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Today we’re discussing page faults. Can anyone tell me what a page fault is?
Isn't it when the program tries to access a page that isn't in physical memory?
Exactly right! A page fault occurs when the required data isn't found in physical memory and needs to be fetched from secondary storage. Remember, this process can take millions of nanoseconds!
Why is that such a big deal?
Good question! The high access time to secondary storage can severely slow down a program's performance. This is often referred to as the 'page fault penalty.'
So, how do we avoid page faults?
We can optimize page sizes and use effective memory management strategies to maximize locality of reference. It’s all about trying to keep data within the physical memory as much as possible.
Summarizing, a page fault is a significant delay caused when data isn't present in physical memory, and strategic optimizations can help minimize these faults.
Now, let’s move on to page tables. Can anyone explain what a page table is?
Isn't it a data structure that maps virtual addresses to physical addresses?
Perfect! Each process has its own page table that consists of entries indexed by virtual page numbers. So, what information does each entry hold?
It holds the physical page frame number and some additional bits, like a valid bit and dirty bit.
Exactly right! The valid bit indicates whether the mapping is legitimate, while the dirty bit shows if the page has been modified. This is important during page replacement.
What happens if the valid bit is off?
That’s a great question! If the valid bit is off, you have a page fault, and the needed page must be loaded from the swap space on the disk.
In summary, page tables are crucial for managing virtual memory, allowing the system to efficiently translate addresses and manage page faults.
Let’s now look at how the CPU translates virtual addresses into physical addresses. Who can explain the steps involved?
First, the CPU generates a virtual address with two parts: the virtual page number and the offset.
Exactly! The offset part directly maps to the physical address as well without modification. What comes next?
We then look up this virtual page number in the page table to determine the physical page number.
Correct! If the entry is valid, we can combine that physical page number with the offset to form the complete physical address.
And if it's not valid?
If it's not valid, we trigger a page fault and have to load the page from secondary storage. Remember, minimizing page faults is crucial for performance.
To summarize, address translation involves combining the virtual page number lookup in the table with the offset, ensuring efficiency by managing page validity.
In memory management, how do we deal with page replacement effectively?
We use replacement algorithms to determine which page to swap out when one needs to be loaded.
Exactly! Algorithms like Least Recently Used (LRU) help manage which page to keep in memory. Why is this important?
Because if we don't manage it well, we could end up with more page faults!
Well said! Efficient replacement strategies can dramatically reduce page faults, thus improving performance. Can anyone think of another strategy?
I know that smart replacements can be implemented in software, right?
That's correct! Handling page faults in software allows for employing these smarter algorithms to reduce costs. To sum it up, efficient page replacement strategies are key to managing memory effectively.
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The section delves into the mechanics of virtual memory, explaining page faults, the significance of page sizes, and the structure of page tables used for address translation, while also addressing the high cost associated with page faults due to secondary storage access times.
The translation of virtual addresses to physical addresses is a crucial aspect of modern memory management in computer systems. Virtual memory allows applications to utilize a larger address space than is physically available, with addresses divided into pages. When a program accesses a virtual address corresponding to a page not currently in physical memory, a page fault occurs. This not only halts the program but also incurs significant delays due to the time-consuming process required to retrieve the missing page from secondary storage, typically involving millions of nanoseconds of access time compared to the nanoseconds required for accessing main memory.
Addressing page faults involves optimizing several factors, including the decision on page sizes, which should be balanced to minimize the frequency of accessing secondary storage. Modern page sizes typically range from 4 KB to 64 KB to ensure data locality and efficiency. Moreover, embedded systems usually favor smaller page sizes of around 1 KB due to resource constraints and predictable memory access patterns.
Additionally, the page table serves as a crucial data structure for mapping virtual pages to physical page frames. It contains entries for each virtual page, including the physical page frame number and control bits such as valid bits and dirty bits, indicating whether a page is present in memory or has been modified. During a context switch, the CPU uses a page table register that points to the current page table for accessing the appropriate mapping.
Through the organization of page tables, the efficient handling of page faults, and the associated write-back caching mechanism, effective memory management can significantly enhance system performance while minimizing expensive page faults.
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Now page as I told that if for a corresponding virtual corresponding virtual page number the physical page is not there is there is not a proper translation of the virtual page to a physical page, I have a page fault. What does that mean? I have loaded a virtual address, for that I have a virtual page number, the translation told me that corresponding to that virtual page number this virtual page does not currently reside in physical memory.
A page fault occurs when the system tries to access a virtual page that is not currently in physical memory. To resolve this, the system will first need to fetch the required page from secondary storage (like a hard disk) into physical memory. This process is necessary to allow the CPU to access the data or code associated with that virtual address.
Imagine looking for a book in a library. If the book you want is checked out or missing from the shelves (similar to a page fault), you can't read it right away. Instead, you might have to request it from another library or wait until it's returned. Only then can you access the information you need.
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So, when I don’t have the data in the physical page corresponding to a virtual address I have a page fault. Now page faults can be the page fault penalty for virtual memories is very high. Why because the access times on the secondary storage is very high. Now to access a, whereas let us say for accessing the main memory I will only take around say 50 to 70 nanoseconds for accessing the accessing the secondary storage I may take millions of nanoseconds.
