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Jianmin Zhang

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Open access Aug 2026

SAI: Virtualizing Shared Memory of GPU for AI workload acceleration

This work proposes SAI, a mechanism that virtualizes shared memory into the L2 cache to improve GPU performance for AI applications and introduces an L2 cache management strategy that integrates associativity-based virtual page allocation and a replacement information table, reducing page-swapping overhead while preserving L2 cache performance.

Hanqing Li, Tiejun Li, Sheng Ma et al. · 0 citations