Fett, JohannesSchwarz, ChristianKober, UrsHabich, DirkLehner, WolfgangKönig-Ries, BirgittaScherzinger, StefanieLehner, WolfgangVossen, Gottfried2023-02-232023-02-232023978-3-88579-725-8https://dl.gi.de/handle/20.500.12116/40356In this paper we introduce BEAM as a novel approach to perform GPU based matrix multiplication on compressed elements. BEAM allows flexible handling of bit sizes for both input and output elements. First evaluations show promising speedups compared to an uncompressed state-of-the-art matrix multiplication algorithm provided by nvidia.enGPUMatrix multiplicationImproving GPU Matrix Multiplication by Leveraging Bit Level Granularity and CompressionText/Conference Paper10.18420/BTW2023-49