International audienceEnergy consumption has become one of the most important parameters in High Performance computing platforms. Fair-share scheduling is a widely used technique in job schedulers to prioritize jobs, depending to past users allocations. In practice this technique is mainly based on CPU-Time usage. Since power is managed as a new type of resources by Slurm and energy consumption can be charged independently, there is a real need for fairness in terms of energy consumption.This presentation will introduce fair-share scheduling based on past energy usage in Slurm. The new technique will allow users that have optimized their codes to be more energy efficient or make better usage of DVFS techniques to improve the stretch times o...
LNCS v. 6595 is conference proceedings of TAPAS 2011This paper considers several online scheduling p...
Les rapports de recherche du LIG - ISSN: 2105-0422Today, most available parallel environments suppor...
The cloud relies on efficient algorithms to find resources for jobs by fulfilling the job's requirem...
International audienceEnergy consumption has become one of the most important parameters in High Per...
International audienceEnergy consumption has become one of the most important factors in High Perfor...
In this paper, we present surplus fair scheduling (SFS), a proportional-share CPU scheduler designed...
AN ABSTRACT OF THE THESIS OF Abdulaziz M. AlNowiser, for the Master of Science degree in Computer Sc...
There exist many compute-intensive soft real-time applications, such as video encoding/decoding and ...
In current scenario, energy consumption, performance and capacity of the main memory system are key ...
Online flow-time scheduling is a fundamental problem in computer science and has been extensively st...
Over the past few decades, increased demand of highly sophisticated real-time applications with comp...
To provide a better understanding of fair share policies supported by current production schedulers ...
In current scenario, energy consumption, performance and capacity of the main memory system are key ...
Grid Computing has emerged as an important new field focusing on resource sharing. One of the most c...
Power consumed by modern computer systems, particularly servers in data centers has almost reached a...
LNCS v. 6595 is conference proceedings of TAPAS 2011This paper considers several online scheduling p...
Les rapports de recherche du LIG - ISSN: 2105-0422Today, most available parallel environments suppor...
The cloud relies on efficient algorithms to find resources for jobs by fulfilling the job's requirem...
International audienceEnergy consumption has become one of the most important parameters in High Per...
International audienceEnergy consumption has become one of the most important factors in High Perfor...
In this paper, we present surplus fair scheduling (SFS), a proportional-share CPU scheduler designed...
AN ABSTRACT OF THE THESIS OF Abdulaziz M. AlNowiser, for the Master of Science degree in Computer Sc...
There exist many compute-intensive soft real-time applications, such as video encoding/decoding and ...
In current scenario, energy consumption, performance and capacity of the main memory system are key ...
Online flow-time scheduling is a fundamental problem in computer science and has been extensively st...
Over the past few decades, increased demand of highly sophisticated real-time applications with comp...
To provide a better understanding of fair share policies supported by current production schedulers ...
In current scenario, energy consumption, performance and capacity of the main memory system are key ...
Grid Computing has emerged as an important new field focusing on resource sharing. One of the most c...
Power consumed by modern computer systems, particularly servers in data centers has almost reached a...
LNCS v. 6595 is conference proceedings of TAPAS 2011This paper considers several online scheduling p...
Les rapports de recherche du LIG - ISSN: 2105-0422Today, most available parallel environments suppor...
The cloud relies on efficient algorithms to find resources for jobs by fulfilling the job's requirem...