@inproceedings{31, author = {{Riebler, Heinrich and Vaz, Gavin Francis and Plessl, Christian and Trainiti, Ettore M. G. and Durelli, Gianluca C. and Bolchini, Cristiana}}, booktitle = {{Proc. HiPEAC Workshop on Reonfigurable Computing (WRC)}}, title = {{{Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems}}}, year = {{2016}}, } @inproceedings{24, author = {{Kenter, Tobias and Plessl, Christian}}, booktitle = {{Proc. Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC)}}, title = {{{Microdisk Cavity FDTD Simulation on FPGA using OpenCL}}}, year = {{2016}}, } @inproceedings{25, author = {{Lass, Michael and Kühne, Thomas and Plessl, Christian}}, booktitle = {{Workshop on Approximate Computing (AC)}}, title = {{{Using Approximate Computing in Scientific Codes}}}, year = {{2016}}, } @inproceedings{138, abstract = {{Hardware accelerators are becoming popular in academia and industry. To move one step further from the state-of-the-art multicore plus accelerator approaches, we present in this paper our innovative SAVEHSA architecture. It comprises of a heterogeneous hardware platform with three different high-end accelerators attached over PCIe (GPGPU, FPGA and Intel MIC). Such systems can process parallel workloads very efficiently whilst being more energy efficient than regular CPU systems. To leverage the heterogeneity, the workload has to be distributed among the computing units in a way that each unit is well-suited for the assigned task and executable code must be available. To tackle this problem we present two software components; the first can perform resource allocation at runtime while respecting system and application goals (in terms of throughput, energy, latency, etc.) and the second is able to analyze an application and generate executable code for an accelerator at runtime. We demonstrate the first proof-of-concept implementation of our framework on the heterogeneous platform, discuss different runtime policies and measure the introduced overheads.}}, author = {{Riebler, Heinrich and Vaz, Gavin Francis and Plessl, Christian and Trainiti, Ettore M. G. and Durelli, Gianluca C. and Del Sozzo, Emanuele and Santambrogio, Marco D. and Bolchini, Christina}}, booktitle = {{Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI)}}, pages = {{1--5}}, publisher = {{IEEE}}, title = {{{Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems}}}, doi = {{10.1109/RTSI.2016.7740545}}, year = {{2016}}, } @inbook{156, abstract = {{Many modern compute nodes are heterogeneous multi-cores that integrate several CPU cores with fixed function or reconfigurable hardware cores. Such systems need to adapt task scheduling and mapping to optimise for performance and energy under varying workloads and, increasingly important, for thermal and fault management and are thus relevant targets for self-aware computing. In this chapter, we take up the generic reference architecture for designing self-aware and self-expressive computing systems and refine it for heterogeneous multi-cores. We present ReconOS, an architecture, programming model and execution environment for heterogeneous multi-cores, and show how the components of the reference architecture can be implemented on top of ReconOS. In particular, the unique feature of dynamic partial reconfiguration supports self-expression through starting and terminating reconfigurable hardware cores. We detail a case study that runs two applications on an architecture with one CPU and 12 reconfigurable hardware cores and present self-expression strategies for adapting under performance, temperature and even conflicting constraints. The case study demonstrates that the reference architecture as a model for self-aware computing is highly useful as it allows us to structure and simplify the design process, which will be essential for designing complex future compute nodes. Furthermore, ReconOS is used as a base technology for flexible protocol stacks in Chapter 10, an approach for self-aware computing at the networking level.