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Today, we'll explore hierarchical page tables. Can anyone explain what we understand by a page table?
Isn't it a structure that maps virtual addresses to physical addresses?
Exactly! Now, hierarchical page tables take this a step further. By splitting the page number into two parts, we can use multiple levels of page tables. Can anyone give me an example of how this helps in managing memory?
It allows us to keep the page tables smaller by only allocating space for addresses in use.
Right! This is particularly useful when working with larger virtual address spaces. It avoids having one massive table and instead breaks it down.
Now let’s talk about segmentation. Why might we want to segment our address space?
To manage memory more flexibly, like having separate stacks and heaps?
Exactly! And with segmentation, we can have multiple page tables for different segments, reducing overall table size. Can you think of the advantage of having separate tables?
If one segment grows, it doesn’t affect the others right away?
Great point! This targeted allocation further optimizes memory usage.
Let’s shift focus to hashed page tables. Why is hashing important in this context?
It allows us to quickly find entries without searching through the entire table?
Exactly! By using a hash function, we can go directly to the relevant entries. Who can explain how this helps with memory usage?
It reduces the size needed for the page table by only keeping what's currently mapped!
Perfect! This is particularly crucial when dealing with large address spaces typical in 64-bit systems.
Now let’s explore inverted page tables. What stands out about them compared to traditional page tables?
Instead of mapping each process, it maps the physical memory directly?
Correct! This means there’s only one page table for the entire physical memory. What are the implications of this?
It saves space but might slow down access because you have to search through the entire table.
Exactly! While it improves overall scalability, it does require efficient search techniques.
Let's apply what we’ve learned. Consider a computer with a 46-bit virtual address and a 32-bit physical address. How might we calculate page sizes with this configuration?
We need to determine how many entries each page has based on the given bits?
Yes! That will help us find the page size. Can anyone summarize the steps needed for this calculation?
First calculate the total and then divide it based on the size of each entry.
Wonderful! This approach illustrates how memory management is crucial for computing systems.
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The section delves into methods for reducing page table sizes through hierarchical page tables and exploring segmentation. It further discusses the distinction between hashed page tables and inverted page tables as techniques for managing larger address spaces, particularly in 64-bit computers.
In this section, we discuss various approaches to manage page tables efficiently in memory management. Hierarchical page tables divide the logical address space into multiple levels to optimize memory use, while also integrating segmentation to cater to scattered address spaces. The section touches upon the significance of hashed page tables in reducing space for address spaces larger than 32 bits, particularly in 64-bit systems, by using a hash function for effective entry retrieval. Lastly, we explore inverted page tables that track physical memory pages rather than per-process page tables, enhancing efficiency but increasing lookup time due to linear searches.
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The next approach that is used to reduce page table sizes is by using hierarchical page tables. So firstly, what did we use? We used a page table length register which was without segmentation, and then we said that typically the virtual address space has a stack part and a heap part to address.
In computing, to manage memory more efficiently, systems use hierarchical page tables. Initially, the page table length register was used without any segmentation to keep track of address spaces within the virtual memory. Virtual memory is divided into sections, including a stack and a heap. This division allows different portions of memory to be utilized for various purposes.
Think of a library where different sections are dedicated to different genres of books. The library has a system to manage how many books each genre can hold, similar to how a computer manages memory through a page table.
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We addressed that by having two segments; one containing possibly the stack, the other containing the heap, and each of these two segments has two page tables.
To efficiently manage the memory allocated to processes, systems can segment the virtual address space into two main parts: the stack and the heap. By creating separate page tables for these segments, the system can accommodate more flexible memory allocation. This approach allows the address space to grow in both directions, improving memory utilization.
Imagine a flexible storage unit divided into two areas: one for documents (stack) and one for supplies (heap). By using separate bins for each type of item, you can manage the inventory more efficiently.
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Now, we come to a hierarchical page tables. The simple scheme in this is a two-level page table. The page number is split into two parts. One is P1; the other is P2.
