Rodrigo Bruno [curriculum vitae]

Email: rodrigo.bruno a-t inf.ethz.ch

GitHub: rodrigo-bruno

Web: rodrigo-bruno.github.io

Office: Dept. of Computer Science

CAB E75, ETH Zürich

Universitätstrasse 6

8092 Zürich, Switzerland

I am currenty a Postdoc Researcher at the Systems Group in ETH Zurich. Before joining ETH, I did my PhD in Técnico (University of Lisbon) during which I was part of the Distributed Systems Group (INESC-ID Lisboa).

• Research

  My main research focus is on language runtime systems design and implementation. Recently I have been specially interested in optimizing runtimes for cloud environments such as Serverless. In parallel, I also work on Operating Systems, and Parallel and Distrubuted Systems.

• Jobs (PhD and Postdoc positions)

  Contact me if you are interested in doing research in areas related to runtime systems. There often open research positions in ETH Zurich (Systems Group), University of Lisbon (INESC-ID Lisbon), and University of Oslo.

• Publications (also available at Google Scholar)

  • Runtime Object Lifetime Profiler for Latency Sensitive Big Data Applications [Slides] , EuroSys'19, Dresden, 2019

  • novaVM: Enhanced Java Virtual Machine for Big Data Applications, PhD dissertation, Instituto Superior Técnico, Lisbon, 2018

  • Graviton: Trusted Execution Environments on GPUs, OSDI'18, Carlsbad, 2018

  • Dynamic Vertical Memory Scalability for OpenJDK Cloud Applications [Slides], ISMM'18, Philadelphia, 2018

  • POLM2: Automatic Profiling for Object Lifetime-Aware Memory Management for HotSpot Big Data Applications [Slides], Middleware'17, Las Vegas, 2017

  • A study on Garbage Collection Algorithms for Big Data Environments, ACM Computing Surveys, 2017

  • freeCycles - Efficient Multi-Cloud Computing Platform, Journal of Grid Computing, 2017

  • Locality-Aware GC Optimisations for Big Data Workloadser Computing, C&TC 2017, Rhodes, 2017

  • Improving JVM Application Migration and Profiling with Checkpoint/Restore [Slides], Checkpoint-Restore Microconference, LinuxPlumbers 2017, Los Angeles, 2017

  • NG2C: Pretenuring Garbage Collection with Dynamic Generations for HotSpot Big Data Applications [Slides], ISMM'17, Barcelona, 2017

  • ALMA - GC-assisted JVM Live Migration for Java Server Applications [Slides] [Poster], Middleware'16, Trento, 2016

  • NG2C: N-Generational GC for Big Data Memory Management [Slides] [Poster], CloudDP'16, London, 2016

  • Asynchronous Complete Garbage Collection for Graph Data Stores, Middleware'15, Vancouver, 2015

  • Termite: Emulation Testbed for Encounter Networks, MobiQuitous'15, Coimbra, 2015

  • freeCycles: efficient data distribution for volunteer computing, CloudDP'14, Amesterdam, 2014

  • SCADAMAR: scalable and data-efficient internet MapReduce, CCB'14, Bordeaux, 2014

  • freeCycles: Efficient Data Distribution for Volunteer Computing, MSc dissertation, Instituto Superior Técnico, Lisbon, 2014

• Teaching (lab classes)

  • Big Data for Engineers (head TA, 2019/2020, Spring Semester, DINFK, ETH Zurich)

  • Advanced Systems Labs (2019/2020, Fall Semester, DINFK, ETH Zurich)

  • Mobile Computing (2017/2018, 2st Semester, MEIC-A, Técnico)

  • Mobile Computing (2016/2017, 2st Semester, MEIC-T/MERC, Técnico)

  • Mobile Computing (2016/2017, 1st Semester, SISE 3, INESC-ID)

  • Operating Systems (2016/2017, 1st Semester, LEIC-A, Técnico)

  • Mobile Computing (2015/2016, 2nd Semester, SISE 2, INESC-ID)

  • Mobile and Ubiquitous Computing (2015/2016, 2nd Semester, MEIC-T/MERC, Técnico)

