%0 Generic %D 2017 %T The Case for Directive Programming for Accelerator Autotuner Optimization %A Diana Fayad %A Jakub Kurzak %A Piotr Luszczek %A Panruo Wu %A Jack Dongarra %X In this work, we present the use of compiler pragma directives for parallelizing autotuning of specialized compute kernels for hardware accelerators. A set of constructs, that include prallelizing a source code that prune a generated search space with a large number of constraints for an autotunning infrastructure. For a better performance we studied optimization aimed at minimization of the run time.We also studied the behavior of the parallel load balance and the speedup on four different machines: x86, Xeon Phi, ARMv8, and POWER8. %B Innovative Computing Laboratory Technical Report %I University of Tennessee %8 2017-10 %G eng