}}, author = {{Agne, Andreas and Happe, Markus and Lösch, Achim and Plessl, Christian and Platzner, Marco}}, booktitle = {{Self-aware Computing Systems}}, pages = {{145--165}}, publisher = {{Springer International Publishing}}, title = {{{Self-aware Compute Nodes}}}, doi = {{10.1007/978-3-319-39675-0_8}}, year = {{2016}}, } @article{165, abstract = {{A broad spectrum of applications can be accelerated by offloading computation intensive parts to reconfigurable hardware. However, to achieve speedups, the number of loop it- erations (trip count) needs to be sufficiently large to amortize offloading overheads. Trip counts are frequently not known at compile time, but only at runtime just before entering a loop. Therefore, we propose to generate code for both the CPU and the coprocessor, and defer the offloading decision to the application runtime. We demonstrate how a toolflow, based on the LLVM compiler framework, can automatically embed dynamic offloading de- cisions into the application code. We perform in-depth static and dynamic analysis of pop- ular benchmarks, which confirm the general potential of such an approach. We also pro- pose to optimize the offloading process by decoupling the runtime decision from the loop execution (decision slack). The feasibility of our approach is demonstrated by a toolflow that automatically identifies suitable data-parallel loops and generates code for the FPGA coprocessor of a Convey HC-1. We evaluate the integrated toolflow with representative loops executed for different input data sizes.}}, author = {{Vaz, Gavin Francis and Riebler, Heinrich and Kenter, Tobias and Plessl, Christian}}, issn = {{0045-7906}}, journal = {{Computers and Electrical Engineering}}, pages = {{91--111}}, publisher = {{Elsevier}}, title = {{{Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code}}}, doi = {{10.1016/j.compeleceng.2016.04.021}}, volume = {{55}}, year = {{2016}}, } @inproceedings{168, abstract = {{The use of heterogeneous computing resources, such as Graphic Processing Units or other specialized coprocessors, has become widespread in recent years because of their per- formance and energy efficiency advantages. Approaches for managing and scheduling tasks to heterogeneous resources are still subject to research. Although queuing systems have recently been extended to support accelerator resources, a general solution that manages heterogeneous resources at the operating system- level to exploit a global view of the system state is still missing.In this paper we present a user space scheduler that enables task scheduling and migration on heterogeneous processing resources in Linux. Using run queues for available resources we perform scheduling decisions based on the system state and on task characterization from earlier measurements. With a pro- gramming pattern that supports the integration of checkpoints into applications, we preempt tasks and migrate them between three very different compute resources. Considering static and dynamic workload scenarios, we show that this approach can gain up to 17% performance, on average 7%, by effectively avoiding idle resources. We demonstrate that a work-conserving strategy without migration is no suitable alternative.}}, author = {{Lösch, Achim and Beisel, Tobias and Kenter, Tobias and Plessl, Christian and Platzner, Marco}}, booktitle = {{Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)}}, pages = {{912--917}}, publisher = {{EDA Consortium / IEEE}}, title = {{{Performance-centric scheduling with task migration for a heterogeneous compute node in the data center}}}, year = {{2016}}, } @inproceedings{171, author = {{Kenter, Tobias and Vaz, Gavin Francis and Riebler, Heinrich and Plessl, Christian}}, booktitle = {{Workshop on Reconfigurable Computing (WRC)}}, title = {{{Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract)}}}, year = {{2016}}, } @article{56893, author = {{Biehler, Rolf and Hochmuth, Reinhard}}, issn = {{2198-9745}}, journal = {{International Journal of Research in Undergraduate Mathematics Education}}, number = {{1}}, pages = {{1--7}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Oberwolfach