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Data parallelism
Known as:
Data level parallelism
, Data-parallelism
, Data-level parallelism
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Data parallelism is a form of parallelization across multiple processors in parallel computing environments. It focuses on distributing the data…
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Broader (1)
Parallel computing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
XHAMI – extended HDFS and MapReduce interface for Big Data image processing applications in cloud computing environments
Raghavendra Kune
,
P. Konugurthi
,
A. Agarwal
,
C. Raghavendra Rao
,
R. Buyya
Software, Practice & Experience
2017
Corpus ID: 17018548
Hadoop distributed file system (HDFS) and MapReduce model have become popular technologies for large‐scale data organization and…
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2014
2014
Minerva: A Scalable and Highly Efficient Training Platform for Deep Learning
Minjie Wang
,
Tianjun Xiao
,
Jianpeng Li
,
Jiaxing Zhang
,
Chuntao Hong
,
Zheng Zhang
2014
Corpus ID: 13970571
The tooling landscape of deep learning is fragmented by a growing gap between the generic and productivity-oriented tools that…
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2011
2011
Frameworks for Multi-core Architectures: A Comprehensive Evaluation Using 2D/3D Image Registration
Richard Membarth
,
Frank Hannig
,
J. Teich
,
M. Körner
,
Wieland Eckert
ARCS
2011
Corpus ID: 17155132
The development of standard processors changed in the last years moving from bigger, more complex, and faster cores to putting…
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2005
2005
An Enhanced Parallel Loop Self-Scheduling Scheme for Cluster Environments
Chao-Tung Yang
,
Kuan-Wei Cheng
,
Kuan Ching Li
19th International Conference on Advanced…
2005
Corpus ID: 8419272
Approaches for dealing with scheduling and load-balancing in PC-based cluster systems are famous and well known. In such…
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2004
2004
Finite state machine-based optimization of data parallel regular domain problems applied in low-level image processing
F. Seinstra
,
D. Koelma
,
Andrew D. Bagdanov
IEEE Transactions on Parallel and Distributed…
2004
Corpus ID: 1274077
A popular approach to providing nonexperts in parallel computing with an easy-to-use programming model is to design a software…
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1995
1995
Framework for optimizing parallel I/O
R. Bennett
,
Kelvin S. Bryant
,
J. Saltz
,
A. Sussman
,
R. Das
1995
Corpus ID: 17304104
There has been a great deal of recent interest in parallel I/O. This paper discusses issues in the design and implementation of a…
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1995
1995
Runtime Support for Programming in Adaptive Parallel Environments
G. Edjlali
,
G. Agrawal
,
A. Sussman
,
J. Humphries
,
J. Saltz
Languages, Compilers, and Run-Time Systems for…
1995
Corpus ID: 1116503
There has been an increasing trend towards using a network of non-dedicated workstations for parallel programming. In such an…
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1992
1992
Direct Simulation Monte Carlo (DSMC) on the Connection Machine
B. Wong
,
L. Long
1992
Corpus ID: 62223305
The massively parallel computer Connection Machine is utilized to map an improved version of the direct simulation Monte Carlo…
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Highly Cited
1991
Highly Cited
1991
Fast rotation of volume data on parallel architectures
Peter Schröder
,
J. B. Salem
Proceeding Visualization '91
1991
Corpus ID: 34591583
An algorithm for rendering of orthographic views of volume data on data-parallel computer architectures is described. In…
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1991
1991
A critique of the programming language C
W. Tichy
,
Michael Philippsen
,
P. Hatcher
1991
Corpus ID: 65071171
C is a data parallel programming language origi nally developed for the Connection Machine E orts are now underway to standardize…
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