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    Chapter and Conference Paper

    Analysis of Relationship Between SIMD-Processing Features Used in NVIDIA GPUs and NEC SX-Aurora TSUBASA Vector Processors

    This paper presents comprehensive analysis of main SIMD-processing features and computational characteristics of three high performance architectures: two NVIDIA GPU architectures (of Pascal and Volta generati...

    Ilya V. Afanasyev, Vadim V. Voevodin in Parallel Computing Technologies (2019)

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    Chapter and Conference Paper

    Develo** an Efficient Vector-Friendly Implementation of the Breadth-First Search Algorithm for NEC SX-Aurora TSUBASA

    Breadth-First Search (BFS) is an important computational kernel used as a building-block for many other graph algorithms. Different algorithms and implementation approaches aimed to solve the BFS problem have ...

    Ilya V. Afanasyev, Vladimir V. Voevodin in Parallel Computational Technologies (2020)

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    Chapter and Conference Paper

    Develo** Efficient Implementation of Label Propagation Algorithm for Modern NVIDIA GPUs

    Systems equipped with modern NVIDIA GPUs nowadays are capable of solving many real-world problems, including large-scale graph processing. Efficiently implementing graph algorithms on GPUs is a challenging tas...

    Ilya V. Afanasyev, Dmitry I. Lichmanov in Supercomputing (2020)

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    Article

    VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture

    Develo** efficient graph algorithms implementations is an extremely important problem of modern computer science, since graphs are frequently used in various real-world applications. Graph algorithms typical...

    Ilya V. Afanasyev, Vladimir V. Voevodin, Kazuhiko Komatsu in The Journal of Supercomputing (2021)