Accessing data from main memory is substantially faster (about 50-70 nanoseconds) than accessing data from secondary storage. For example, accessing a disk might take millions of nanoseconds. This discrepancy is what makes the penalty for page faults so high; it can drastically slow down performance when a page fault occurs.
Think of it like finding a page on the internet versus looking through a thick book to find the same information. Searching the internet can often be quick, but if you have to physically dig through a dense textbook and search multiple sections, it can take a lot longer, especially if you have to go to another library to get that book.
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The first one is that the page size that we decide like we have to decide what should be the size of a block of cache. Similarly we have to decide what should be the size of a page. Now page sizes should be large enough to amortize the high cost of accessing the secondary storage.
Choosing the right size for a page is crucial. If the page size is larger, when data is fetched from secondary storage, more relevant data can be brought in at once, reducing the likelihood of subsequent page faults since future requests may still be within the same page. This allows efficient use of memory and reduces costs associated with accessing secondary storage.
Imagine packing a suitcase for a trip. If you pack large boxes, you can fit more items at once, which reduces the number of trips you have to take to and from your home to the car. On the other hand, if you only choose small bags, you will have to make more trips, just like accessing smaller page sizes can lead to more frequent page faults.
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However, for embedded systems page sizes are typically lower of the order of 1 KB. This is this is one reason for this is that it could be that embedded systems are resource constrained. So, their memories are lower and bigger the page sizes bigger becomes the internal fragmentation of the last page.
In embedded systems, smaller page sizes are often used due to resource constraints. Larger page sizes could lead to more internal fragmentation, meaning wasted space within a page. This is important for devices that have limited memory to efficiently manage their available resources.
This is like a small apartment that only has a limited amount of shelf space. If you buy a large container for spices (large page size), but only have a few spices to store, you end up wasting space on the shelf because the container won’t be full. Instead, using smaller bottles saves space and allows for more items to be stored without waste.
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So virtual memories are typically use fully associative placement of pages in main memory.... However, because page faults are very expensive compared to that this the compared to that handling page faults in software is much lower in cost.
Virtual memory systems often favor fully associative mapping for placing pages in memory, allowing a virtual page to be mapped to any physical frame. Although searching for a page in this setup can be more complex, it is beneficial because it minimizes page faults, which are costly. Managing page faults in software is another strategy that helps handle these issues more flexibly.
Think of a fully associative mapping as an open parking lot where any car can park in any space. This flexibility allows drivers to find a spot more easily (minimizing page faults). In contrast, a restricted parking zone (set associative) only allows certain cars in specific spaces, which might be less efficient if the best spots are taken.
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So, we look in more detail as to how virtual address to physical address translation is done. This translation is done through a data structure called page tables.
Page tables are key structures in managing virtual memory. They store the mappings between virtual page numbers and physical page frames. Each process has its own page table, which ensures that virtual addresses are correctly mapped to physical addresses in memory.
Imagine a library's catalog system. Each book (process) is indexed in the catalog (page table) where you can find exactly where to locate it on the shelves (physical memory). It allows for quick retrieval of books without confusion, just as page tables help the computer quickly locate the needed data in memory.
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If a page is present in memory PTE stores the physical page number, and it can store other bits such as reference bits, dirty bits etcetera.
Page Table Entries (PTE) store crucial information about each page, such as whether the page is currently in memory and if it has been modified. Reference bits help the system track whether a page has been accessed recently, which can inform which pages to keep or evict from physical memory.
Think of a clipboard used to keep track of assignments (PTE) in a classroom. If an assignment (page) is completed (present in memory), the teacher (system) checks it off. If students frequently revisit certain assignments, those are marked, helping the teacher know which assignments they might want to keep for future reference.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Page Fault: A major delay incurred when accessing memory that is not currently mapped.
Page Table: Important structure that keeps track of the mapping of virtual pages to physical memory.
Valid and Dirty Bits: Control mechanisms in page tables determining the state of each page.
See how the concepts apply in real-world scenarios to understand their practical implications.
If a process's virtual address space requires accessing an outdated page in memory, a page fault may occur, necessitating loading the page from disk.
If the page size is set to 16 KB, and the program only needs 10 KB, there may be internal fragmentation leading to wasted memory space.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
When your page is not found, don’t fret and frown, just blame the fault and bring it back round.
Imagine a busy library where a librarian must fetch books from a storage room whenever a reader requests a title not on the shelf. Each time, the delay causes frustration, just like a page fault delaying a program's execution.
Remember 'VLP' - Valid indicates Loaded Present. Check this to know if a page needs loading!
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Page Fault
Definition:
An event that occurs when a program accesses a page that is not currently mapped to physical memory.
Term: Page Table
Definition:
A data structure used to maintain the mapping between virtual addresses and physical addresses.
Term: Virtual Address
Definition:
An address generated by the CPU that may not correspond directly to a physical memory address.
Term: Physical Address
Definition:
An address that directly points to a location in the physical memory.
Term: Valid Bit
Definition:
A bit in a page table entry that indicates whether the page is currently in physical memory.
Term: Dirty Bit
Definition:
A bit in a page table entry that indicates whether a page has been modified since it was loaded into memory.
Term: Locality of Reference
Definition:
The tendency of a processor to access the same set of memory locations repetitively over a short period.