Verification of the Extended Roofline Model for
Asynchronous Many Task Runtimes
Author/Presenters
Event Type
Workshop
Accelerators
Deep Learning
Exascale
GPU
Parallel Application Frameworks
Parallel Programming Languages, Libraries, Models
and Notations
SIGHPC Workshop
System Software
TimeSunday, November 12th2:30pm -
3pm
Location505
DescriptionAsynchronous Many Task (AMT) runtimes promise
application designers the ability to better utilize
novel hardware resources and to take advantages of the
idle times that might arise from the discrepancies due
to mismatches between software and hardware components.
To foresee possible problems between hardware and
software components (described as mismatches), designers
usually use models to predict and analyze application
behaviors. However, current models are ill suited for
the AMT crowd because of its dynamic behavior and
agility. To this effect, we developed an extended
roofline model that aims to provide upper bounds on
execution for AMT frameworks. This work focuses on the
validation and error characterization of this model
using different statistical techniques and a large set
of experiments to evaluate and characterize its error
and its sources. We found out that in the worst case,
the error can grow to an order of magnitude, however
there are several techniques to increase the model
accuracy given a machine configuration.
Author/Presenters
