Analyzing E2LSH Implementation on Modern Storage Devices

Temel Kavramlar

Evaluating the performance of E2LSH on modern storage devices and determining the storage requirements for optimal speed.

Özet

The content discusses the implementation and evaluation of E2LSH on modern storage devices, focusing on its computational and I/O costs. It explores the impact of different storage interfaces and devices on query times, emphasizing the need for efficient external memory execution. The analysis includes experimental setups, datasets used, and comparisons with small-index LSH methods like SRS and QALSH.

Introduction to Locality Sensitive Hashing (LSH) for approximate nearest neighbor search.
Comparison of E2LSH with small-index LSH variants in terms of query time efficiency.
Experimental setup details including datasets, computational costs, and I/O requirements.
Analysis of required IOPS for achieving speeds comparable to in-memory implementations.
Examination of CPU overheads and storage interface impacts on query performance.

İstatistikler

Since then, several LSH variants having much smaller index sizes have been proposed.
Our analysis indicates that external memory needs to provide a random read performance of a few hundred kIOPS in order to compete with the state-of-the-art small-index methods SRS [35] and QALSH [18] executed in-memory.

Alıntılar

"Our analysis indicates that external memory needs to provide a random read performance of a few hundred kIOPS." - Content

Önemli Bilgiler Şuradan Elde Edildi

Implementing and Evaluating E2LSH on Storage

by Yu Nakanishi... : arxiv.org 03-26-2024

https://arxiv.org/pdf/2403.16404.pdf

Daha Derin Sorular

How does the choice of block size impact the I/O requirements for E2LSHoS

The choice of block size has a significant impact on the I/O requirements for E2LSHoS. A smaller block size means that each bucket can hold fewer objects, leading to more buckets being read and thus increasing the number of I/O operations required per query. This is because with a smaller block size, more buckets need to be accessed to retrieve all the necessary data, resulting in higher I/O counts. On the other hand, a larger block size allows more objects to be stored in each bucket, reducing the overall number of buckets that need to be read and consequently lowering the total number of I/O operations needed.

What are the implications of using asynchronous I/O interfaces on query speed

Using asynchronous I/O interfaces can have a positive impact on query speed for E2LSHoS. Asynchronous I/O allows multiple storage requests to be issued without waiting for each one to complete before proceeding with subsequent operations. This parallel processing capability enables better utilization of storage resources by overlapping computation tasks with data retrieval from storage devices. By minimizing idle times and maximizing resource usage efficiency, asynchronous I/O interfaces can lead to faster query execution times compared to synchronous implementations where each operation must wait for the previous one to finish before starting.

How do emerging high-performance storage devices affect the overall performance of E2LSHoS

Emerging high-performance storage devices play a crucial role in enhancing the overall performance of E2LSHoS. These advanced storage technologies such as NVMe™SSDs offer significantly higher random read performance (measured in terms of IOPS) compared to traditional HDDs. The improved speed and efficiency provided by these modern storage devices enable E2LSHoS algorithms running on external memory implementations like solid-state drives (SSDs) or prototype XLFDDs to achieve speeds comparable or even superior to those achieved by small-index LSH methods executed entirely in-memory.