一句话：提出 MIX TLB：利用超级页分配模式的低能耗组相联结构，同时支持所有页大小，性能提升 10-30%。
处理器与操作系统普遍支持多种内存页大小：超级页可提高 TLB 命中率，小页则提供细粒度内存保护，理想情况下 TLB 应对任意页大小分布都有良好表现。然而，因能效优势而被广泛采用的组相联 TLB 难以同时支持多种页大小，商用系统通常为每种页大小实现独立的组相联 TLB。这导致一个反直觉的后果：当超级页被激进分配时，即使小页表项闲置，TLB 缺失也可能增加，反之亦然。本文提出 MIX TLB，一种节能的组相联结构，通过利用超级页的分配模式在同一结构中并发支持所有页大小。作者在原生 CPU、虚拟化 CPU 与 GPU 上对大内存应用进行评测，性能通常提升 10-30%，且 MIX TLB 设计简单，无需修改操作系统或应用程序。
Processors and operating systems (OSes) support multiple memory page sizes. Superpages increase Translation Lookaside Buffer (TLB) hits, while small pages provide fine-grained memory protection. Ideally, TLBs should perform well for any distribution of page sizes. In reality, set-associative TLBs -- used frequently for their energy efficiency compared to fully-associative TLBs -- cannot (easily) support multiple page sizes concurrently. Instead, commercial systems typically implement separate set-associative TLBs for different page sizes. This means that when superpages are allocated aggressively, TLB misses may, counter intuitively, increase even if entries for small pages remain unused (and vice-versa). We invent MIX TLBs, energy-frugal set-associative structures that concurrently support all page sizes by exploiting superpage allocation patterns. MIX TLBs boost the performance (often by 10-30%) of big-memory applications on native CPUs, virtualized CPUs, and GPUs. MIX TLBs are simple and require no OS or program changes.