The landscape of exascale research: A data-driven literature analysis
S Heldens, P Hijma, BV Werkhoven… - ACM Computing …, 2020 - dl.acm.org
The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …
systems capable of at least one quintillion (billion billion) floating-point operations per …
Bi-objective optimization of data-parallel applications on heterogeneous HPC platforms for performance and energy through workload distribution
Performance and energy are the two most important objectives for optimization on modern
parallel platforms. In this article, we show that moving from single-objective optimization for …
parallel platforms. In this article, we show that moving from single-objective optimization for …
SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving
Energy-efficient computing uses power management techniques such as frequency scaling
to save energy. Implementing energy-efficient techniques on large-scale computing systems …
to save energy. Implementing energy-efficient techniques on large-scale computing systems …
Performance modeling under resource constraints using deep transfer learning
Tuning application parameters for optimal performance is a challenging combinatorial
problem. Hence, techniques for modeling the functional relationships between various input …
problem. Hence, techniques for modeling the functional relationships between various input …
Evaluation of power management control on the supercomputer fugaku
The supercomputer “Fugaku”, which recently ranked number one on multiple
supercomputing lists, including the Top500 in June 2020, has various power control …
supercomputing lists, including the Top500 in June 2020, has various power control …
Uncore power scavenger: A runtime for uncore power conservation on hpc systems
The US Department of Energy (DOE) has set a power target of 20-30MW on the first
exascale machines. To achieve one exaflop under this power constraint, it is necessary to …
exascale machines. To achieve one exaflop under this power constraint, it is necessary to …
An empirical survey of performance and energy efficiency variation on intel processors
Traditional HPC performance and energy characterization approaches assume
homogeneity and predictability in the performance of the target processor platform …
homogeneity and predictability in the performance of the target processor platform …
What does power consumption behavior of hpc jobs reveal?: Demystifying, quantifying, and predicting power consumption characteristics
T Patel, A Wagenhäuser, C Eibel… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
As we approach exascale computing, large-scale HPC systems are becoming increasingly
power-constrained, requiring them to run HPC workloads in an energy-efficient manner. The …
power-constrained, requiring them to run HPC workloads in an energy-efficient manner. The …
Production hardware overprovisioning: Real-world performance optimization using an extensible power-aware resource management framework
Limited power budgets will be one of the biggest challenges for deploying future exascale
supercomputers. One of the promising ways to deal with this challenge is hardware over …
supercomputers. One of the promising ways to deal with this challenge is hardware over …
Power efficient job scheduling by predicting the impact of processor manufacturing variability
Modern CPUs suffer from performance and power consumption variability due to the
manufacturing process. As a result, systems that do not consider such variability caused by …
manufacturing process. As a result, systems that do not consider such variability caused by …