1 School of Computing Science Simon Fraser University CMPT 300: Operating Systems I Ch 8: Memory Management Dr. Mohamed Hefeeda.

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Presentation transcript:

1 School of Computing Science Simon Fraser University CMPT 300: Operating Systems I Ch 8: Memory Management Dr. Mohamed Hefeeda

2 Objectives  To provide a detailed description of various ways of organizing memory hardware  To discuss various memory-management techniques, including paging and segmentation  To provide a detailed description of the Intel Pentium, which supports both pure segmentation and segmentation with paging

3 Background  Program must be brought (from disk) into memory and placed within a process to be run  Main memory and registers are the only storage that CPU can access directly  CPU generates a stream of addresses  Memory does not distinguish between instructions and data  Register is accessed in one CPU cycle  Main memory can take many cycles  Cache sits between main memory and CPU registers to accelerate memory access

4 Binding of Instructions and Data to Memory  Address binding can happen at:  Compile time:  If memory location is known apriori, absolute code can be generated  must recompile code if starting location changes  Load time:  Must generate relocatable code if memory location is not known at compile time  Execution time:  Binding delayed until run time  process can be moved during its execution from one memory segment to another  Need hardware support for address maps  Most common (more on this later)

5 Multi-step Processing of a User Program

6 Logical vs. Physical Address Space  Logical address  generated by the CPU  also referred to as virtual address  User programs deal with logical addresses; never see the real physical addresses  Physical address  address seen by the memory unit  Both are the same if address binding is done in  Compile time or  Load time  But they differ if address binding is done in  Execution time  we need to map logical addresses to physical ones

7 Memory Management Unit (MMU)  MMU: Hardware device that maps virtual address to physical address  MMU also ensures memory protection  Protect OS from user processes, and protect user processes from one another  Example: Relocation register

8 Memory Protection: Base and Limit Registers  A pair of base and limit registers define the logical address space  Later, we will see other mechanisms (paging hardware)

9 Memory Allocation  Main memory is usually divided into two partitions:  Part for the resident OS usually held in low memory with interrupt vector  Another for user processes  OS allocates memory to processes  Contiguous memory allocation Process occupies a contiguous space in memory  Non-contiguous memory allocation (paging) Different parts (pages) of the process can be scattered in the memory

10 Contiguous Allocation (cont’d)  When a process arrives, OS needs to find a large-enough hole in memory to accommodate it  OS maintains information about:  allocated partitions  free partitions (holes)  Holes have different sizes and scattered in the memory  Which hole to choose for a process? OS process 5 process 8 process 2 OS process 5 process 2 OS process 5 process 2 OS process 5 process 9 process 2 process 9 process 10

11 Contiguous Allocation (cont’d)  Which hole to choose for a process?  First-fit: Allocate first hole that is big enough  Best-fit: Allocate smallest hole that is big enough  must search entire list, unless ordered by size  Produces the smallest leftover hole  Worst-fit: Allocate the largest hole;  must also search entire list  Produces the largest leftover hole  Performance:  First-fit and best-fit perform better than worst-fit in terms of speed and storage utilization  What are pros and cons of contiguous allocation?  Pros: Simple to implement  Cons: Memory fragmentation

12 Contiguous Allocation: Fragmentation  External Fragmentation  Total memory space exists to satisfy a request, but it is not contiguous  Solutions to reduce external fragmentation?  Memory compaction Shuffle memory contents to place all free memory together in one large block Compaction is possible only if relocation is dynamic, and is done at execution time  Internal Fragmentation  Occurs when memory has fixed-size partitions (pages)  Allocated memory may be larger than requested  the difference is internal to the allocated partition, and cannot being used

13 Paging: Non-contiguous Memory Allocation  Process is allocated memory wherever it is available  Divide physical memory into fixed-sized blocks called frames  size is power of 2, between 512 bytes and 8,192 bytes  OS keeps track of all free frames  Divide logical memory into blocks of same size called pages  To run a program of size n pages, need to find n free frames  Set up a page table to translate logical to physical addresses

14 Address Translation Scheme  Address generated by CPU is divided into:  Page number (p) – used as an index into a page table which contains base address of each page in physical memory  Page offset (d) – combined with base address to define the physical memory address that is sent to the memory unit  Address pace = 2 m entries  Page size = 2 n entries  Number of page = 2 (m-n) entries page number page offset p d m - n n

15 Paging Hardware

16 Paging Model of Logical and Physical Memory

17 Paging Example Page size = 4 bytes Memory size = 8 pages = 32 bytes Logical address 0: page = 0/4 = 0, offset = 0%4 = 0 maps to  frame 5 + offset 0  physical address 20 Logical address 13: page = 13/4 = 3, offset = 13%4 = 1 maps to  frame 2 + offset 1  physical address 9

18 Free Frames Before allocation After allocation Note: Every process must have its own page table

19 Implementation of Page Table  Page table is kept in main memory  Page-table base register (PTBR) points to page table  Page-table length register (PRLR) indicates size of page table  What is the downside of keeping P.T. in memory?  Memory slow down. Every data/instruction access requires two memory accesses: One for page table and one for data/instruction  Solution?  use a special fast-lookup associative memory to accelerate memory access Called Translation Look-aside Buffer (TLB) Stores part of page table (of currently running process)  TLBs store process identifier (address space identifier) in each TLB entry  provide address-space protection for that process

