可变字长字对齐混合压缩

Florian Grieskamp, Roland Kühn, J. Teubner
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引用次数: 0

摘要

字对齐混合(WAH)压缩是位图索引轻量级压缩方案的一个突出例子,它考虑了底层架构的字长。这是对商品cpu的妥协,在商品cpu中,低于单词粒度的操作性能很差。随着新型硬件类的出现,这样的妥协可能不再合适。现场可编程门阵列(fpga)甚至没有任何有意义的“字长”。在这项工作中,我们根据现代硬件架构重新考虑位图压缩策略。与其将压缩调优到固定的字长,我们建议将字长调优到最优压缩。由此产生的压缩方案可变字长字对齐混合(VWLWAH)将压缩率提高了近75%,同时在fpga上保持线速率性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variable word length word-aligned hybrid compression
The Word-Aligned Hybrid (WAH) compression is a prominent example of a lightweight compression scheme for bitmap indices that considers the word size of the underlying architecture. This is a compromise toward commodity CPUs, where operations below the word granularity perform poorly. With the emergence of novel hardware classes, such compromises may no longer be appropriate. Field-programmable gate arrays (FPGAs) do not even have any meaningful "word size". In this work, we reconsider strategies for bitmap compression in the light of modern hardware architectures. Rather than tuning compression toward a fixed word size, we propose to tune the word size toward optimal compression. The resulting compression scheme, Variable Word Length Word-Aligned Hybrid (VWLWAH), improves compression rates by almost 75% while maintaining line rate performance on FPGAs.
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