The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …

To improve energy efficiency and comply with the power budgets, it is important to be able to
measure the power consumption of cloud computing servers. Intel's Running Average …

Energy consumption is one of the top challenges for achieving the next generation of
supercomputing. Codesign of hardware and software is critical for improving energy …

Building future generation supercomputers while constraining their power consumption is
one of the biggest challenges faced by the HPC community. For example, US Department of …

A key challenge in next-generation supercomputing is to effectively schedule limited power
resources. Modern processors suffer from increasingly large power variations due to the …

As the HPC community attempts to reach exascale performance, power will be one of the
most critical constrained resources. Achieving practical exascale computing will therefore …

Power management is one of the key research challenges on the path to exascale.
Supercomputers today are designed to be worst-case power provisioned, leading to two …

Energy consumption and power draw pose two major challenges to the HPC community for
designing larger systems. Present day HPC systems consume as much as 10MW of …

As we approach the exascale era, power has become a primary bottleneck. The US
Department of Energy has set a power constraint of 20MW on each exascale machine. To …

Resource and job management software is crucial to High Performance Computing (HPC)
for efficient application execution. However, current systems and approaches can no longer …