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  1. Proceedings of the 11th International Workshop on Data Management on New Hardware (DaMoN'15)
  2. Efficient Lightweight Compression Alongside Fast Scans
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Energy-Efficient In-Memory Data Stores on Hybrid Memory Hierarchies
Beyond the Wall: Near-Data Processing for Databases
Scaling the Memory Power Wall With DRAM-Aware Data Management
NUMA obliviousness through memory mapping
By their fruits shall ye know them: A Data Analyst's Perspective on Massively Parallel System Design
TLB misses: The Missing Issue of Adaptive Radix Tree?
Applying HTM to an OLTP System: No Free Lunch
The Serial Safety Net: Efficient Concurrency Control on Modern Hardware
Efficient Lightweight Compression Alongside Fast Scans
Energy-Efficient Query Processing on Embedded CPU-GPU Architectures
Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries
Ultra-Fast Similarity Search Using Ternary Content Addressable Memory

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Efficient Lightweight Compression Alongside Fast Scans

Content Provider ACM Digital Library
Author Polychroniou, Orestis Ross, Kenneth A.
Abstract The increasing main-memory capacity has allowed query execution to occur primarily in main memory. Database systems employ compression, not only to fit the data in main memory, but also to address the memory bandwidth bottleneck. Lightweight compression schemes focus on efficiency over compression rate and allow query operators to process the data in compressed form. For instance, dictionary compression keeps the distinct column values in a sorted dictionary and stores the values as index codes with the minimum number of bits. Packing the bits of each code contiguously, namely horizontal bit packing, has been optimized by using SIMD instructions for unpacking and by evaluating predicates in parallel per processor word for selection scans. Interleaving the bits of codes, namely vertical bit packing, provides faster scans, but incurs prohibitive costs for packing and unpacking. Here, we improve packing and unpacking for vertical bit packing using SIMD instructions, achieving more than an order of magnitude speedup. Also, we optimize horizontal bit packing on the latest CPUs and compare all approaches. While no single variant is better in all cases, vertical bit packing offers a good trade-off by combining the fastest scans with comparably fast packing and unpacking.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450336383
DOI 10.1145/2771937.2771943
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-05-31
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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