20 Paging Hardware With TLB

21 Effective Access Time  Associative Lookup =  time unit  Assume memory cycle time is t m time unit  Typically  << t m  Hit ratio   percentage of times a page is found in associative memory  Effective Access Time (EAT) = ? EAT = (  + t m )  + (  + t m + t m ) (1 –  ) =  + (2 –  ) t m As  approaches 1, EAT approaches t m

22 Memory Protection  Memory protection implemented by associating protection bits with each frame  Can specify whether a page is: read only, write, read-write  Another bit (valid-invalid) may be used  “valid” indicates whether a page is in the process’ address space, i.e., a legal page to access  “invalid” indicates that the page is not in the process’ address space

23 Valid (v) or Invalid (i) Bit In A Page Table

24 Shared Pages  Suppose that you have code (e.g., emacs) that are being used by several processes at the same time. Does every process need to have a separate copy of that code in memory?  NO. Put the code in “Shared Pages”  One copy of read-only (reentrant) code shared among processes, e.g., text editors, compilers, …  Shared code must appear in same location in the logical address space of all processes  What if the shared code creates per-process data?  Each process keeps “private pages” for data  Private pages can appear anywhere in address space

25 Example: Shared/Private Pages Shared pages Private page for process P1

26 Structure of the Page Table  Assume that we have 32-bit address space, and page size is 1024 byes  How many pages do we have?  2 22 pages  What is the maximum size of the page table, assuming that each entry takes 4 bytes?  16 Mbytes  Anything wrong with this number?  Huge size (for each process, mostly unused). Solutions?  Hierarchical Paging  Hashed Page Tables  Inverted Page Tables

27 Hierarchical Page Tables  Break up the logical address space into multiple page tables  A simple technique is a two-level page table

28 Two-Level Page-Table Scheme

29  Logical address (on 32-bit machine with 1K page size) is divided into:  a page number consisting of 22 bits  a page offset consisting of 10 bits  Since page table is paged, page number is further divided into:  a 12-bit page number  a 10-bit page offset  Thus, a logical address is as follows:  where p 1 is an index into the outer page table, and p 2 is the displacement within the page of the outer page table Two-Level Paging Example page number page offset p1p1 p2p2 d 12 10

30 Address Translation in 2-Level Paging Note: OS creates the outer page table and one page of the inner page table. More pages of the inner table are created on-demand.

31 Three-level Paging Scheme For 64-bit address space, we may have a page table like: But the outer page table is huge, we may have 3-level: The outer page table is still large!

32 Hashed Page Tables  Common in address spaces > 32 bits  Fixed-size hash table  Page number is hashed into a page table  Collisions may occur   An entry in page table may contain a chain of elements that hash to same location

33 Hashed Page Table  Page number is hashed  If multiple entries, search for the correct one  cost of searching, linear in worst-case!

34 Inverted Page Table  One entry for each frame of physical memory  Entry has: page # stored in that frame, and info about process (PID) that owns that page

35 Inverted Page Table (cont’d)  Pros and Cons of inverted page table?  Pros  Decreases memory needed to store page table  Cons  Increases time needed to search the table when a page reference occurs Can be alleviated by using a hash table to reduce the search time  Difficult to implement shared pages Because only one entry for each frame in the page table, i.e., one virtual address for each frame  Examples  64-bit UltraSPARC and PowerPC

36 Segmentation  Memory management scheme that supports user view of memory  A program is a collection of segments  A segment is a logical unit such as: main program, procedure, function, method, object, local variables, global variables, common block, stack, symbol table, arrays

37 Logical View of Segmentation user space physical memory space

38 Segmentation Architecture  Logical address has the form:   Segment table  maps logical address to physical address  Each entry has Base: starting physical address of segment Limit: length of segment  Segment-table base register (STBR) points to location of segment table in memory

39 Segmentation Hardware

40 Segmentation Example

41 Segmentation Architecture (cont’d)  Protection  With each entry in segment table associate: validation bit = 0  illegal segment read/write/execute privileges  Protection bits associated with segments  code sharing occurs at segment level (more meaningful)  Segments vary in length   Memory allocation is a dynamic storage-allocation problem  Problem?  External fragmentation. Solution?  Segmentation with paging: divide a segment into pages, pages could be anywhere in memory  Get benefits of segmentation (user’s view) and paging (reduced fragmentation)

42 Example: Intel Pentium  Supports segmentation and segmentation with paging  CPU generates logical address  Given to segmentation unit  produces linear address  Linear address given to paging unit  generates physical address in main memory

43 Pentium Segmentation Unit  Segment size up to 4 GB  Max #segs per process 16 K  8 K private segs  use local descriptor table  8 K shared segs  use global descriptor table

44 Pentium Paging Unit  Page size either:  4 KB  two-level paging, or  4 MB  one-level paging p1p1 p2p2 d

45 Linux on Pentium  Linux is designed to run on various processors  three-level paging (to support 64-bit architectures) On Pentium, the middle directory size is set to 0  Limited use of segmentation On Pentium, Linux uses only six segments

46 Summary  CPU generates logical (virtual) addresses  Binding to physical addresses can be static (compile time) or dynamic (load or run time)  Contiguous memory allocation  First-, Best-, and worst-fit  Fragmentation (external)  Paging: noncontiguous memory allocation  Logical address space is divided into pages, which are mapped using page table to memory frames  Page table (one table for each process) Access time: use cache (TLB) Size: use two- and three-levels for 32 bit address spaces; use hashed and inverted page tables for > 32 bits  Segmentation: variable size, user’s view of memory  Segmentation + paging: example Intel Pentium