  • Mobile Computing (2015/2016, 1st Semester, SISE 1, INESC-ID)

  • Advanced Programming (2014/2015, 2nd Semester, MEIC-A, Técnico)

  • Operating Systems (2014/2015, 1st Semester, LEIC-A, Técnico)

  • Software Engineering (2013/2014, 2nd Semester, LEIC-T/LERC, Técnico)

• Service

• Shadow Program Committee for EuroSys'20

• Paper reivewer for Journal of Science Computier Programming (2019)

• Paper reivewer for Journal of Grid Computing (2019)

• Mentoring (MSc and PhD)

• Carlos Oliveira, A Performance Comparison of Modern Garbage Collectors for Big Data Environments (ongoing), MSc in Técnico, ULisboa

• Fernando Moreira, Termite – Supporting Encounter Based Apps (ongoing), MSc in Técnico, ULisboa

• Domantas Lionas, Garbage Collection for the Graal Virtual Machine, MSc in University of Oslo (ongoing)

• Sanaz Tavakoli, Garbage Collection for Modern JVMs, PhD in University of Oslo (ongoing)

• Opensource projects I recently contributed:

• OpenJDK HotSpot JVM (NG2C, POLM2, ROLP, VJVM)

• CRIU (implemented checkpoit/restore through the network)

• V8 (implemented external memory accounting during a Google Internship)

• MATSim (currently working on HPC simulations)

• Graal Native Image (currently working on memory compression)

• Dora (minor contribution to implement a bytecode generator)

• Academic & Professional Background

  • 2018

    • Joined the ETHZ Systems Group as a Postdoc researcher;

    • PhD in Information Systems and Computer Engineering from IST. Final grade: Pass with Distiction and Honour.

      Final thesis: "novaVM: Enhanced Java Virtual Machine for Big Data Applications", advided by Prof. Paulo Ferreira;

    • Three month intership at Google (Munich Office) on External Memory Accounting for the V8 Javascript Engine;

  • 2017

    • Three month collaboration with Jelastic cloud provider on Aggressive Heap Resizing for OpenJDK HotSpot JVM;

    • Three month intership at Microsoft Research Cambridge on Secure Accelarators;

  • 2016

    • Three month collaboration with Feedzai (start-up company that fights online credit fraud) on Tail latencies of Big Data platforms;

  • 2014

    • MSc in Information Systems and Computer Engineering from IST. Final degree average of 18 (out of 20).

      Final thesis: "freeCycles: Efficient Data Distribution for Volunteer Computing", advided by Prof. Paulo Ferreira;

  • 2013

    • Joined RNL administration team;

  • 2012

    • BSc in Information Systems and Computer Engineering from IST. Final degree average of 17 (out of 20);

  • 2011

    • Summer internship at INESD-ID under the supervision of Prof. David Matos;

    • Member of the organizing committee of SINFO XIX;

  • 2009

    • Under graduation from Escola Jerónimo Emiliano de Andrade (EJEA). Final degree average of 18 (out of 20);

• Awards & Mentions

  • Invited and attended the Google PhD Internal Research Conference 2019;

  • Awarded the "excellence" grade for teaching Mobile Computing (2017/2018, 2º Semester, MEIC-A);

  • Awarded 2nd place in the Fraunhofer Portugal Challenge 2018 in the PhD category;

  • Awarded the Doctoral Student Merit Award 2017 by the Distributed Systems Group at INESC-ID Lisboa;

  • Invited and attended the Google PhD Internal Research Conference 2018;

  • Awarded the "excellence" grade for teaching Operating Systems (2016/2017, 1º Semester, LEIC-A);

  • Invited and attended the Google Compiler and Programming Language Summit 2017;

  • Research work mentioned in Reducing Memory Usage to Speed Up Live Migration;

  • Awarded the "excellence" grade for teaching Operating Systems (2014/2015, 1º Semester, LEIC-A);

  • Invited submission to the Journal of Internet Services and Applications (JISA) by CCB'14 organizing committee;

  • Merit Award from EJEA, given to the top three students finishing under graduate degree;