Eduardo RosalesI am a PhD student at the Faculty of Informatics of Università della Svizzera italiana (USI) in Lugano, Switzerland. I'm working in the Dynamic Analysis Group (DAG). My research interests include cluster/grid/cloud computing, program analysis, and concurrent and parallel programming. I received an MSc from Universidad de los Andes and a BSc in Systems and Computer Engineering from Universidad Católica de Colombia. |
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Personal Information
- Email: rosale [at] usi [dot] ch
- Profiles: DBLP, ResearchGate, Google Scholar, LinkedIn
- Address: Università della Svizzera italiana, Faculty of Informatics, Office SI-205, Via Giuseppe Buffi 13, CH-6904 Lugano, Switzerland.
Recent Publications
- Accurate Fork-join Profiling on the Java Virtual Machine. [accepted paper]
Matteo Basso, Eduardo Rosales, Filippo Schiavio, Andrea Rosà and Walter Binder.
To be presented at EUROPAR 2022. - Characterizing Java Streams in the Wild. [to be published]
Eduardo Rosales, Matteo Basso, Andrea Rosà, Walter Binder.
Presented at ICECCS 2022. - A Linux Scheduler to Limit the Slowdown Generated by Volunteer Computing Systems. [DOI]
Jaime Chavarriaga, Antonio de la Vega, Eduardo Rosales, Harold Castro.
Presented at ICAI 2020. - Analysis and Optimization of Task Granularity on the Java Virtual Machine. [DOI]
Andrea Rosà, Eduardo Rosales, Walter Binder.
ACM Trans. Program. Lang. Syst. 2019. - NAB: Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild. [DOI]
Alex Villazón, Haiyang Sun, Andrea Rosà, Eduardo Rosales, Daniele Bonetta, Isabella Defilippis, Sergio Oporto, Walter Binder.
Presented at ECOOP 2019. - Analyzing and Optimizing Task Granularity on the JVM [DOI]
Andrea Rosà, Eduardo Rosales, Walter Binder.
Presented at CGO 2018. - Accurate Reification of Complete Supertype Information for Dynamic Analysis on the JVM [DOI]
Andrea Rosà, Eduardo Rosales, Walter Binder.
ACM SIGPLAN Notices, 52(12):104-116, Dec. 2017. Presented at GPCE 2017. - tgp: A Task-Granularity Profiler for the Java Virtual Machine [DOI]
Eduardo Rosales, Andrea Rosà, Walter Binder.
Presented at APSEC 2017.