Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 238,063,773 papers from all fields of science
Search
Sign In
Create Free Account
Data parallelism
Known as:
Data level parallelism
, Data-parallelism
, Data-level parallelism
Expand
Data parallelism is a form of parallelization across multiple processors in parallel computing environments. It focuses on distributing the data…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
42 relations
APL
Active message
Alliant Computer Systems
Apache Flink
Expand
Broader (1)
Parallel computing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
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…
Expand
2011
2011
Frameworks for Multi-core Architectures: A Comprehensive Evaluation Using 2D/3D Image Registration
Richard Membarth
,
Frank Hannig
,
J. Teich
,
Mario 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…
Expand
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…
Expand
2001
2001
Computation-Communication Overlap on Network-of-Workstation Multiprocessors
Gary K. Liu
,
T. Abdelrahman
2001
Corpus ID: 15932591
This paper describes and evaluates a compiler transformation that improves the performance of parallel programs on Network-of…
Expand
2000
2000
Performance characteristics for OpenMP constructs on different parallel computer architectures
R. Berrendorf
,
Guido Nieken
Concurrency Practice and Experience
2000
Corpus ID: 869142
OpenMP is emerging as a quasi-standard for shared memory parallel programming on small SMP-systems. To serve as a common…
Expand
Highly Cited
1996
Highly Cited
1996
Simultaneous exploitation of task and data parallelism in regular scientific applications
P. Banerjee
,
S. Ramaswamy
1996
Corpus ID: 61248804
Distributed Memory Multicomputers (DMMs) such as the IBM SP-2, the Intel Paragon and the Thinking Machines CM-5 offer significant…
Expand
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…
Expand
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…
Expand
1994
1994
Adaptor: A Compilation System for Data Parallel Fortran Programs
T. Brandes
Automatic Parallelization
1994
Corpus ID: 13156056
Data parallel programming stands for single threaEnd, global name space, and loosely synchronous parallel computation. This kind…
Expand
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…
Expand