Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

OpenLDAP Lightning Memory-Mapped Database

Known as: LMDB 
Lightning Memory-Mapped Database (LMDB) is a software library that provides a high-performance embedded transactional database in the form of a key… Expand
Wikipedia

Related topics

Related topics

30 relations
B-treeBerkeley DBCFEngineComparison of structured storage software
Expand

Broader (1)

NoSQL

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Howard Chu on Lightning Memory-Mapped Database
Gavin Henry: What's the history of LMDB [Lightning Memory-Mapped Database]? 
Is this relevant?
2019
2019
Scalable Deep Learning via I/O Analysis and Optimization
Scalable deep neural network training has been gaining prominence because of the increasing importance of deep learning in a… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2018
2018
Audiovisuais e Linked data: um estudo das bases DBpedia e LMDB
A As proponent of the Semantic Web and Linked data principles, the Linking Open Data initiative offers an enormous proportion of… Expand
Is this relevant?
2017
2017
Parallel I/O Optimizations for Scalable Deep Learning
As deep learning systems continue to grow in importance, researchers have been analyzing approaches to make such systems… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2017
2017
Scalable time-versioning support for property graph databases
When graphs change over time, it is important to make the changes trackable for many graph-based applications. We propose an… Expand
  • table I
  • figure 1
  • table II
  • figure 2
  • figure 4
Is this relevant?
2017
2017
Towards Scalable Deep Learning via I/O Analysis and Optimization
Deep learning systems have been growing in prominence as a way to automatically characterize objects, trends, and anomalies… Expand
  • figure 2
  • figure 1
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2017
2017
Comparison of deep learning architectures for H&E histopathology images
Deep learning has achieved outstanding performance in many fields such as image classification and target recognition. Recently… Expand
  • table I
  • figure 1
  • table III
  • figure 2
  • table IV
Is this relevant?
2016
2016
Reducing crash recoverability to reachability
Software applications run on a variety of platforms (filesystems, virtual slices, mobile hardware, etc.) that do not provide 100… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2010
2010
On-site real-time 3D match move for MR-based previsualization with relighting
We are developing a previsualization method called MR-PreViz, which utilizes mixed reality technology for filmmaking [Tenmoku et… Expand
  • figure 1
Is this relevant?
2010
2010
7-7 The Research Project on Mixed Reality Based Pre-Visualization for Filmmaking (7) : Scalable MR Compositing System with Real-Time 3D Match Move
1. はじめに 我々は,複合現実感技術を用いて映画制作を支援する MR-PreViz の研究を行っている[1].本稿では,システム構 成及び利用するMR合成技術の変更を可能にした撮影合成シ ステムとリアルタイム 3D マッチムーブ機能について述べる. 2… Expand
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE