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DAC2023顶会

vPIM: Efficient Virtual Address Translation for Scalable Processing-in-Memory Architectures

Amel Fatima, Sihang Liu, Korakit Seemakhupt, Rachata Ausavarungnirun, Samira Manabi Khan

2023年份
6被引次数

摘要

3D-stacked memory technologies make it possible to integrate computation logic into the memory stack to reduce data movement between CPU and memory, enabling processing-in-memory (PIM). PIM systems scale in capacity and bandwidth by connecting multiple PIM stacks through a memory network. They also need to be programmable, where having virtual memory support is critical. Existing address translation schemes, however, are not optimized for a scalable PIM system. In this work, we propose VPIM, a virtual address translation scheme for scalable, multi-stack PIM systems. VPIM optimizes contention of the memory network in a PIM system and reduces translation time with pre-translation. Our evaluation shows a speedup of 4.4× and 1.7× compared to conventional radix and cuckoo hash page tables in eight memory-intensive workloads.

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