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We compare automatically and manually parallelized NAS Benchmarks in order toidentify code sections that differ. We discuss opportunities for advancingautomatic parallelizers. We find ten patterns that pose challenges for currentparallelization technology. We also measure the potential impact of advancedtechniques that could perform the needed transformations automatically. Whilesome of our findings are not surprising and difficult to attain -- compilersneed to get better at identifying parallelism in outermost loops and in loopscontaining function calls -- other opportunities are within reach and can makea difference. They include combining loops into parallel regions, avoiding loadimbalance, and improving reduction parallelization.  Advancing compilers through the study of hand-optimized code is a necessarypath to move the forefront of compiler research. Very few recent papers havepursued this goal, however. The present work tries to fill this void.

A comparison between Automatically versus Manually Parallelized NAS Benchmarks