[hpc-announce] Computation Special Issue: "Energy-Efficient Computing on Parallel Architectures"

[Enrico Calore]

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Special Issue on "Energy-Efficient Computing on Parallel Architectures"

Computation, MDPI (ISSN 2079-3197) - Open Access Journal

Ranked Q2 in Scopus/Scimago - Computer Science (misc.)

Submission Deadline: 29 February 2020

https://www.mdpi.com/journal/computation/special_issues/EEC_PA

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Dear Colleagues,

The power requirements of large HPC facilities are becoming
unsustainable for both technical and economic reasons, and a significant
fraction of the total cost of ownership of HPC installations is already
driven by the electricity bill.

The idea of charging users for the energy consumed by their compute jobs
is spreading, although in the past it has been difficult to implement it
due to the lack of fine-grained energy accounting systems at the data
center level. These systems have recently started to be adopted, making
it possible to implement per-user energy accounting. On the other side,
application developers still focus their main efforts towards
performance, often neglecting energy-efficiency issues.

With this Special Issue, we aim to increase awareness towards
energy-efficiency importance in the scientific computing community,
gathering computer scientists, computational scientists, and developers
from different research fields, such as computational-physics,
-chemistry, -biology, and -engineering. In particular, we aim to
encourage the exchange of experiences and knowledge in novel strategies
to monitor, profile, and optimize the energy-efficiency of applications,
when run on modern parallel computing systems.


Relevant topics include (but are not limited to) the following:

- Application profiling and analysis of energy requirements aimed to
energy-efficiency optimizations.
- Case studies of parallel applications optimization towards
energy-efficiency;
- Case studies of parallel applications performance optimization on a
power budget;
- Power and energy-efficiency assessment of processors and accelerators
including also FPGAs;
- Programming models, tools, languages, and compilers to support
energy-aware computing;
- Low-power parallel architectures (use and design);
- Energy-proportional systems;
- Energy-efficient heterogeneous systems and communication architectures.


Guest Editors:

- Dr. Enrico Calore, INFN Ferrara, Italy.
- Dr. Nikela Papadopoulou, Computing Systems Laboratory, National
Technical University of Athens, Greece.
- Prof. Dr. Sebastiano Fabio Schifano, University of Ferrara, Italy.