In a hierarchical page table structure, a virtual address is divided into two parts. The first part (P1) indexes into an outer page table, while the second part (P2) indexes into an inner page table. This structure allows the system to manage memory more effectively by breaking down the address space into multiple levels, making it easier to find the physical address corresponding to the virtual address.
Consider a company with a hierarchical organizational structure. The top level (P1) could be department heads, while the second level (P2) consists of specific teams within those departments. This organization allows for efficient decision-making and resource allocation.
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From P1 I go to the outer page table. The page table base register tells me the position in memory of the start of the outer page table.
When a logical address is processed, the system uses the Page Table Base Register (PTBR) to find the start of the outer page table. It uses the first part of the virtual address (P1) to locate the correct outer table entry. Then, it accesses the inner page table using P2, eventually leading to the physical address by adding the page frame number to the offset.
This is similar to using a map to find a specific house in a town. You first look at a map of the town (the outer table) to find the right neighborhood (the inner table), and then you find the exact address of the house (the physical address).
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Now, two-level paging is not always sufficient. Even two-levels paging is not sufficient for 64-bit computers.
In modern computing, especially with 64-bit architectures, two-level paging can become inadequate due to the vast amount of memory that needs to be addressed. For example, if each page is 4 KB, a single page table could require a very large number of entries, making it impractical. Therefore, more levels of page tables may be needed to effectively manage the memory.
Think of extending a high-rise building with more floors as the number of tenants increases. If each floor can hold limited apartments (pages), additional floors (levels of page tables) must be added to accommodate all tenants.
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The next approach is the use of an inverted page table. Now, the main concept in the inverted page table is that instead of having a page table for each process, we keep track of all physical pages.
The inverted page table simplifies memory management by tracking physical memory pages instead of individual process page tables. This structure contains a single table that holds the mapping of physical pages to their corresponding virtual addresses, thus reducing the amount of memory required for page tables and allowing for more efficient searching.
Consider an apartment building where instead of having separate lists for each tenant (process), there is a single master list of all apartments and their current residents. This way, finding where someone lives becomes easier since you no longer need multiple lists.
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We will take an example and solve a small numerical. A computer uses 46-bit virtual addresses, 32-bit physical addresses, and a three-level page table organization.
The example focuses on calculating the size of a page given the parameters of a three-level page table organization. This involves understanding how many entries each level of the page table can hold and determining the overall size of the tables based on the virtual and physical address sizes.
Calculating the size of a page can be like determining how many boxes you can fit into a storage unit, depending on the dimensions of each box (page) and the overall space (address). Understanding the organization of the items helps in maximizing the use of available space.
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Key Concepts
Hierarchical Page Tables: Structures that break down the page table into multiple levels for efficient memory management.
Segmentation: Strategically dividing the address space to handle different data types and sizes.
Hashed Page Tables: Utilizing hashes to enable quick access to page table entries.
Inverted Page Tables: A single table tracking the physical memory for all processes, improving space efficiency.
See how the concepts apply in real-world scenarios to understand their practical implications.
A system with a 32-bit physical address could utilize a two-level page table structure to limit the size of memory used for managing page translations.
When segmenting memory, a process could allocate memory for its stack and heap separately, leading to more efficient memory usage.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
In pages we sort, from large to small, hierarchical tables, manage them all.
Imagine a library where each floor represents a level of page tables, and you must find your book efficiently among all the levels.
Remember HSI for memory management: Hierarchical for structure, Segmentation for flexibility, Inverted for efficient mapping.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Hierarchical Page Tables
Definition:
A structure that divides page tables into levels, allowing more efficient management of virtual memory.
Term: Segmentation
Definition:
Dividing the address space into segments for more flexible memory management.
Term: Hashed Page Table
Definition:
A technique that uses a hash function to quickly locate entries in a page table.
Term: Inverted Page Table
Definition:
A memory management structure that contains entries for physical memory instead of logical pages of each process.
Term: Page Table Entry
Definition:
A data structure that maps a virtual page number to a physical address.