Output details
11 - Computer Science and Informatics
University of Manchester
Article title
Automatic Extraction of Coarse-Grained Data-Flow Threads from Imperative Programs
Type
D - Journal article
Title of journal
IEEE Micro
Article number
-
Volume number
32
Issue number
4
First page of article
19
ISSN of journal
0272-1732
Year of publication
2012
URL
-
Number of additional authors
2
Additional information
<08> In a context where sequential performance stagnates and parallel execution platforms become increasingly available, this paper focuses on a new technique for automatically extracting data flow parallelism from sequential programs. This paper is significant because it represents a first step towards automatic parallelization of (unrestricted) imperative programs. Furthermore, data flow parallelism is more easily exploited on current architectures than other forms of parallelism because it puts less pressure on the available memory bandwidth.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-