-00416-5 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-27235 SN - 1862-5355 SN - 1862-5347 VL - 15 IS - 2 SP - 463 EP - 480 PB - Springer CY - Berlin ER - TY - CHAP A1 - Müller, André A1 - Schmidt, Bertil A1 - Membarth, Richard A1 - Leißa, Roland A1 - Hack, Sebastian T1 - AnySeq/GPU: A Novel Approach for Faster Sequence Alignment on GPUs T2 - Proceedings of the 36th ACM International Conference on Supercomputing (ICS-2022) UR - https://doi.org/10.1145/3524059.3532376 Y1 - 2022 UR - https://doi.org/10.1145/3524059.3532376 SN - 978-1-4503-9281-5 PB - ACM CY - New York ER - TY - CHAP A1 - Müller, André A1 - Schmidt, Bertil A1 - Hildebrandt, Andreas A1 - Membarth, Richard A1 - Leißa, Roland A1 - Kruse, Matthis A1 - Hack, Sebastian T1 - AnySeq: A High Performance Sequence Alignment Library based on Partial Evaluation T2 - Proceedings: 2020 IEEE 34th International Parallel and Distributed Processing Symposium (IPDPS 2020) UR - https://doi.org/10.1109/IPDPS47924.2020.00109 KW - Libraries KW - Computer architecture KW - Generators KW - Bioinformatics KW - Hardware KW - Field programmable gate arrays KW - Two dimensional displays Y1 - 2020 UR - https://doi.org/10.1109/IPDPS47924.2020.00109 SN - 978-1-7281-6876-0 SN - 1530-2075 SP - 1030 EP - 1040 PB - IEEE CY - Los Alamitos ER - TY - JOUR A1 - Leißa, Roland A1 - Boesche, Klaas A1 - Hack, Sebastian A1 - Pérard-Gayot, Arsène A1 - Membarth, Richard A1 - Slusallek, Philipp A1 - Müller, André A1 - Schmidt, Bertil T1 - AnyDSL: a partial evaluation framework for programming high-performance libraries JF - Proceedings of the ACM on Programming Languages N2 - This paper advocates programming high-performance code using partial evaluation. We present a clean-slate programming system with a simple, annotation-based, online partial evaluator that operates on a CPS-style intermediate representation. Our system exposes code generation for accelerators (vectorization/parallelization for CPUs and GPUs) via compiler-known higher-order functions that can be subjected to partial evaluation. This way, generic implementations can be instantiated with target-specific code at compile time. In our experimental evaluation we present three extensive case studies from image processing, ray tracing, and genome sequence alignment. We demonstrate that using partial evaluation, we obtain high-performance implementations for CPUs and GPUs from one language and one code base in a generic way. The performance of our codes is mostly within 10%, often closer to the performance of multi man-year, industry-grade, manually-optimized expert codes that are considered to be among the top contenders in their fields. UR - https://doi.org/10.1145/3276489 KW - partial evaluation KW - high-performance KW - parallelization KW - vectorization KW - GPU computing KW - library design Y1 - 2018 UR - https://doi.org/10.1145/3276489 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-28104 SN - 2475-1421 VL - 2 IS - OOPSLA PB - ACM CY - New York ER - TY - CHAP A1 - Müller, Christoph H. A1 - Falke, Tobias A1 - Hoffrichter, André A1 - Wyrwoll, Lothar A1 - Schmitt, Carlo A1 - Trageser, Marc A1 - Schnettler, Armin A1 - Metzger, Michael A1 - Huber, Matthias A1 - Küppers, Martin A1 - Most, Dieter A1 - Paulus, Simon A1 - Heger, Hans Jörg T1 - Integrated Planning and Evaluation of Multi-Modal Energy Systems for Decarbonization of Germany T2 - Energy Procedia N2 - For a successful realization of the energy transition and a reduction of greenhouse gas emissions, an integrated view of multiple energy sectors (electricity, heat and mobility) is necessary. The coupling of different energy sectors is seen as an option to achieve the climate goals in a cost-effective way. In this paper, a methodical approach for multi-modal energy system planning and technology impact evaluation is presented. A key feature of the model is a coupled consideration of sectors electricity, heat and mobility. Energy demands, conversion and storage technologies in households, the Commerce, Trade and Services (CTS) area and the industry are modelled employing a bottom-up modelling approach. The model can be used for the calculation of a detailed transition pathway of energy systems taking into account politically defined climate goals. Based on these calculations, in-depth analyses of energy markets as well as transmission and distribution grids can be performed. UR - https://doi.org/10.1016/j.egypro.2019.01.923 KW - multi-energy systems KW - expansion planning KW - market simulation KW - transmission grid analysis KW - distribution grid analysis Y1 - 2019 UR - https://doi.org/10.1016/j.egypro.2019.01.923 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-31438 SN - 1876-6102 VL - 2019 IS - 158 SP - 3487 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Müller, Christoph H. A1 - Hoffrichter, André A1 - Wyrwoll, Lothar A1 - Schmitt, Carlo A1 - Trageser, Marc A1 - Kulms, Tom A1 - Beulertz, Daniel A1 - Metzger, Michael A1 - Duckheim, Mathias A1 - Huber, Matthias A1 - Küppers, Martin A1 - Most, Daniel A1 - Paulus, Simon A1 - Heger, Hans Jörg A1 - Schnettler, Armin T1 - Modeling framework for planning and operation of multi-modal energy systems in the case of Germany T2 - Applied Energy UR - https://doi.org/10.1016/j.apenergy.2019.05.094 KW - Multi-energy systems KW - Energy system planning KW - Market simulation KW - Transmission grid analysis KW - Distribution grid analysis Y1 - 2019 UR - https://doi.org/10.1016/j.apenergy.2019.05.094 SN - 1872-9118 SN - 0306-2619 VL - 2019 IS - 250 SP - 1132 EP - 1146 PB - Elsevier CY - Amsterdam ER -