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Data parallelism

Known as: Data level parallelism, Data-parallelism, Data-level parallelism 
Data parallelism is a form of parallelization across multiple processors in parallel computing environments. It focuses on distributing the data… (More)
Wikipedia

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Topic mentions per year

1981-2018
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Broader (1)

Parallel computing

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Data parallelism
Parallel computing
Central processing unit
Concurrency
Graphics processing unit
Load balancing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
The tao of parallelism in algorithms
For more than thirty years, the parallel programming community has used the <i>dependence graph</i> as the main abstraction for… (More)
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Highly Cited
2009
Highly Cited
2009
How much parallelism is there in irregular applications?
Irregular programs are programs organized around pointer-based data structures such as trees and graphs. Recent investigations by… (More)
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2009
2009
Amorphous Data-parallelism in Irregular Algorithms
Most client-side applications running on multicore processors are likely to be irregular programs that deal with complex… (More)
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Highly Cited
2007
Highly Cited
2007
Optimistic parallelism requires abstractions
Irregular applications, which manipulate large, pointer-based data structures like graphs, are difficult to parallelize manually… (More)
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Highly Cited
2007
Highly Cited
2007
Dryad: distributed data-parallel programs from sequential building blocks
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines… (More)
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Highly Cited
2006
Highly Cited
2006
Accelerator: using data parallelism to program GPUs for general-purpose uses
GPUs are difficult to program for general-purpose uses. Programmers can either learn graphics APIs and convert their applications… (More)
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Highly Cited
1998
Highly Cited
1998
Approaches for integrating task and data parallelism
Languages that support both task and data parallelism are highly general and can exploit both forms of parallelism within a… (More)
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Highly Cited
1996
Highly Cited
1996
Subword parallelism with MAX-2
pro~rpms. T he genera-purpose computing workload is changing to include more processing of multimedia information. We define… (More)
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1995
1995
Work-Efficient Nested Data-Parallelism†
An apply-to-all construct is the key mechanism for expressing data-parallelism, but data-parallel programming languages like HPF… (More)
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Highly Cited
1993
Highly Cited
1993
Maximizing Loop Parallelism and Improving Data Locality via Loop Fusion and Distribution
Loop fusion is a program transformation that merges multiple loops into one. It is eeective for reducing the synchronization… (More)
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