Data centers can go green by saving electricity in two major areas: computing and cooling.
Servers in data centers require a constant supply of cold air from on-site cooling …

Execution time is no longer the only metric by which computational systems are judged. In
fact, explicitly sacrificing raw performance in exchange for energy savings is becoming a …

Datacenters have become an important part of today's computing infrastructure. Recent
studies have shown the increasing importance of thermal considerations to achieve effective …

Meeting power requirements of huge exascale machines of the future will be a major
challenge. Our focus in this paper is to minimize cooling power and we propose a technique …

As we move to exascale machines, both peak power demand and total energy consumption
have become prominent challenges. A significant portion of that power and energy …

This paper focuses on scheduling problems related to the execution of computational jobs in
datacenters with thermal constraints. Mixed integer linear programming (MILP) formulations …

This paper addresses the problem of reinforcing the ability of the k-NN classification of
handwritten characters via distortion-tolerant template matching techniques with a limited …

Increasing number of cores and clock speeds on a smaller chip area implies more heat
dissipation and an ever increasing heat density. This increased heat, in turn, leads to higher …

Data center operators generally overprovision IT and cooling capacities to address
unexpected utilization increases that can violate service quality commitments. This results in …

Energy, power and resilience are the major challenges that the HPC community faces in
moving to larger supercomputers. Data centers worldwide consumed energy equivalent to …