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Roberto Gioiosa

High Performance Computing
Pacific Northwest National Laboratory
PO Box 999
MSIN: J4-30
Richland, WA 99352


Dr. Gioiosa is currently a research scientist at Pacific Northwest National Laboratory in the High Performance Computing group (Computational Science and Mathematics Division).

Roberto received his Ph.D. on "High performance computing clusters" from the University of Rome "Tor Vergata" in 2006. Prior to coming to PNNL, he was graduate student at Los Alamos National Laboratory (LANL) from April 2004 to June 2005, working on High Performance Computing (fault tolerance and performance analysis) in the context of the PERCS project. Roberto worked at BSC as post-doc in 2006-2008 and 2009-2012; at BSC he worked on Operating Systems for High Performance Computing systems and optimization for future processor architectures and was involved in several projects with IBM, SUN, the European Union and the European Space Agency. From September 2008 to September 2009 he was post-doc at IBM TJ Watson Research center, in the BlueGene system software group, where he worked on the operating system for next generation of supercomputers BG/Q.

Research Interests

  • High performance computing
  • system software (operating and runtime systems)
  • computer architecture
  • performance analysis of parallel applications
  • power and resiliency analysis

PNNL Publications


  • Kestor G, R Gioiosa, O Unsal, A Cristal, and M Valero. 2012. "Enhancing the Performance of Assisted Execution Runtime Systems through Hardware/Software Techniques." In Proceedings of the 26th ACM International Conference on Supercomputing (ICS 2012), June 25-29, 2012, Venice, Italy, pp. 153-162.  Association for Computing Machinery, New York, NY.  doi:10.1145/2304576.2304598
  • Jimenez V, R Gioiosa, F Cazorla, A Buyuktosunoglu, P Bose, and F OConnell. 2012. "Making Data Prefetch Smarter: Adaptive Prefetching on POWER7." In Proceedings of the 21st International Conference on Parallel Architectures and Compilation Techniques (PACT 2012), September 19-23, Minneapolis, Minnesota, pp. 137-146.  Association for Computing Machinery, New York, NY.  doi:10.1145/2370816.2370837

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