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Speculative thread-level parallelization is a promising way to speed up codes that compilers fail to parallelize. While several speculative parallelization schemes have been proposed for different machine sizes and types of codes, the results so far show that it is hard to deliver scalable speedups. Often, the problem is not true dependence violations, but sub-optimal architectural design. Consequently, we attempt to identify and eliminate major architectural bottlenecks that limit thedoi:10.1145/384285.379264 fatcat:ovbiqt6ayzhsbavke4mcnomdyu