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First Investigations of the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for Database Systems.

, , , and . BTW (Workshops), volume P-290 of LNI, page 33-50. Gesellschaft für Informatik, Bonn, (2019)

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Evaluating the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for In-Memory Database Systems., , , , and . Datenbank-Spektrum, 19 (3): 183-197 (2019)To share or not to share vector registers?, , , and . VLDB J., 31 (6): 1215-1236 (2022)Simplicity done right for SIMDified query processing on CPU and FPGA., , , , and . SiMoD@SIGMOD, page 3:1-3:5. ACM, (2023)Near to Far: An Evaluation of Disaggregated Memory for In-Memory Data Processing., , , , , , and . DIMES@SOSP, page 16-22. ACM, (2023)Program your (custom) SIMD instruction set on FPGA in C++., , , , and . CIDR, www.cidrdb.org, (2024)To use or not to use the SIMD gather instruction?, , , , and . DaMoN, page 9:1-9:5. ACM, (2022)First Investigations of the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for Database Systems., , , and . BTW (Workshops), volume P-290 of LNI, page 33-50. Gesellschaft für Informatik, Bonn, (2019)Fighting the Duplicates in Hashing: Conflict Detection-aware Vectorization of Linear Probing, , , and . BTW, volume P-289 of LNI, page 35-53. Gesellschaft für Informatik, Bonn, (2019)MorphStore - In-Memory Query Processing based on Morphing Compressed Intermediates LIVE., , , , , , and . SIGMOD Conference, page 1917-1920. ACM, (2019)MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model., , , , , and . Proc. VLDB Endow., 13 (11): 2396-2410 (2020)