1. A NEW PAGE TABLE FOR 64-BIT ADDRESS SPACES M. Talluri, M. D. Hill, Y. A. Kalidi University of Wisconsin, Madison Sun Microsystems Laboratories

2. THE PROBLEM Programs’ memory usage doubles every one or two years. Most processor architectures are now moving from 32-bit to 64-bit virtual address spaces How would current page table organizations scale up? –Will support very large but very sparsely populated address spaces

3. CURRENT ORGANIZATIONS (I) Three main approaches: – Linear page tables : PTs are too large to be stored in main memory Store PT in virtual memory (VMS solution) Very large page tables need more than 2 levels (3 levels on MIPS R3000)

4. CURRENT ORGANIZATIONS (II) – Forward-mapped page tables: Virtual Address Physical Address MASTER INDEX Offset 1ary2ary SUBINDEX Frame No Frame Addr. (unchanged)

5. CURRENT ORGANIZATIONS (III) – Hashed (inverted) page tables : VPN hash VPN PPN VPN = virtual page number PPN = “physical page” number = page frame number

6. What is wrong with them? None of these solutions scales up to 64-bit addresses: –Linear and forward-mapped page tables require too many levels –Hashed page tables require too much space: Must store the VPN and the next pointer in addition to PPN

7. CLUSTERED PAGE TABLES Variant of hashed page tables Each entry stores mapping information for a cluster of consecutive page table entries Number of pages in a cluster is called the clustering factor.

8. How they work VPN hash VPN PPN0 PPN1 Clustering factor = 2 Each entry maps 2 contiguous VPNs

9. Advantages of clustered PTs Require much less space overhead: only one VPN and one next pointer per cluster Take advantage of the fact that the address space of many programs consists of small clusters of pages Interact much better with the TLB miss handling firmware or software.

10. Are we really saving space? Assume a clustering factor of 2 –Each entry maps 2 pages and occupies 4×8 bytes VPN PPN0 PPN1

11. The answer –Without clustering, each entry maps one page and occupies 3×8 bytes Clustering will save space if more than 67% of the page mappings are useful VPN PPN

12. HANDLING TLB MISSES Page table organization should allow efficient handling of TLB misses by –firmware (classical solution) –software (MIPS, Alpha, UltraSPARC) Should handle two recent TLB advances – subblocking – superpages

13. Subblocking Associates multiple physical page numbers (PPN’s) with each TLB tag: – Complete subblocking allows the page frames containing the subblock pages to be anywhere in main memory (MIPS 4X00x) – Partial subblocking requires these page frames to be placed in a single, aligned block of main memory; there is one PPN per TLB tag.

14. Handling complete subblocking Have cluster size of PT equal to subblocking factor VPN hash VPN PPN0 PPN1

15. Handling partial subblocking Since all page frames are contiguous, have a single PPN per cluster Bitmap ( bm ) indicates which pages are in memory VPN hash VPN0 PPN0 bm

16. Note Each page table entry maps two virtual pages into two physical pages –Virtual page VPN0 is mapped into physical page PPN0 –Virtual page VPN0 + 1 is mapped into physical page PPN0 + 1 These mappings are valid i f the virtual page is actually in main memory

17. Problem A virtual memory system has 64-bit addresses and a clustered page table with a clustering factor of 4. If each address occupies 8 bytes, what would be the length of a page table entry for: (a) partial subblocking ? (b) complete subblocking ?

18. Hint No additional space is required for bitmap If page size is equal to 2 p, page size will occupy 64 - p bits In practice, page size > 1,024 and p > 10 Can use these p bits to store the bitmap

19. Solution (I) With complete subblocking, each PTE has: –one virtual page number –four physical page numbers –one pointer to next entry 6 entries × 8 bytes = 48 bytes

20. Solution (II) With partial subblocking, each PTE has: –one virtual page number –one physical page number –four bits of bitmap –one pointer to next entry 3 entries × 8 bytes = 24 bytes

21. Superpages Sets of pages that are aligned both in virtual and in physical memory Brought in memory and out of memory as a single entity Size is a power-of-two multiple of the page size (MIPS, UltraSPARC, Alpha, PowerPC) Large superpages (256KB and above) are especially useful for kernel data

22. Handling superpages (I) We can: –Have one PTE for each page in the superpage Simplest solution but does not save space –Have one page table per superpage size (including isolated pages) Each page miss will now have to search several PTs

23. Handling superpages (II) –Store superpage mappings at the appropriate level of a PT Only works with multi-level PTs having a tree structure –Pick hash function such that all pages that are in the same superpage are in the same bucket Results in larger buckets and longer searches

24. Handling superpages (III) Best solution seems to be –Use same data structures for small superpages and partial subblocks –Otherwise have one entry for each cluster in the superpage –Support very large superpages on an ad hoc basis There will be very few of them

25. CONCLUSIONS 64-bit addresses will force a rethinking of page table organization New organizations must support efficient handling of TLB misses Supporting partial subblocking is most important issue because partial subblocking requires simpler OS support than superpages and reduces more effectively page table sizes