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Roberto Rocco

Ph.D. Student

Politecnico di Milano

He received his M.Sc. degree in Computer Science Engineering in 2020 from Politecnico di Milano, Italy. He is currently a Ph.D. candidate at the Department of Electronics, Information, and Bioengineering at the same University. His research interests include fault tolerance and software adaptivity in HPC, focusing on the autotuning scenario.

Latest

  • Efficient parameter tuning for a structure-based virtual screening HPC application
  • A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach
  • An overview of the Legio fault resilience framework for MPI applications
  • Extending the Legio Resilience Framework to Handle Critical Process Failures in MPI
  • Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems
  • Exploit Approximation to Support Fault Resiliency in MPI-based Applications
  • Fault Awareness in the MPI 4.0 Session Model
  • Fault-Aware Group-Collective Communication Creation and Repair in MPI
  • The Legio Fault Resilience Framework: Design and Rationale
  • The mARGOt autotuning framework design and improvements
  • Legio: fault resiliency for embarrassingly parallel MPI applications

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