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Energy-based Accounting Model for Heterogeneous Supercomputers
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TimeFriday, 19 November 20218:45am - 9:15am CST
DescriptionIn this paper we present a new accounting model for
heterogeneous supercomputers. An increasing number of super-
computing centres adopt heterogeneous architectures consisting
of CPUs and hardware accelerators for their systems. Accounting
models using the core hour as unit of measure are redefined to
provide an appropriate charging rate based on the computing
performance of different processing elements, as well as their
energy efficiency and purchase price. We provide an
overview of existing models and define a new model that, while
retaining the core hour as a fundamental concept, takes into
account the interplay among resources such as CPUs and RAM,
and that bases the GPU charging rate on energy consumption.
This model, designed for the next supercomputer
at the author's institution, has a lot of advantages compared
to other models, introducing carbon footprint as a primary
driver in determining the allocation of computational workflow
on heterogeneous resources.
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