Automatic microbenchmark generation to prevent dead code elimination and constant folding-Reference-Cited by-同舟云学术

Automatic microbenchmark generation to prevent dead code elimination and constant folding

Published:2016-08-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering
language:
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Author:

Rodriguez-Cancio Marcelino¹,Combemale Benoit²,Baudry Benoit³

Affiliation:

1. University of Rennes 1, France

2. University of Rennes 1, France / INRIA, France

3. INRIA, France

Funder

European Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2970276.2970346

Reference38 articles.

1. Aleksey Shipilev. Java Microbenchmarks Harness (the lesser of two evils). http://shipilev.net/talks/ devoxx-Nov2013-benchmarking.pdf 2013. Aleksey Shipilev. Java Microbenchmarks Harness (the lesser of two evils). http://shipilev.net/talks/ devoxx-Nov2013-benchmarking.pdf 2013.

2. Aleksey Shipilev. Java Benchmarking as easy as two timestamps. http://shipilev.net/talks/ jvmls-July2014-benchmarking.pdf July 2014. Aleksey Shipilev. Java Benchmarking as easy as two timestamps. http://shipilev.net/talks/ jvmls-July2014-benchmarking.pdf July 2014.

3. Aleksey Shipilev. Nanotrusting the nanotime. http://shipilev.net/blog/2014/nanotrusting-nanotime Oct. 2014. Aleksey Shipilev. Nanotrusting the nanotime. http://shipilev.net/blog/2014/nanotrusting-nanotime Oct. 2014.

4. Aleksey Shipilev. The Black Magic of (Java) Method Dispatch. http://shipilev.net/blog/2015/ black-magic-method-dispatch/ 2015. Aleksey Shipilev. The Black Magic of (Java) Method Dispatch. http://shipilev.net/blog/2015/ black-magic-method-dispatch/ 2015.

5. Performance analysis of idle programs

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