As multi-core platforms with hundreds or even more quantities of cores are popular, system optimization issues, including lock contentions, start to puzzle programmers who work on multi-core platforms. Locks are more convenient and clear than lock-free operations (for example, transactional memory) for multi-core programmers. However, lock contention has been recognized as a typical impediment to the performance of shared-memory parallel programs. This paper mainly discusses two important reasons that cause lock contention, including large critical sections and frequent lock requests. For current solutions, it is hard for programmers to find the locations of large critical sections and good scheme to reduce lock contentions on hot critical sections. This paper proposes FFlocker, a series of runtime solutions that reduce lock contention caused by the two issues. FFlocker includes a profiling algorithm to find the locations of large critical sections. Based on the profiling scheme, it binds the threads acquiring the same locks onto the same core. We evaluate our techniques with three benchmarks. The results show that FFlocker offers better performance than Function Flow and OpenMP.
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