Papers on Mathematics in Undergraduate Study Programs: Challenges for Research}}}, doi = {{10.1007/s40753-016-0049-7}}, volume = {{3}}, year = {{2016}}, } @article{56973, author = {{Biehler, Rolf and Blum, Werner}}, issn = {{0173-5322}}, journal = {{Journal für Mathematik-Didaktik}}, number = {{1}}, pages = {{1--4}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Didaktisch orientierte Rekonstruktion von Mathematik als Basis von Schulmathematik und Lehrerbildung – Editorial}}}, doi = {{10.1007/s13138-016-0101-9}}, volume = {{37}}, year = {{2016}}, } @article{56977, author = {{Biehler, Rolf and Kempen, Leander}}, issn = {{0173-5322}}, journal = {{Journal für Mathematik-Didaktik}}, number = {{1}}, pages = {{141--179}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Didaktisch orientierte Beweiskonzepte – Eine Analyse zur mathematikdidaktischen Ideenentwicklung}}}, doi = {{10.1007/s13138-016-0097-1}}, volume = {{37}}, year = {{2016}}, } @article{56974, author = {{Biehler, Rolf and Frischemeier, D and Podworny, Susanne}}, journal = {{Stochastik in der Schule}}, number = {{1}}, pages = {{22–27}}, title = {{{Stochastische Simulationen mit TinkerPlots–Von einfachen Zufallsexperimenten zum informellen Hypothesentesten}}}, volume = {{36}}, year = {{2016}}, } @inproceedings{56972, author = {{Biehler, Rolf}}, location = {{Hamburg}}, title = {{{Professional development for teaching probability and inference statistics with digital tools at upper secondary level}}}, year = {{2016}}, } @article{56976, author = {{Biehler, Rolf and Hochmuth, R. and Rück, H.-G. and Göller, R. and Hoppenbrock, A. and Liebendörfer, M. and Püschl, J.}}, journal = {{EMS Newsletters December 2016}}, pages = {{49--50}}, title = {{{Research in University Mathematics Education. The khdm}}}, year = {{2016}}, } @article{56971, author = {{Biehler, Rolf and Frischemeier, Daniel}}, journal = {{Stochastik in der Schule}}, number = {{3}}, pages = {{9--15}}, title = {{{Randomisierungstests mit TinkerPlots}}}, volume = {{36}}, year = {{2016}}, } @inbook{57009, author = {{Colberg, Christoph and Biehler, Rolf and Hochmuth, Reinhard and Schaper, N. and Liebendörfer, Michael and Schürmann, Mirko}}, booktitle = {{Beiträge zum Mathematikunterricht 2016, Band 1}}, pages = {{213--216}}, publisher = {{WTM-Verlag}}, title = {{{Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase}}}, year = {{2016}}, } @inbook{57008, author = {{Börsch, Alexander and Biehler, Rolf and Mai, Tobias}}, booktitle = {{Beiträge zum Mathematikunterricht 2016, Band 1}}, pages = {{177--180}}, publisher = {{WTM-Verlag}}, title = {{{Der Studikurs Mathematik NRW – Ein neuer Online-Mathematikvorkurs – Gestaltungsprinzipien am Beispiel linearer Gleichungssysteme}}}, year = {{2016}}, } @inbook{57010, author = {{Biehler, Rolf and Hochmuth, Reinhard and Schaper, Niclas and Kuklinski, Christiane and Lankeit, Elisa and Leis, Elena and Liebendörfer, Michael and Schürmann, Mirko}}, booktitle = {{Working Paper Studieneingangsphase - Perspektiven aus der Begelitforschung zum Qualitätspakt Lehre}}, editor = {{Hanft, A. and Bischoff, F. and Prang, B.}}, pages = {{19--23}}, publisher = {{Carl-von-Ossietzky Universität}}, title = {{{Verbundprojekt WiGeMath: Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase}}}, year = {{2016}}, } @inproceedings{57012, author = {{Engel, Joachim and Schiller, Achim and Frischemeier, Daniel and Biehler, Rolf}}, booktitle = {{Promoting understanding of statistics about society. Proceedings of the Roundtable Conference of the International Association of Statistics Education (IASE), July 2016, Berlin, Germany}}, title = {{{Statistics education and monitoring progress towards civil rights}}}, year = {{2016}}, } @inbook{57017, author = {{Mai, Tobias and Biehler, Rolf and Börsch, Alexander and Colberg, Christoph}}, booktitle = {{Beiträge zum Mathematikunterricht 2016, Band 2}}, pages = {{645--648}}, publisher = {{WTM-Verlag}}, title = {{{Über die Rolle des Studikurses Mathematik in der Studifinder-Plattform und seine didaktischen Konzepte}}}, year = {{2016}}, }