Open AccessProcessing-In-Memory of Data Filter On Compressed Data
Author(s) -
Tiago Rodrigo Kepe,
Francis B. Moreira,
Marco A. Z. Alves
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/eradrs.2022.19182
Subject(s) - computer science , data compression , encoding (memory) , exploit , filter (signal processing) , compression (physics) , data processing , memory management , artificial intelligence , computer hardware , computer vision , database , semiconductor memory , materials science , computer security , composite material
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.