The case for learned index structures

T Kraska, A Beutel, EH Chi, J Dean… - Proceedings of the 2018 …, 2018 - dl.acm.org
Indexes are models: a\btree-Index can be seen as a model to map a key to the position of a
record within a sorted array, a Hash-Index as a model to map a key to a position of a record …

A blockchain-based integrated document management framework for construction applications

M Das, X Tao, Y Liu, JCP Cheng - Automation in Construction, 2022 - Elsevier
Document management systems in AEC projects manage important project documents such
as schedules, RFIs, and change orders. Hence, security concerns in document management …

Fusing similarity models with markov chains for sparse sequential recommendation

R He, J McAuley - 2016 IEEE 16th international conference on …, 2016 - ieeexplore.ieee.org
Predicting personalized sequential behavior is a key task for recommender systems. In order
to predict user actions such as the next product to purchase, movie to watch, or place to visit …

ALEX: an updatable adaptive learned index

J Ding, UF Minhas, J Yu, C Wang, J Do, Y Li… - Proceedings of the …, 2020 - dl.acm.org
Recent work on" learned indexes" has changed the way we look at the decades-old field of
DBMS indexing. The key idea is that indexes can be thought of as" models" that predict the …

Recipe: Converting concurrent dram indexes to persistent-memory indexes

SK Lee, J Mohan, S Kashyap, T Kim… - Proceedings of the 27th …, 2019 - dl.acm.org
We present Recipe, a principled approach for converting concurrent DRAM indexes into
crash-consistent indexes for persistent memory (PM). The main insight behind Recipe is that …

Data locality in high performance computing, big data, and converged systems: An analysis of the cutting edge and a future system architecture

S Usman, R Mehmood, I Katib, A Albeshri - Electronics, 2022 - mdpi.com
Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

In-memory big data management and processing: A survey

H Zhang, G Chen, BC Ooi, KL Tan… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

RadixSpline: a single-pass learned index

A Kipf, R Marcus, A van Renen, M Stoian… - Proceedings of the third …, 2020 - dl.acm.org
Recent research has shown that learned models can outperform state-of-the-art index
structures in size and lookup performance. While this is a very promising result, existing …

Simba: Efficient in-memory spatial analytics

D Xie, F Li, B Yao, G Li, L Zhou, M Guo - Proceedings of the 2016 …, 2016 - dl.acm.org
Large spatial data becomes ubiquitous. As a result, it is critical to provide fast, scalable, and
high-throughput spatial queries and analytics for numerous applications in location-based …

PACTree: A high performance persistent range index using PAC guidelines

WH Kim, RM Krishnan, X Fu, S Kashyap… - Proceedings of the ACM …, 2021 - dl.acm.org
Non-Volatile Memory (NVM), which provides relatively fast and byte-addressable
persistence, is now commercially available. However, we cannot equate a real NVM with a …