Energy and power aware job scheduling and resource management: Global survey—initial analysis
This work describes the motivation and methodology of a first-of-its-kind global survey of
HPC centers actively employing Energy and Power Aware Scheduling and Resource …
HPC centers actively employing Energy and Power Aware Scheduling and Resource …
Towards energy budget control in HPC
Energy consumption has become one of the mostcritical issues in the evolution of High
Performance Computingsystems (HPC). Controlling the energy consumption of …
Performance Computingsystems (HPC). Controlling the energy consumption of …
Power aware high performance computing: Challenges and opportunities for application and system developers—Survey & tutorial
Power and energy consumption are seen of one of the most critical design factor for any next
generation large-scale HPC system. The price centers have to pay for energy is shifting the …
generation large-scale HPC system. The price centers have to pay for energy is shifting the …
Global experiences with HPC operational data measurement, collection and analysis
As we move into the exascale era, supercomputers grow larger, denser, more
heterogeneous, and ever more complex. Operating such machines reliably and efficiently …
heterogeneous, and ever more complex. Operating such machines reliably and efficiently …
Comparing gpu power and frequency cap**: A case study with the mummi workflow
Accomplishing the goal of exascale computing under a potential power limit requires HPC
clusters to maximize both parallel efficiency and power efficiency. As modern HPC systems …
clusters to maximize both parallel efficiency and power efficiency. As modern HPC systems …
ECP software technology capability assessment report
The Exascale Computing Project (ECP) Software Technology (ST) Focus Area is
responsible for develo** critical software capabilities that will enable successful execution …
responsible for develo** critical software capabilities that will enable successful execution …
A novel approach for job scheduling optimizations under power cap for arm and intel hpc systems
The ever-increasing energy demands of modern High Performance Computing (HPC)
platforms is undeniably one of the most critical aspects for the future design and evolution of …
platforms is undeniably one of the most critical aspects for the future design and evolution of …
A unified platform for exploring power management strategies
Power is quickly becoming a first class resource management concern in HPC. Upcoming
HPC systems will likely be hardware over-provisioned, which will require enhanced power …
HPC systems will likely be hardware over-provisioned, which will require enhanced power …
DRLCap: Runtime GPU Frequency Cap** with Deep Reinforcement Learning
Power and energy consumption is the limiting factor of modern computing systems. As the
GPU becomes a mainstream computing device, power management for GPUs becomes …
GPU becomes a mainstream computing device, power management for GPUs becomes …
Monitoring large scale supercomputers: A case study with the lassen supercomputer
Scalable management of user workloads on large-scale supercomputers remains a
challenge due to the tradeoff between capturing adequate detail for analysis from various …
challenge due to the tradeoff between capturing adequate detail for analysis from various …