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Fine-grained energy efficiency using per-core dvfs with an adaptive runtime system
Dynamic voltage and frequency scaling (DVFS) is a well-known technique to reduce the
power and/or energy consumption of various applications. While most processors provide …
power and/or energy consumption of various applications. While most processors provide …
Auto tuning for openmp dynamic scheduling applied to fwi
Because Full Waveform Inversion (FWI) works with a massive amount of data, its execution
requires much time and computational resources, being restricted to large-scale computer …
requires much time and computational resources, being restricted to large-scale computer …
[PDF][PDF] A taxonomy of schedulers–operating systems, clusters and big data frameworks
This review analyzes deployed and actively used workload schedulers' solutions and
presents a taxonomy in which those systems are divided into several hierarchical groups …
presents a taxonomy in which those systems are divided into several hierarchical groups …
Distributed-memory load balancing with cyclic token-based work-stealing applied to reverse time migration
Reverse time migration (RTM) is a prominent technique in seismic imaging. Its resulting
subsurface images are used in the industry to investigate with higher confidence the …
subsurface images are used in the industry to investigate with higher confidence the …
Managing power demand and load imbalance to save energy on systems with heterogeneous CPU speeds
Different simulations of real problems have been executed in High Performance Computing
systems. However, the power consumption of these systems is an increasing concern once …
systems. However, the power consumption of these systems is an increasing concern once …
Auto-tuning of dynamic scheduling applied to 3D reverse time migration on multicore systems
Reverse time migration (RTM) is an algorithm widely used in the oil and gas industry to
process seismic data. It is a computationally intensive task that suits well in parallel …
process seismic data. It is a computationally intensive task that suits well in parallel …
Exploration of load balancing thresholds to save energy on iterative applications
The power consumption of High Performance Computing systems is an increasing concern
as large-scale systems grow in size and, consequently, consume more energy. In response …
as large-scale systems grow in size and, consequently, consume more energy. In response …
Modeling, prediction and optimization of energy consumption of MPI applications using SimGrid
F Heinrich - 2019 - theses.hal.science
The High-Performance Computing (HPC) community is currently undergoingdisruptive
technology changes in almost all fields, including a switch towardsmassive parallelism with …
technology changes in almost all fields, including a switch towardsmassive parallelism with …
Energy efficient dynamic load balancing over multigpu heterogeneous systems
Current HPC technologies demand high amounts of power and energy to achieve good
performances. In order to address the next milestone in peak power, powerful graphic …
performances. In order to address the next milestone in peak power, powerful graphic …
Computation-aware dynamic frequency scaling: Parsimonious evaluation of the time-energy trade-off using design of experiments
A promising approach to improve the energy-efficiency of HPC applications is to apply
energy-saving techniques for different code regions according to their characteristics …
energy-saving techniques for different code regions according to their characteristics …