Hemera:SC: Difference between revisions
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** '''[[Hemera:SC:COPs|Large Scale Computing for Combinatorial Optimization Problems]]''' -- Bilel Derbel (DOLPHIN), Nouredine Melab (DOLPHIN) | ** '''[[Hemera:SC:COPs|Large Scale Computing for Combinatorial Optimization Problems]]''' -- Bilel Derbel (DOLPHIN), Nouredine Melab (DOLPHIN) | ||
** '''[[Hemera:SC:MapRed|Scalable Distributed Processing Using the MapReduce Paradigm]]''' -- Gabriel Antoniu (KERDATA), Gilles Fedak (GRAAL) | ** '''[[Hemera:SC:MapRed|Scalable Distributed Processing Using the MapReduce Paradigm]]''' -- Gabriel Antoniu (KERDATA), Gilles Fedak (GRAAL) | ||
** '''[[Hemera:SC:Analytics|Big Data Analytics]]''' -- Reza Akbarinia (Zenith) | ** '''[[Hemera:SC:Analytics|Big Data Analytics]]''' -- Reza Akbarinia (Zenith), Florent Masseglia (Zenith) and Patrick Valduriez (Zenith) | ||
** '''[[Hemera:SC:TripleStore|Evaluating the performance of large-scale triplestores with Big Linked Datasets]]''' -- CEDAR. | ** '''[[Hemera:SC:TripleStore|Evaluating the performance of large-scale triplestores with Big Linked Datasets]]''' -- CEDAR. | ||
** '''[[ Hemera:SC:L2C exp |Low Level Component Model Enabling Performance Portability of HPC Applications]]''' -- Christian Perez (Avalon) | ** '''[[ Hemera:SC:L2C exp |Low Level Component Model Enabling Performance Portability of HPC Applications]]''' -- Christian Perez (Avalon) | ||
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<!-- [[Hemera:SC_Matrix|Matrix]] of participation in scientific challenges. --> | <!-- [[Hemera:SC_Matrix|Matrix]] of participation in scientific challenges. --> | ||
Latest revision as of 10:45, 8 December 2014
Scientific Challenges
Scientific challenges concentrate effort of some partners on well defined issues, such as a particular experiment on Grid’5000. Scientific challenges are expected to be bound in time. However, a scientific challenge may contain several sub-challenges, typically representing various steps toward the ultimate challenges.
- Network
- Traffic Awareness -- Paulo Gonçalves (RESO), K. Avrachenkov (MAESTRO)
- System
- Energy Profiling of Large Scale Applications -- Laurent Lefèvre (AVALON), Jean-Marc Pierson (IRIT), Jean-Marc Menaud (ASCOLA)
- Robustness of Large Systems in Presence of High Churn -- Pierre Sens (REGAL), Jean-Marc Vincent (MESCAL)
- Orchestrating Experiments on the gLite Production Grid Middleware -- Lucas Nussbaum (ALGORILLE), Frédéric Suter (CC IN2P3).
- OpenStack on Grid'5000 -- Lucas Nussbaum.
- Large Scale Management of Virtual Machines -- Adrien Lèbre (ASCOLA)
- I/O and in-situ Visulization for HPC -- Gabriel Antoniu (KerData).
- Programming Paradigm
- Large Scale Computing for Combinatorial Optimization Problems -- Bilel Derbel (DOLPHIN), Nouredine Melab (DOLPHIN)
- Scalable Distributed Processing Using the MapReduce Paradigm -- Gabriel Antoniu (KERDATA), Gilles Fedak (GRAAL)
- Big Data Analytics -- Reza Akbarinia (Zenith), Florent Masseglia (Zenith) and Patrick Valduriez (Zenith)
- Evaluating the performance of large-scale triplestores with Big Linked Datasets -- CEDAR.
- Low Level Component Model Enabling Performance Portability of HPC Applications -- Christian Perez (Avalon)
- Domain Specific
- Thinking GRID for Electromagnetic Simulation of Oversized Structures -- Hervé Aubert (MINC-LAAS), Thierry Monteil (MRS-LAAS), Patricia Stolf (ASTRE-IRIT)
- Multi-parametric Intensive Stochastic Simulations for Hydrogeology -- Jocelyne Erhel (SAGE)