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OnLine Transaction Processing (OLTP) workload performance suffers from instruction stalls; the instruction footprint of a typical transaction exceeds by far the capacity of an L1 cache, leading to ongoing cache thrashing. Several proposed techniques remove some instruction stalls in exchange for error-prone instrumentation to the code base, or a sharp increase in the L1-I cache unit area and power. Others reduce instruction miss latency by better utilizing a shared L2 cache. SLICC, a recently proposed thread migration technique that exploits transaction instruction locality, is promising for high core counts but performs sub-optimally or may hurt performance when running on few cores.
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