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TRANSLATION REVISITED Xiaowan Dong - PowerPoint PPT Presentation

SHARED ADDRESS TRANSLATION REVISITED Xiaowan Dong University of Rochester Sandhya Dwarkadas University of Rochester Alan L. Cox Rice University Limitations


  1. SHARED ADDRESS TRANSLATION REVISITED Xiaowan Dong University of Rochester Sandhya Dwarkadas University of Rochester Alan L. Cox Rice University

  2. Limitations of Current Shared Memory Management physical • Physical memory sharing is common memory • However, address translation is private per Process 2 Process 1 process Page Table Page Table Page Table Page Table • page tables and Translation Lookaside Buffer entry entry entry entry (TLB) entries • Potential for duplicate translation information (as much as 58% on Android) • Scalability problem: O(# of processes) TLB entry • Inefficient utilization of shared caches … TLB entry 2

  3. Previous Work • Previous work shares page tables for applications handling large amounts of contiguous data • E.g., PostgreSQL database systems • Limitations: • Overlook code at smaller granularity (such as shared libraries) • Ignore duplication in the TLB • New opportunities on Android, where shared libraries are used intensively 3

  4. Android Process Creation Model All applications share the same physical and virtual addresses for the preloaded libraries 4

  5. Goal: Shared Address Translation: Page Tables and TLB Entries • Sharing address translation for the physical page zygote-preloaded shared libraries Page Table Process 1 • Implemented at the OS level with & entry existing hardware support Process 2 • Mostly machine-independent • Benefits TLB entry • Reduce soft page faults • Improve cache and TLB performance 5

  6. Impact of Shared Libraries on Instruction Footprint • Number of shared libraries per application: • Loaded: 88 to 107 (zygote-preloaded: 88) • Invoked: 24 to 68 (zygote-preloaded: 21 to 46) % of inst pages accessed % of inst fetched 93% 98% 100% 100% 80% 80% 72% 60% 60% 68% 40% 40% 20% 20% 0% 0% zygote-preloaded shared lib other shared lib zygote-preloaded shared lib other shared lib 6

  7. Shared Library Instruction Footprint Intersection • Considerable overlap in the shared Laya Music library code accessed across different Player applications 91% 85% • 46% of total inst pages accessed are in common for each pair of applications MX Adobe 72% • Zygote-preloaded: 38% Player Reader The % of inst footprint overlapped 7

  8. SHARING ADDRESS TRANSLATION 8

  9. L2 PTE Sharing Page Tables L2 PTE L1 PTE L1 PTE • The ARM architecture defines a two- L2 PTE level hierarchical page table Zygote L2 PTE • L2 page table pages are shared at fork time between the zygote and its child processes L2 PTE • Supports private writable memory regions L2 PTE L1 PTE • Shared page table pages and physical L1 PTE pages should both be managed in a L2 PTE copy-on-write (COW) manner Android L2 PTE application 9

  10. Maintaining Shared Page Tables • A shared page table page needs to be unshared (COWed) in the following cases: • Page fault with write access • A process creates, destroys, or modifies a memory region within the range of a shared page table page • A process tries to free a shared page table page • Modification to any memory region will lose the entire shared page table page • Mapping the page table entries of the code segment and data segment of a shared library into different page table pages 10

  11. Sharing TLB Entries • Global bit • We set the global bit in the page table entries of the zygote-preloaded shared libraries’ code segments • Overrides Address Space Identifier (ASID) in TLB • Domain protection model of 32-bit ARM • Prevents processes not forked from the zygote from accessing the shared global TLB entries • E.g., system services and daemons 11

  12. Leveraging the domain protection model Domain field Global bit Domain 1 Domain 2 Domain 3 Zygote- VPN ASID 1 0011 Permission TLB User Kernel preloaded bits Space Space shared libraries Memory Abort Handler Trap into kernel Non-zygote … 00 … processes DACR Domain Check fault Zygote-like … 01 … fault ? status register processes Domain 3 00: No access permission Flush all TLB 01: Based on permission bits listed in the TLB entry entries with the faulting address 12

  13. EVALUATION 13

  14. Evaluation Platforms • Nexus 7 (2012) • 1.2GHz NvidiaTegra 3 processor with four ARM Cortex-A9 cores • A private 2-level TLB • I/D micro TLB ( flushed over context switch ) • 128-entry main TLB • 32KB/32KB L1 cache (I/D) • 1MB shared L2 cache • Android KitKat 4.4.4 OS • New android runtime (ART) • Benchmarks: • Most popular application in each category on Google Play Store 14

  15. Zygote Fork • Sharing page table improves execution time of a zygote fork by 2.1x • Trade-off between cost of fork and # of page faults experienced by child processes • Sharing page table is the best of both worlds Execution Cycles (x 10 6 ) Kernel # of PTPs allocated # of PTEs copied Stock Android 2.9 38 3,900 Copied PTEs 4.6 51 9,800 Shared PTPs 1.4 1 7 15

  16. Application Launch Performance • Every application follows the same launch procedure before it loads its application-specific Java classes • Launch time improved by 7% (10% with 2MB alignment) • 94% fewer page faults for creating PTEs that map shared code and data • 15% reduction in L1 Icache stall cycles • 68 % less page table page allocation 16

  17. Over The Course of Execution PTP allocation normalized to stock Android 100% 80% 60% 40% 20% 0% 38% fewer Page faults for creating PTEs 35% fewer page table pages allocated that map shared code and data on average (maximum 58% ) (maximum 78% ) 17

  18. Android IPC Performance • Inter-process communication (IPC) is common on Android • Developed microbenchmark using Android IPC binder mechanism • Inst main TLB stall cycles are reduced by: • Client: 36% • Server: 19% 18

  19. Conclusion • Android presents opportunities for shared library address translation sharing • We eliminated the duplication of address translation on Android • Android’s application launch, steady -state, and context switch efficiency are improved • Speed up a zygote fork by 2.1x • Improve application launch by 10% • Our shared address translation infrastructure should be portable to other platforms 19

  20. Large Pages Are Inefficient for Zygote- preloaded Shared Libraries • Using large pages (64KB page for example) will waste physical memory compared to 4KB base pages: • 2.6x memory consumption on average • 94% more memory consumption for the union set • Linux does not support the use of large pages for code • Our design can complement large pages • 64KB page on ARM also requires 2-level CDF of # of 4KB pages untouched within a 64KB page table as 4KB page does large page of zygote-preloaded shared libraries 20

  21. Page fault on a zygote- preloaded shared library Sharing TLB Task_struct. zygote zygote =1 or zygote_like = mmap the code exec 1? segment of a shared library Task_struct Vma.global yes Global bit is used = 1 .zygote = 1 for kernel pages Vma. in stock Linux global = 1 ? fork inherit yes Task_struct. Vma.global zygote_like =1 = 1 Set global bit in PTE 21

  22. Sharing Page Table at Fork L2 PTP is Virtual memory area (VMA): a memory region shared? Parent’s L1 PTP addr space No L1 PTE1 vma1 L2 PTP L1 PTE2 vma2 L2 PTE1 L1 PTE3 vma3 Write-protect every writable L2 PTE L2 PTE2 Child’s addr L2 PTE3 L1 PTP space Shared PTP L1 PTE1 vma1 L1 PTE2 If ARM supports write vma2 protection in L1 PTE as L1 PTE3 x86, we can avoid write- vma3 protecting every L2 PTE

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