International audienceThe power consumption of the High Performance Computing (HPC) systems is an increasing concern as large-scale systems grow in size and, consequently, consume more energy. In response to this challenge, we have develop and evaluate new energy-aware load balancers to reduce the average power demand and save energy of parallel systems when scientific applications with imbalanced load are executed. Our load balancers combine dynamic load balancing with DVFS techniques in order to reduce the clock frequency of underloaded computing cores which experience some residual imbalance even after tasks are remapped. The results show that our load balancers present power reductions of 7.5% in average with the fine-grained variant th...
Being on the verge of exascale performance has shifted the prioritization of performance in applicat...
Load imbalance cause significant performance degradation in High Performance Computing applications....
Scientific applications are large, complex, irregular, and computationally intensive and are charact...
International audienceThe power consumption of the High Performance Computing (HPC) systems is an in...
International audienceIn high-performance computing, the application's workload must be evenly balan...
High performance parallel and distributed computing systems are used to solve large, complex, and da...
International audienceThe power consumption of the High Performance Computing (HPC) systems is an in...
Parallel applications are highly irregular and high performance computing (HPC) infrastructures are ...
Parallel applications are highly irregular and high performance computing (HPC) infrastructures are ...
Load imbalance is a serious impediment to achieving good performance in parallel processing. Global ...
Scientific applications are often complex, irregular, and computationally-intensive. To accommodate ...
International audienceNowadays shared memory HPC platforms expose a large number of cores organized ...
National audienceWorkload-aware loop schedulers were introduced to deliver better performance than c...
Scientific applications often contain large and computationally- intensive parallel loops. Dynamic l...
Funder: FP7 People: Marie‐Curie Actions; Id: http://dx.doi.org/10.13039/100011264; Grant(s): 327744S...
Being on the verge of exascale performance has shifted the prioritization of performance in applicat...
Load imbalance cause significant performance degradation in High Performance Computing applications....
Scientific applications are large, complex, irregular, and computationally intensive and are charact...
International audienceThe power consumption of the High Performance Computing (HPC) systems is an in...
International audienceIn high-performance computing, the application's workload must be evenly balan...
High performance parallel and distributed computing systems are used to solve large, complex, and da...
International audienceThe power consumption of the High Performance Computing (HPC) systems is an in...
Parallel applications are highly irregular and high performance computing (HPC) infrastructures are ...
Parallel applications are highly irregular and high performance computing (HPC) infrastructures are ...
Load imbalance is a serious impediment to achieving good performance in parallel processing. Global ...
Scientific applications are often complex, irregular, and computationally-intensive. To accommodate ...
International audienceNowadays shared memory HPC platforms expose a large number of cores organized ...
National audienceWorkload-aware loop schedulers were introduced to deliver better performance than c...
Scientific applications often contain large and computationally- intensive parallel loops. Dynamic l...
Funder: FP7 People: Marie‐Curie Actions; Id: http://dx.doi.org/10.13039/100011264; Grant(s): 327744S...
Being on the verge of exascale performance has shifted the prioritization of performance in applicat...
Load imbalance cause significant performance degradation in High Performance Computing applications....
Scientific applications are large, complex, irregular, and computationally intensive and are charact...