TLB Update-Hint : A Scalable TLB Consistency Algorithm for Cache-Coherent Non-uniform Memory Access Multiprocessors

SEONG Byeonghag, KIM Donggook, ROH Yangwoo, PARK Kyuho, PARK Daeyeon

Shared memory multiprocessors in which each processor has its own TLB must manage consistency among TLBs and a page table. As the large-scale CC-NUMA (cache-coherent non-uniform memory access) shared memory multiprocessors become popular, it is important for TLB consistency management algorithms to be highly scalable. In this paper, we propose a TLB update-hint algorithm as a scalable TLB consistency management solution for CC-NUMA multiprocessors. By using a lazy TLB invalidation approach, we reduced the number of unnecessary processor interruptions and idle-waiting time, and achieved a high level of scalability. Using a shared memory simulator, we evaluated the TLB update-hint algorithm. For performance comparison, we also simulated the TLB shootdown algorithm, one of the most popular TLB consistency algorithms. The simulations demonstrated that the TLB update-hint algorithm scales well in systems with a large number of processors. At 64 node systems, the TLB update-hint algorithm shows 47〜87% better performance than the TLB shootdown algorithm.

TLB Update-Hint : A Scalable TLB Consistency Algorithm for Cache-Coherent Non-uniform Memory Access Multiprocessors

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TLB Update-Hint : A Scalable TLB Consistency Algorithm for Cache-Coherent Non-uniform Memory Access Multiprocessors

この論文をさがす

説明

収録刊行物

参考文献 (27)*注記

キーワード

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書き出し

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