Sebastian Kloibhofer,
"Run-time Data Analysis to Drive Compiler Optimizations"
: SPLASH Doctoral Symposium at SPLASH'21, 10-2021
Original Titel:
Run-time Data Analysis to Drive Compiler Optimizations
Sprache des Titels:
Englisch
Original Buchtitel:
SPLASH Doctoral Symposium at SPLASH'21
Original Kurzfassung:
Throughout program execution, types may stabilize, variables
may become constant, and code sections may turn out
to be redundant?all information that is used by just-in-time
(JIT) compilers to achieve peak performance. Yet, since JIT
compilation is done on demand for individual code parts,
global observations cannot be made. Moreover, global data
analysis is an inherently expensive process, that collects
information over large data sets. Thus, it is infeasible in dynamic
compilers. With this project, we propose integrating
data analysis into a dynamic runtime to speed up big data
applications. The goal is to use the detailed run-time information
for speculative compiler optimizations based on the
shape and complexion of the data to improve performance.