Sequence optimizations in a high-performance computing environment
Abstract
Embodiments are directed to techniques to determine dataflow graph instructions comprising one or more pick/switch instruction pairs and generate a reverse static single assignment graph based on the dataflow graph instructions, the reverse static single assignment graph comprising strongly connected components, each of the strongly connected components associated with at least one of the one or more pick/switch instruction pairs. Embodiments also include traversing the reverse static single assignment graph depth-first, and replace pick/switch instructions associated with strongly connected components having configuration values with compound instructions.
- Inventors:
- Issue Date:
- Research Org.:
- Intel Corp., Santa Clara, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1735264
- Patent Number(s):
- 10776087
- Application Number:
- 16/017,000
- Assignee:
- Intel Corporation (Santa Clara, CA)
- DOE Contract Number:
- H98230-13-D-0124
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 06/25/2018
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Zhang, Yongzhi. Sequence optimizations in a high-performance computing environment. United States: N. p., 2020.
Web.
Zhang, Yongzhi. Sequence optimizations in a high-performance computing environment. United States.
Zhang, Yongzhi. Tue .
"Sequence optimizations in a high-performance computing environment". United States. https://www.osti.gov/servlets/purl/1735264.
@article{osti_1735264,
title = {Sequence optimizations in a high-performance computing environment},
author = {Zhang, Yongzhi},
abstractNote = {Embodiments are directed to techniques to determine dataflow graph instructions comprising one or more pick/switch instruction pairs and generate a reverse static single assignment graph based on the dataflow graph instructions, the reverse static single assignment graph comprising strongly connected components, each of the strongly connected components associated with at least one of the one or more pick/switch instruction pairs. Embodiments also include traversing the reverse static single assignment graph depth-first, and replace pick/switch instructions associated with strongly connected components having configuration values with compound instructions.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {9}
}
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