压缩数据的数据过滤器在内存中的处理

Anais da XXII Escola Regional de Alto Desempenho da Região Sul (ERAD-RS 2022) Pub Date : 2022-04-18 DOI:10.5753/eradrs.2022.19182

T. R. Kepe, Francis B. Moreira, M. Alves

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引用次数: 0

摘要

数据过滤器在以数据为中心的应用程序中是必不可少的，但它需要将大型数据集移动到处理单元。解决这种麻烦的一种方法是使用轻量级压缩方法(如字典编码)进行数据压缩。在本文中，我们利用内存中处理(PIM)数据过滤器的思想直接对压缩数据进行过滤。最初的实验表明，相对于AVX512架构，速度明显提高了2倍以上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Processing-In-Memory of Data Filter On Compressed Data

The data filter is essential in data-centric applications, but it requires moving large data sets to the processing units. One approach to tackle such a hassle is data compression by using lightweight compression methods such as dictionary encoding. In this paper, we exploit the idea of Processing-In-Memory (PIM) data filters directly over compressed data. The initial experiments show noticeable speed-ups of over 2x against the AVX512 architecture.

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Anais da XXII Escola Regional de Alto Desempenho da Região Sul (ERAD-RS 2022)

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