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Auflistung nach Autor:in "Kessener, Daniel"

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  • Textdokument
    Developing Bare-Metal GPGPU Drivers From Scratch: What prevents scientists from developing own GPGPU drivers?
    (Tagungsband des FG-BS Frühjahrstreffens 2021, 2021) Lütke Dreimann, Marcel; Kessener, Daniel
    Most of modern computers use Graphic Processing Units (GPUs) as an additional source of computing power. However, using GPUs in bare-metal research operating systems comes with some challenges. Existing drivers for Linux or Windows are complex and cannot be used for without much effort. Documentation of modern GPUs is often missing or incomplete and drivers are incomprehensive or closed source. This paper tries to explain what prevents scientists from creating their own GPU drivers. Additionally, it gives an overview about GPGPU driver development for GPUs from different manufactur- ers and shows some challenges. Nevertheless, we have ambitiously started an undertaking to develop our own driver from scratch. To some extend this was successful, but with many problems on the way.
  • Textdokument
    First Things First: A Discussion of Modelling Approaches for Disruptive Memory Technologies
    (Tagungsband des FG-BS Herbsttreffens 2021, 2021) Müller, Michael; Kessener, Daniel; Spinczyk, Olaf
    Disruptive memory technologies (DMT) are dramatically changing the architecture of modern computer systems and affect important design decisions throughout the whole software stack. For their success it is crucial that developers of system software and applications find ways to fully exploit the potential of the novel hardware. Having appropriate DMT hardware models is the key to successful optimization in the world of system software and application development. Therefore, this paper introduces four relevant new DMTs and corresponding performance analyzes as well as modelling approaches. We conclude with the insight that there is a lack of system-wide models that are practically applicable by system software designers for proper optimization and, thus, an important domain for future research.