On the instrumentation of OpenMP and OmpSs Tasking constructs
- Publication date
- Publisher
- Springer
Abstract
Parallelism has become more and more commonplace with
the advent of the multicore processors. Although different parallel pro-
gramming models have arisen to exploit the computing capabilities of
such processors, developing applications that take benefit of these pro-
cessors may not be easy. And what is worse, the performance achieved
by the parallel version of the application may not be what the developer
expected, as a result of a dubious ut
ilization of the resources offered by
the processor.
We present in this paper a fruitful synergy of a shared memory parallel
compiler and runtime, and a performance extraction library. The objective of this work is not only to reduce the performance analysis life-cycle when doing the parallelization of an application, but also to extend the
analysis experience of the parallel application by incorporating data that
is only known in the compiler and runtime side. Additionally we present
performance results obtained with the execution of instrumented application and evaluate the overhead of the instrumentation.Peer Reviewe