For the current REF see the REF 2021 website REF 2021 logo

Output details

11 - Computer Science and Informatics

University of Edinburgh

Return to search Previous output Next output
Output 315 of 401 in the submission
Output title

Semi-automatic extraction and exploitation of hierarchical pipeline parallelism using profiling information

Type
E - Conference contribution
Name of conference/published proceedings
Proceedings of the 19th international conference on Parallel Architectures and Compilation Techniques (PACT '10)
Volume number
-
Issue number
-
First page of article
377
ISSN of proceedings
-
Year of publication
2010
Number of additional authors
1
Additional information

<08> Originality: Presents the first methodology to extract pipeline parallelism from legacy sequential applications. Profiling information replaces conservative static analysis. Pipeline stages are automatically identified and balanced and if safe and profitable replicated, functions split, and data parallel loops parallelised. User only checks final program.

Significance: Pipeline parallelism is at the heart of many streaming, multimedia, cryptographic and compression applications. The parallelisation tools from this research have potential to enhance performance of many applications on current and future multicores.

Rigour: Ideas implemented in commercial CoSy software framework, evaluated against large real-world applications. PACT'10 conference had just 17% acceptance rate.

Interdisciplinary
-
Cross-referral requested
-
Research group
C - Institute for Computing Systems Architecture
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-