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Auflistung nach Autor:in "Damme, Patrick"

1 - 4 von 4
  • Konferenzbeitrag
    Enabling Integrated Data Analysis Pipelines on Heterogeneous Hardware through Holistic Extensibility
    (BTW 2023, 2023) Damme, Patrick; Boehm, Matthias
    This submission is an extended abstract.
  • Zeitschriftenartikel
    Evaluating the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for In-Memory Database Systems
    (Datenbank-Spektrum: Vol. 19, No. 3, 2019) Pietrzyk, Johannes; Habich, Dirk; Damme, Patrick; Focht, Erich; Lehner, Wolfgang
    In-memory column-store database systems are state of the art for the efficient processing of analytical workloads. In these systems, data compression as well as vectorization play an important role. Currently, the vectorized processing is done using regular SIMD (Single Instruction Multiple Data) extensions of modern processors. For example, Intel’s latest SIMD extension supports 512-bit vector registers which allows the parallel processing of 8× 64-bit values. From a database system perspective, this vectorization technique is not only very interesting for compression and decompression to reduce the computational overhead, but also for all database operators like joins, scan, as well as groupings. In contrast to these SIMD extensions, NEC Corporation has recently introduced a novel pure vector engine (supercomputer) as a co-processor called SX-Aurora TSUBASA. This vector engine features a vector length of 16.384 bits with the world’s highest bandwidth of up to 1.2 TB/s, which perfectly fits to data-intensive applications like in-memory database systems. Therefore, we describe the unique architecture and properties of this novel vector engine in this paper. Moreover, we present selected in-memory column-store-specific evaluation results to show the benefits of this vector engine compared to regular SIMD extensions. Finally, we conclude the paper with an outlook on our ongoing research activities in this direction.
  • Textdokument
    First Investigations of the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for Database Systems
    (BTW 2019 – Workshopband, 2019) Pietrzyk, Johannes; Habich, Dirk; Damme, Patrick; Lehner, Wolfgang
    The hardware landscape is currently changing from homogeneous multi-core systems towards heterogeneous systems with many different computing units, each with their own characteristics. This trend is a great opportunity for database systems to increase the overall performance if the heterogeneous resources can be utilized efficiently. Following that trend, NEC cooperation has recently introduced a novel heterogeneous hardware system called SX-Aurora TSUBASA. This novel heterogeneous system features a strong vector engine as a (co-)processor providing world’s highest memory bandwidth of 1.2TB/s per vector processor. From a database system perspective, where many operations are memory bound, this bandwidth is very interesting. Thus, we describe the unique architecture and properties of this novel heterogeneous system in this paper. Moreover, we present first database-specific evaluation results to show the benefit of this system to increase the query performance. We conclude the paper with an outlook on our ongoing research activities in this direction.
  • Konferenzbeitrag
    Optimierung der Anfrageverarbeitung mittels Kompression der Zwischenergebnisse
    (Datenbanksysteme für Business, Technologie und Web (BTW 2015), 2015) Habich, Dirk; Damme, Patrick; Lehner, Wolfgang
    In Hauptspeicher-zentrischen Architekturansätzen für Datenbanksysteme müssen für die Anfrageverarbeitung sowohl die Basisrelationen als auch die Zwischenergebnisse im Hauptspeicher gehalten werden. Des Weiteren ist der Aufwand, um Zwischenergebnisse zu generieren, äquivalent zum Aufwand, um Änderungen an den Basisrelationen durchzuführen. Daher sollten zur effizienten Anfrageverarbeitung die Zwischenergebnisse so organisiert werden, dass eine effiziente Verarbeitung im Anfrageplan möglich ist. Für diesen Bereich schlagen wir den durchgängigen Einsatz leichtgewichtiger Kompressionsverfahren für Zwischenergebnisse vor und haben das Ziel, eine ausgewogene Anfrageverarbeitung auf Basis komprimierter Zwischenergebnisse zu entwickeln. Dieser Artikel gibt einen Überblick über unser Konzept und die wissenschaftlichen Herausforderungen. Darüber hinaus führen wir erste Ansätze zur Optimierung von leichtgewichtigen Kompressionsund Transformationsverfahren ein, die aus Sicht der Anfrageverarbeitung eventuell sinnvoll sind, um einen effizienten Wechsel des Kompressionsverfahrens durchzuführen.