Scalable

Data prefetching via helper threading has been extensively investigated on Simultaneous Multi-Threading (SMT) or Virtual Multi-Threading (VMT) architectures. Although reportedly large cache latency can be hidden by helper threads at runtime, most techniques rely on hardware support to reduce context switch overhead between the main thread and helper thread as well as rely on static profile feedback to construct the help thread code. This paper develops a new solution by exploiting helper threaded pre-fetching through dynamic optimization on the latest UltraSPARC Chip-Multiprocessing (CMP) processor. Our experiments show that by utilizing the otherwise idle processor core, a single user-level helper thread is sufficient to improve the runtime performance of the main thread without triggering multiple thread slices. Moreover, since the multiple cores are physically decoupled in the CMP, contention introduced by helper threading is minimal. This paper also discusses several key technical challenges of building a light-weight dynamic optimization/software scouting system on the UltraSPARC/Solaris platform. 1