Distributed Grid computing Manager covering Waste Heat Reuse Constraints
Rémi Bouzel1, Yanik Ngoko2, Paul Benoit3 and Nicolas Sainthérant4
1QLab Qarnot computing Montrouge, France
remi.bouzel@qarnot-computing.com
2R&D Qarnot computing Montrouge, France
yanik.ngoko@qarnotcomputing.com
3CEO Qarnot computing Montrouge, France
cpaul.benoit@qarnot-computing.com
4Innovation Qarnot computing Montrouge, France
cnicolas.saintherant@qarnotcomputing.com
ABSTRACT
In this paper, we discuss a green and distributed type of datacenters, implemented by Qarnot computing. This approach promotes a new computing paradigm in which computers are considered as machines that produce both computation and heat, and are therefore able to reuse the waste heat generated. It is based on two main technologies: a new model of servers and a new distributed grid computing manager which encloses a heat aware job scheduler. This paper focuses on the infrastructures and cloud computing services that were developed to answer the constraints of this new HPC paradigm. The description covers the job scheduler that ensures security and resilience of Qarnot distributed computing resources in a non-regulated environment. We summarize the key computational challenges met and the strategies developed to solve them. A specific use case is detailed to show that, in spite of its thermal-aware specificity, spawning a job on the Qarnot platform remains as simple as on any other state-of-the-art job scheduler.
Keywords: Green HPC, Job Scheduler, Edge Computing, Heating as a Service, Resource Manager.
