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MorphStore - In-Memory Query Processing based on Morphing Compressed Intermediates LIVE.

, , , , , , and . SIGMOD Conference, page 1917-1920. ACM, (2019)

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Partition-based SIMD Processing and its Application to Columnar Database Systems., , , , and . Datenbank-Spektrum, 23 (1): 53-63 (March 2023)BOUNCE: memory-efficient SIMD approach for lightweight integer compression., , and . Distributed Parallel Databases, 41 (3): 439-466 (September 2023)To use or not to use the SIMD gather instruction?, , , , and . DaMoN, page 9:1-9:5. ACM, (2022)Integrating Lightweight Compression Capabilities into Apache Arrow., , and . DATA, page 55-66. SciTePress, (2020)LCTL: Lightweight Compression Template Library., , , and . IEEE BigData, page 2966-2975. IEEE, (2021)From a Comprehensive Experimental Survey to a Cost-based Selection Strategy for Lightweight Integer Compression Algorithms., , , , and . ACM Trans. Database Syst., 44 (3): 9:1-9:46 (2019)Lower Bound-oriented Parameter Calculation for AN Coding., , , and . ISITA, page 590-594. IEEE, (2018)BOUNCE: Memory-Efficient SIMD Approach for Lightweight Integer Compression., , and . ICDE Workshops, page 123-128. IEEE, (2022)Towards A General SIMD Concurrent Approach to Accelerating Integer Compression Algorithms., , and . EDBT, page 2:414-2:418. OpenProceedings.org, (2022)MorphStore - In-Memory Query Processing based on Morphing Compressed Intermediates LIVE., , , , , , and . SIGMOD Conference, page 1917-1920. ACM, (2019)