Indexes can improve query-processing performance by avoiding full table scans. Although
traditional indexes (eg, B+-tree) have been widely used, learned indexes are proposed to …

Non-Volatile Memory (NVM) has emerged as an alternative to next-generation main
memories. Although many tree indices have been proposed for NVM, they generally use B+ …

Recently, numerous promising results have shown that updatable learned indexes can
perform better than traditional indexes with much lower memory space consumption. But it is …

Scalable persistent memory (PM) has opened up new opportunities for building indexes that
operate and persist data directly on the memory bus, potentially enabling instant recovery …

Persistent memory (PM) based indexing techniques have been proposed to build fast yet
persistent indexes that sit on the memory bus. Over the past decade, numerous techniques …

Recent works on learned index open a new direction for the indexing field. The key insight of
the learned index is to approximate the mapping between keys and positions with piece …

The learning-enhanced data structure has inspired the development of the range filter,
bringing significantly better false positive rate (FPR) than traditional non-learned range …

Abstract The Non-volatile Memory (NVM) technology belongs to a novel class of storage
devices that offer byte-addressability like DRAM and durability as in persistent storage. The …

Targeting in-memory one-dimensional search keys, we propose a novel DIstribution-driven
Learned Index tree (DILI), where a concise and computation-efficient linear regression …

In this paper, we seek to perform a rigorous experimental study of main-memory hash joins
in storage class memory (SCM). In particular, we perform a design space exploration in real …