A15: Quantifying Compiler Effects on Code Performance and
Reproducibility Using FLiT
SessionPoster Reception
Author
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionA busy application developer likes to focus on doing
science, but instead is often distracted by the sheer
variety of available hardware platforms, their
compilers, and associated optimization flags. Exclusive
pursuit of speed may jeopardize the reproducibility of
scientific experiments. On the other hand, performance
is central to HPC. Our previous work provided a unique
testing framework called FLiT that helps developers
exploit performance without jeopardizing
reproducibility. To verify that FLiT is useful for
real-world libraries and applications, it was applied to
MFEM, a finite element library used in various HPC
applications. I show that the compilation with the
fastest average runtime for the converted MFEM examples
is also bitwise reproducible. For these examples, clang
had the fastest average runtimes and the best
reproducibility. Our future work aims to enhance the
open-source FLiT tool into a strong community resource
and to follow up with found compiler oddities.
