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The exponential increase in the cache sizes of multicore processors (CMPs) accompanied by growing on-chip wire delays make it dif?cult to implement traditional caches with single and uniform access latencies. Non-Uniform Cache Architecture (NUCA) designs have been proposed to address this problem. NUCA divides the whole cache memory into smaller banks and allows nearer cache banks to have lower access latencies than farther banks, thus mitigating the effects of the cache’s internal wires. Traditionally, NUCA organizations have been classi?ed as static (S-NUCA) and dynamic (D-NUCA). While in S-NUCA a data block is mapped to a unique bank in the NUCA cache, D-NUCA allows a data block to be mapped in multiple banks. Besides, D-NUCA designs are dynamic in the sense that data blocks may migrate towards the cores that access them most frequently. Recent works consider D-NUCA as a promising design, however, in order to obtain signi?cant performance bene?ts, they used a non-affordable access scheme mechanism to ?nd data in the NUCA cache. In this paper, we propose a novel and implementable data search algorithm for D-NUCA designs in CMP architectures, which is called HK-NUCA (Home Knows where to ?nd data within the NUCA cache). It exploits migration features by providing fast and power ef?cient accesses to data which is located close to the requesting core. Moreover, HK-NUCA implements an ef?cient and cost-effective search mechanism to reduce miss latency and on-chip network contention. We show that using HK-NUCA as data search mechanism in a D-NUCA design reduces about 40% energy consumed per each memory request, and achieves an average performance improvement of 6%.

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