Speaker
Goncalo Marques Pestana
(H)
Description
As both High Performance Computing (HPC) and High Throughput
Computing (HTC) are sensitive to the rise of energy costs,
energy-efficiency has become a primary concern in scientific fields
such as High Energy Physics (HEP). There has been a growing interest in
utilizing low power architectures, such as ARM processors,
to replace traditional Intel x86 architectures. Nevertheless, even
though such solutions have been successfully used in mobile applications
with low I/O and memory demands, it is still unclear if they are suitable
and more energy-efficient in the scientific computing environment.
Furthermore, there is still lack of tools to derive and compare power
consumption for these types of workloads, and eventually to support
software optimizations for energy efficiency.
To that end, we have performed several physical and software-based
measurements of workloads from CERN running on ARM and Intel
architectures, to compare their power consumption and performance.
We leverage several profiling tools to extract different aspects
of the experiments, including hardware usage and software
characteristics. We report the results of these measurements and
the experience gained in developing a set of measurement techniques
and profiling tools to accurately assess the power consumption
for scientific workloads.
Primary authors
David Abdurachmanov
(Vilnius University (LT))
Mr
Filip Nybäck Filip
(Aalto University)
Mr
Giulio Eulisse
(Fermi National Accelerator Lab. (US))
Goncalo Marques Pestana
(H)
Jukka Nurminen
(Aalto University)
Dr
Peter Elmer
(Princeton University (US))
Robert Knight
(Princeton University)
Tapio Petteri Niemi
(Helsinki Institute of Physics (FI))
Zhonghong Ou
(Aalto University)
