Presentation
Enabling Efficient NVM-Based Text Analytics without Decompression
DescriptionNon-volatile Memory is a novel storage technology that combines the advantage of reading performance and byte addressability of DRAM with the durability of traditional storage devices like SSD and HDD. Unfortunately, no research demonstrates how to use NVM to reduce DRAM utilization in compressed data analytics. In this paper, we propose N-TADOC, which substitutes DRAM with NVM while maintaining TADOC's analytics performance and space savings. Experimental results show that on four real-world datasets, N-TADOC achieves performance speedup and space savings compared to the processing directly on the uncompressed data.
Event Type
Work-in-Progress Poster
TimeTuesday, July 11th6:00pm - 7:00pm PDT
LocationLevel 2 Lobby
AI
Autonomous Systems
Cloud
Design
EDA
Embedded Systems
RISC-V
Security