Millian Poquet

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Abstract. As large scale computation systems are growing to exascale, Resources and Jobs Management Systems (RJMS) need to evolve to manage this scale modification. However, their study is problematic since they are critical production systems, where experimenting is extremely costly due to downtime and energy costs. Meanwhile, many scheduling algorithms(More)
It is well-known that taking into account communications while scheduling jobs in large scale parallel computing platforms is a crucial issue. In modern hierarchical platforms, communication times are highly different when occurring inside a cluster or between clusters. Thus, allocating the jobs taking into account locality constraints is a key factor for(More)
Energy consumption has become one of the mostcritical issues in the evolution of High Performance Computingsystems (HPC). Controlling the energy consumption of HPCplatforms is not only a way to control the cost but also a stepforward on the road towards exaflops. Powercapping is a widelystudied technique that guarantees that the platform will notexceed a(More)
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