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Providing better abstraction and modular support at language-level for applications in scientific computing domain(2/2)
莊, 永裕
(PI)
Department of Computer Science and Information Engineering
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/11/17
→
31/07/18
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Automation
Engineering & Materials Science
100%
Functional programming
Engineering & Materials Science
86%
Computer programming
Engineering & Materials Science
69%
Semantics
Engineering & Materials Science
44%
Research output
Research output per year
2019
2019
2019
1
Article
Research output per year
Research output per year
A lightweight push-pull mechanism for implicitly using signals in imperative programming
Zhuang, Y. Y.
,
Oct 2019
,
In:
Journal of Computer Languages.
54
, 100903.
Research output
:
Contribution to journal
›
Article
›
peer-review
Automation
100%
Functional programming
86%
Computer programming
69%
Semantics
44%
4
Scopus citations