Critical Analysis of Parallel Functional Profilers
Majed Al Saeed, Phil Trinder and Patrick Maier
We will present a critical analysis for parallel functional prolers. In particular, the profiling tools of the parallel Haskells Eden and GHC-SMP. We
will investigate how the data size of profiling and the runtime overhead of these tools change in response to the increase in computation size and the increase in the number of Processing Elements (PEs). In addition, we will evaluate the
main features and properties of these tools that make them suitable for identifying performance problems. In addition, this study will compare functional profilers with profilers of imperative parallel languages.