Power capping is an important solution to keep the system within a fixed power constraint. However, for the over-provisioned and power-constrained systems, especially the future exascale supercomputers, powercap needs to be reasonably allocated according to the workloads of compute nodes to achieve trade-offs among performance, energy and powercap. Thus it is necessary to model performance and energy and to predict the optimal powercap allocation strategies. Existing power allocation approaches have insufficient granularity within nodes. Modeling approaches usually model performance and energy separately, ignoring the correlation between objectives, and do not expose the Pareto-optimal powercap configurations. Therefore, this article combin...
As the field of supercomputing continues its relentless push towards greater speeds and higher level...
Energy optimization is an increasingly important aspect of today's high-performance computing applic...
Keeping energy costs in budget and operating within available capacities of power distribu-tion and ...
To improve the power consumption of parallel applications at the runtime, modern processors provide ...
Energy and power are the main design constraints for modern high-performance computing systems. Inde...
As we approach exascale systems, power is turning from an optimization goal to a critical operating ...
Power and energy is the first-class design constraint for multi-core processors and is a limiting fa...
Energy consumption has become a core concern in computing systems. In this context, power capping is...
Supercomputer installed capacity worldwide increased for many years and further growth is expected i...
Diminishing performance returns and increasing power consumption of single-threaded processors have ...
The objective of the proposed research is to create a methodology for the modeling and characterizat...
Power consumption is a critical aspect for next generation High Performance Computing systems: Super...
Power constraint has become arguably the biggest obstacle for the performance scaling of computing m...
Maximizing performance in power-constrained computing environments is highly important in cloud and ...
Rising power costs and constraints are driving a growing focus on the energy efficiency of high perf...
As the field of supercomputing continues its relentless push towards greater speeds and higher level...
Energy optimization is an increasingly important aspect of today's high-performance computing applic...
Keeping energy costs in budget and operating within available capacities of power distribu-tion and ...
To improve the power consumption of parallel applications at the runtime, modern processors provide ...
Energy and power are the main design constraints for modern high-performance computing systems. Inde...
As we approach exascale systems, power is turning from an optimization goal to a critical operating ...
Power and energy is the first-class design constraint for multi-core processors and is a limiting fa...
Energy consumption has become a core concern in computing systems. In this context, power capping is...
Supercomputer installed capacity worldwide increased for many years and further growth is expected i...
Diminishing performance returns and increasing power consumption of single-threaded processors have ...
The objective of the proposed research is to create a methodology for the modeling and characterizat...
Power consumption is a critical aspect for next generation High Performance Computing systems: Super...
Power constraint has become arguably the biggest obstacle for the performance scaling of computing m...
Maximizing performance in power-constrained computing environments is highly important in cloud and ...
Rising power costs and constraints are driving a growing focus on the energy efficiency of high perf...
As the field of supercomputing continues its relentless push towards greater speeds and higher level...
Energy optimization is an increasingly important aspect of today's high-performance computing applic...
Keeping energy costs in budget and operating within available capacities of power distribu-tion and ...