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Giorgis Georgakoudis
Researcher at Lawrence Livermore National Laboratory
Publications - Â 45
Citations - Â 252
Giorgis Georgakoudis is an academic researcher from Lawrence Livermore National Laboratory. The author has contributed to research in topics: Computer science & Compiler. The author has an hindex of 7, co-authored 36 publications receiving 155 citations. Previous affiliations of Giorgis Georgakoudis include University of Thessaly & Queen's University Belfast.
Papers
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Proceedings ArticleDOI
REFINE: realistic fault injection via compiler-based instrumentation for accuracy, portability and speed
TL;DR: REFINE, a novel framework that addresses limitations of current practices in compiler-based FI and how they impact the interpretation of results in resilience studies, is proposed, providing the portability and efficiency of compiler- based FI, while keeping accuracy comparable to binary-level FI methods.
Book ChapterDOI
Application-Level Energy Awareness for OpenMP
Ferdinando Alessi,Peter Thoman,Giorgis Georgakoudis,Thomas Fahringer,Dimitrios S. Nikolopoulos +4 more
TL;DR: This work introduces OpenMPE, an extension to OpenMP designed for power management, which exposes per-region multi-objective optimization hints and application-level adaptation parameters in order to create energy-saving opportunities for the whole system stack.
Book ChapterDOI
Middleware mechanisms for agent mobility in wireless sensor and actuator networks
Nikos Tziritas,Nikos Tziritas,Giorgis Georgakoudis,Spyros Lalis,Tomasz Paczesny,Jaroslaw Domaszewicz,Petros Lampsas,Thanasis Loukopoulos +7 more
TL;DR: The paper presents the design of the mechanisms and protocols employed to instantiate agents on nodes and to move agents between nodes, and gives an evaluation of a middleware prototype running on Imote2 nodes that communicate over ZigBee.
Book ChapterDOI
Reinit\(^{++}\): Evaluating the Performance of Global-Restart Recovery Methods for MPI Fault Tolerance
TL;DR: In this article, the authors present a technique to make applications resilient through checkpointing data and restarting execution after a failure occurs to resume from the latest checkpoint, but re-deploying an application incurs overhead by tearing down and re-instating execution and possibly limiting checkpointing retrieval from slow permanent storage.
Proceedings ArticleDOI
HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis
Konstantinos Parasyris,Ignacio Laguna,Harshitha Menon,Markus Schordan,Daniel Osei-Kuffuor,Giorgis Georgakoudis,Michael O. Lam,Tristan Vanderbruggen +7 more
TL;DR: This work proposes HPC-MixPBench, a benchmark suite consisting of a representative set of kernels and benchmarks that are widely used in HPC domain and envision that this benchmark suite will evolve into a standard set of HPC benchmarks for comparing different approximate computing techniques.