Parallelization of benchmarks for scalable shared-memory multiprocessors

This paper identifies practical compiling techniques for scalable shared memory machines. For this, we have focused on experimental studies using a real machine and representative codes. In the experiments, we transformed conventional codes to shared memory codes using several existing techniques and ran the output on the target machine to evaluate those techniques and to identify where improvement is needed. Based on the analysis of the results, we developed a few new techniques, and experimented again on the target machine to measure the effectiveness of each one. The results reported in this paper were quite positive, lending useful information to future research on compiler optimizations for existing SSM machines