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BeeGFS
Known as:
FhGFS
, FraunhoferFS
BeeGFS is a parallel file system, developed and optimized for high-performance computing. BeeGFS includes a distributed metadata architecture for…
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Related topics
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11 relations
Clustered file system
Converged storage
Distributed file system for cloud
GPI Space
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
On Overlapping Communication and File I/O in Collective Write Operation
Raafat Feki
,
E. Gabriel
IEEE International Symposium on Parallel…
2020
Corpus ID: 220887880
Many parallel scientific applications spend a significant amount of time reading and writing data files. Collective I/O…
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2020
2020
Understanding and Finding Crash-Consistency Bugs in Parallel File Systems
Jinghan Sun
,
Chen Wang
,
Jian Huang
,
M. Snir
USENIX Workshop on Hot Topics in Storage and File…
2020
Corpus ID: 220361801
Parallel file systems (PFSes) and parallel I/O libraries have been the backbone of high-performance computing (HPC…
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2020
2020
Parallel I/O on Compressed Data Files: Semantics, Algorithms, and Performance Evaluation
S. Singh
,
E. Gabriel
IEEE/ACM International Symposium on Cluster…
2020
Corpus ID: 220606956
Many scientific applications operate on data sets that span hundreds of Gigabytes or even Terabytes in size. Large data sets…
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2018
2018
UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-from-Anywhere Big Data Eco-Systems
Hsing-bung Chen
,
Qiang Guan
,
Song Fu
IEEE 16th Intl Conf on Dependable, Autonomic and…
2018
Corpus ID: 53092983
Modern global file systems such as parallel file systems or distributed file systems normally use a global namespace (GNS) to…
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2018
2018
Mini-batch ready for training Dataset File 0 Dataset File 1 Dataset File i ... Read Buffer Shuffle Buffer Mapping Operation Fill Up Buffer Parsed Tensors Randomly Chose Output Batch Source Map…
Yue Zhu
,
Fahim Chowdhury
,
+4 authors
Weikuan Yu
2018
Corpus ID: 160034910
Deep neural networks have recently gained tremendous interest due to their capabilities in a wide variety of application areas…
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2018
2018
Low-Power Storage Bricks and Bioinformatics on Systems-On-Chip
L. Morganti
,
D. Cesini
,
+4 authors
D. D'Agostino
International Euromicro Conference on Parallel…
2018
Corpus ID: 46960136
Low-power Systems on Chip (SoCs) derived from the embedded and mobile market can be profitably used to execute scientific…
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2018
2018
Hybrid Codes for Atomistic Simulations on the Desmos Supercomputer: GPU-acceleration, Scalability and Parallel I/O
N. Kondratyuk
,
G. Smirnov
,
V. Stegailov
Russian Supercomputing Days
2018
Corpus ID: 59536275
In this paper, we compare different GPU accelerators and algorithms for classical molecular dynamics using LAMMPS and GROMACS…
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2016
2016
Retour d'expérience BeeGFS
D. Sanchez
2016
Corpus ID: 192829452
2015
2015
A Data Storage Approach for Large-Scale Distributed Medical Systems
D. D. J. D. Macedo
,
A. V. Wangenheim
,
M. Dantas
Ninth International Conference on Complex…
2015
Corpus ID: 15665760
Nowadays the studies of how to store massive amounts of data is a constant concern for the entire scientific community. In this…
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2013
2013
A Data Management in a Private Cloud Storage Environment Utilizing High Performance Distributed File Systems
Tiago S. Soares
,
M. Dantas
,
D. D. J. D. Macedo
,
M. Bauer
Workshops on Enabling Technologies…
2013
Corpus ID: 6155753
The new trend in the process of data-intensive management indicates the importance of a distributed file system for both Internet…
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