Add to ORKGAbstract—The power consumption of a large scale system ultimately limits its performance. Consuming less energy while preserving performance leads to better system utilization at scale. The iso-energy-efficiency model was proposed as a metric and methodology for explaining power and performance efficiency on scalable systems. For use in practice, we need to determine what parameters should be modified to maintain a desired efficiency. Unfortunately, without extension, the iso-energy-efficiency model cannot be used for this purpose. In this paper we extend the iso-energy-efficiency model to identify ap-propriate efficiency values for workload and power scaling on clusters. We propose the use of “correlation functions ” to quan-titatively exp...
With the breakdown of Dennard Scaling and Moore's law, power consumption appears to be a primary cha...
In this paper, we propose a model for the energy consumption of the concurrent execution of three ke...
Sparse and irregular computations constitute a large fraction of applications in the data-intensive ...
Future large scale high performance supercomputer systems require high energy efficiency to achieve ...
Future large scale high performance supercomputer systems require high energy efficiency to achieve ...
For many applications, speedup saturates and parallel efficiency decreases if the problem size is he...
For many applications, speedup saturates and parallel efficiency decreases if the problem size is he...
Energy consumption by computer systems has emerged as an important concern, both at the level of ind...
Energy consumption is one of the main limiting factors for the design of ultrascale infrastructures....
Energy efficiency is a major concern in modern high-performance computing system design. In the past...
Ever-growing performance of supercomputers nowadays brings demanding requirements of energy efficien...
Energy costs nowadays represent a significant share of the total costs of ownership of High Performa...
Abstract. Power consumption and energy efficiency have become a ma-jor bottleneck in the design of n...
Energy efficiency has become increasingly important in high performance computing (HPC), as power co...
The ever-increasing ecological footprint of Information Technology (IT) sector coupled with adverse ...
With the breakdown of Dennard Scaling and Moore's law, power consumption appears to be a primary cha...
In this paper, we propose a model for the energy consumption of the concurrent execution of three ke...
Sparse and irregular computations constitute a large fraction of applications in the data-intensive ...
Future large scale high performance supercomputer systems require high energy efficiency to achieve ...
Future large scale high performance supercomputer systems require high energy efficiency to achieve ...
For many applications, speedup saturates and parallel efficiency decreases if the problem size is he...
For many applications, speedup saturates and parallel efficiency decreases if the problem size is he...
Energy consumption by computer systems has emerged as an important concern, both at the level of ind...
Energy consumption is one of the main limiting factors for the design of ultrascale infrastructures....
Energy efficiency is a major concern in modern high-performance computing system design. In the past...
Ever-growing performance of supercomputers nowadays brings demanding requirements of energy efficien...
Energy costs nowadays represent a significant share of the total costs of ownership of High Performa...
Abstract. Power consumption and energy efficiency have become a ma-jor bottleneck in the design of n...
Energy efficiency has become increasingly important in high performance computing (HPC), as power co...
The ever-increasing ecological footprint of Information Technology (IT) sector coupled with adverse ...
With the breakdown of Dennard Scaling and Moore's law, power consumption appears to be a primary cha...
In this paper, we propose a model for the energy consumption of the concurrent execution of three ke...
Sparse and irregular computations constitute a large fraction of applications in the data-intensive ...