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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…
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Berkeley DB
CFEngine
Comparison of structured storage software
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NoSQL
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Scalable Deep Learning via I/O Analysis and Optimization
S. Pumma
,
Min Si
,
W. Feng
,
P. Balaji
TOPC
2019
Corpus ID: 156051994
Scalable deep neural network training has been gaining prominence because of the increasing importance of deep learning in a…
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2019
2019
Howard Chu on Lightning Memory-Mapped Database
G. Henry
IEEE Software
2019
Corpus ID: 204862260
Gavin Henry: What's the history of LMDB [Lightning Memory-Mapped Database]?
2018
2018
I / O Bottleneck Investigation in Deep Learning Systems
S. Pumma
,
Min Si
,
Wu-chun Feng
,
P. Balaji
2018
Corpus ID: 125091299
As deep learning systems continue to grow in importance, several researchers have been analyzing approaches to make such systems…
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2017
2017
Towards Scalable Deep Learning via I/O Analysis and Optimization
S. Pumma
,
Min Si
,
Wu-chun Feng
,
P. Balaji
IEEE 19th International Conference on High…
2017
Corpus ID: 21793901
Deep learning systems have been growing in prominence as a way to automatically characterize objects, trends, and anomalies…
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2017
2017
Scalable time-versioning support for property graph databases
Warut D. Vijitbenjaronk
,
Jinho Lee
,
T. Suzumura
,
Ilie Gabriel Tanase
IEEE International Conference on Big Data (Big…
2017
Corpus ID: 3279639
When graphs change over time, it is important to make the changes trackable for many graph-based applications. We propose an…
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2017
2017
Parallel I/O Optimizations for Scalable Deep Learning
S. Pumma
,
Min Si
,
Wu-chun Feng
,
P. Balaji
IEEE 23rd International Conference on Parallel…
2017
Corpus ID: 27927470
As deep learning systems continue to grow in importance, researchers have been analyzing approaches to make such systems…
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2017
2017
Comparison of deep learning architectures for H&E histopathology images
Jiamei Sun
,
Alexander Binder
IEEE Conference on Big Data and Analytics (ICBDA)
2017
Corpus ID: 46807475
Deep learning has achieved outstanding performance in many fields such as image classification and target recognition. Recently…
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2016
2016
Reducing crash recoverability to reachability
Eric Koskinen
,
Junfeng Yang
POPL
2016
Corpus ID: 6918067
Software applications run on a variety of platforms (filesystems, virtual slices, mobile hardware, etc.) that do not provide 100…
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2014
2014
A temática do trabalho e o personagem trabalhador nos mensários sociopolíticos Caros Amigos e Le Monde Diplomatique Brasil
M. H. Soares
2014
Corpus ID: 177990572
Resume: La visee de cet article est de penser la thematique du travail et la place du personnage travailleur au sein des mensuels…
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2010
2010
On-site real-time 3D match move for MR-based previsualization with relighting
Ryosuke Ichikari
,
Kaori Kikuchi
,
Wataru Toishita
,
Ryuhei Tenmoku
,
F. Shibata
,
H. Tamura
SIGGRAPH '10
2010
Corpus ID: 25580194
We are developing a previsualization method called MR-PreViz, which utilizes mixed reality technology for filmmaking [Tenmoku et…
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