Zhen Li

Affiliations:
  • Darmstadt University of Technology, Germany (PhD 2016)


According to our database1, Zhen Li authored at least 11 papers between 2013 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
Parallelizing Audio Analysis Applications - A Case Study.
Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training Track, 2017

2016
Discovery of Potential Parallelism in Sequential Programs = Entdeckung von potentieller Parallelität in sequentiellen Programmen.
PhD thesis, 2016

Unveiling parallelization opportunities in sequential programs.
J. Syst. Softw., 2016

Improving Performance of Transactional Applications through Adaptive Transactional Memory.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2015
An Efficient Data-Dependence Profiler for Sequential and Parallel Programs.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Automatic Optimization of Software Transactional Memory Through Linear Regression and Decision Tree.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Beyond Data Parallelism: Identifying Parallel Tasks in Sequential Programs.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Fast Data-Dependence Profiling by Skipping Repeatedly Executed Memory Operations.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Dependence-Based Code Transformation for Coarse-Grained Parallelism.
Proceedings of the 2015 International Workshop on Code Optimisation for Multi and Many Cores, 2015

2013
Discovery of Potential Parallelism in Sequential Programs.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

Predicting Parallelization of Sequential Programs Using Supervised Learning.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013


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