Computer Organization and Architecture: A Pedagogical Aspect - 13.1 | 13. TLBs and Page Fault Handling | Computer Organisation and Architecture - Vol 3
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Introduction to Page Tables and Memory Access

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0:00
Teacher
Teacher

Today, we're going to dive into how page tables affect memory access times. Can anyone tell me what a page table is?

Student 1
Student 1

A page table is used to map virtual addresses to physical addresses in memory.

Teacher
Teacher

Exactly! And why do we need this mapping, Student_2?

Student 2
Student 2

Because processes operate in their own virtual address spaces, so we need a way to translate those addresses to actual memory locations.

Teacher
Teacher

Right! Now, what challenge do we face if each memory access requires two accesses due to the page table?

Student 3
Student 3

It could significantly slow down data retrieval from memory.

Teacher
Teacher

Perfect! That's where our next concept, the TLB, comes into play. TLB stands for Translation Lookaside Buffer. It helps avoid extra memory access, right?

Student 4
Student 4

Yes, by caching recent page table entries.

Teacher
Teacher

Great job! Key takeaway: TLBs can minimize access time by preventing the need to check the entire page table for often-referenced data. Let's summarize today's session...

TLB and Page Fault Handling

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0:00
Teacher
Teacher

Now that we understand the TLB, let's talk about what happens when we have a TLB miss. Any ideas?

Student 1
Student 1

We need to go back to the page table in memory to find the required entry.

Teacher
Teacher

Exactly! But sometimes that entry is not even in memory, which leads to a page fault. How does the system handle such faults, Student_3?

Student 3
Student 3

The OS must find a free page frame and load the required page from disk into memory.

Teacher
Teacher

Correct! This process can be time-consuming. What kind of overhead does a page fault introduce?

Student 4
Student 4

It can waste a lot of CPU time, as shown in the example where 52.4% of the CPU time was spent loading page tables.

Teacher
Teacher

Well stated! Always keep in mind that effective TLB management directly affects system performance. Let's wrap up by summarizing our TLB and page fault discussions.

Introduction & Overview

Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.

Quick Overview

This section discusses the methods for improving address translation speed in computer memory, focusing on TLBs and page fault handling.

Standard

In this section, the use of Translation Lookaside Buffers (TLBs) and strategies for efficient page fault handling are explored. The text describes the importance of reducing memory accesses when utilizing page tables, provides examples of hardware-based page tables, and discusses the implications of page table size in various computer architectures.

Detailed

Computer Organization and Architecture: A Pedagogical Aspect

This section provides an in-depth examination of how address translation using page tables can be expedited in computer architecture. Given that page tables are typically stored in main memory, accessing data usually requires two memory accesses: one for fetching the page table entry and another for retrieving the actual data. This dual access causes latency, with memory access times generally being significantly higher than those for cache retrieval.

To mitigate this issue, two primary strategies are employed:
1. Hardware Implementation of Page Tables: In small systems (like embedded systems), page tables can be implemented directly in hardware. During a context switch, all page table registers must be reloaded, which can become impractical in systems with larger address spaces.
2. Translation Lookaside Buffers (TLB): For larger systems, page tables are often kept in memory, utilizing TLBs to speed up the process. TLBs take advantage of the locality of reference inherent in memory accesses. A match in the TLB allows a direct translation from virtual to physical addresses without the need to access the page table in memory. When a TLB miss occurs, the system needs to access the page table, potentially causing a page fault if the necessary data isn't present in memory.

The efficiency of TLBs lies in their size and hit rates, with common configurations allowing for rapid access times and an association that is typically fully associative. Replacement strategies, such as least recently used (LRU), weigh heavily on the costs vs. efficiency of implementation, especially in systems with higher associativity.

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Audio Book

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Introduction to Page Tables and Memory Access

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In the last lecture we saw that in the absence of any measure the sizes of page tables can be huge. Therefore, we studied different techniques by which the sizes of page tables can be controlled. This lecture we will start with the discussion on how address translation using page tables can be made faster. What is the motivation? As we discussed page tables are usually kept in main memory; therefore, for each data reference we will typically require two memory accesses if we do not take any measure. One access of which will be to access the page table entry itself and then when we access the page table entry we get the main memory address or we get the main memory page number and we generate the physical address subsequent to that and then the second memory reference will be to access the actual data that we require from main memory.

Detailed Explanation

This section explains the fundamental challenges associated with page tables in computer architecture. When software needs to access data in memory, it often has to look up the corresponding entry in a page table. This requires two memory accesses: one to get the page table entry and another to fetch the actual data from the main memory. The problem is that accessing main memory is relatively slow compared to cache memory, leading to longer wait times. Thus, there is a need for solutions to reduce the number of memory accesses when handling pages.

Examples & Analogies

Think of page tables like an index in a library. When you want to find a specific book (data), you first need to look it up in the index (page table). If the library had only a few books, this wouldn’t take long. However, if the library has thousands of books and the index isn’t efficient, you’d spend a lot of time just looking up where the book is before you can actually read it.

Strategies for Faster Address Translation

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Now, main memory references are typically very costly with respect to if we had found the data in cache let us say; main memory accesses we said would be of the order of 50 to 70 nanoseconds; as against cache which could be around 5 to 10, 1 to 10 nanoseconds ok, around 5 to 10 nanoseconds. And therefore, it is necessary that we take action to reduce this page table access in main memory. Now, there are two typical strategies which are employed here. The first one is to implement the page table in hardware and the other one is to use a translation lookaside buffer.

Detailed Explanation

To address the slow access time of main memory, two main strategies can be employed. The first strategy involves implementing the page table directly in hardware using dedicated registers, which is effective for systems with smaller page table sizes (like embedded systems). The second strategy is to use a Translation Lookaside Buffer (TLB), a small, fast memory cache that stores recent translations from virtual memory addresses to physical memory addresses, helping speed up the translation process.

Examples & Analogies

Imagine you have a fast-food restaurant. Instead of asking the chef for every order each time someone orders a burger, you could have a small display showing the most popular orders. This way, when a customer asks for a burger that's already displayed, the worker can quickly serve it without needing to go back to the kitchen, just like the TLB helps speed up address translation by providing immediate access to recently used addresses.

Hardware Implementation of Page Tables

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When we implement the page table in hardware how do we do it? We implement the page table using a dedicated set of registers and obviously, it is applicable for systems where the page table sizes will typically be smaller. For example, in embedded systems. Now, during a context switch when a new process has to be brought into the CPU. The CPU dispatcher will reload these page table registers along with other registers and the program counter. In order to restore the save state of a process and activated; so, basically during a context switch what happens? The saved state of a process is brought into cache.

Detailed Explanation

The hardware implementation of page tables relies on using dedicated registers, allowing for quick access to page table entries during context switches. This method is best suited for systems with limited address space, such as embedded systems. During a context switch, the system must save the state of the current process (including all relevant registers and the program counter) and load the saved state for the new process, ensuring that when a process resumes its execution, it continues from where it left off.

Examples & Analogies

Think of this like a bookshelf in a library where certain books are always on the shelf (the page table in hardware) for quick reference. When you want to change the book you are reading (context switch), you simply put the current book back on the shelf and take the new one, allowing for an efficient transition between readings without digging through the entire library.

Challenges with Large Address Spaces

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However, obviously, such hardware implementation of page tables are impractical for computers with very large address spaces. For example, if we have a 32 bit computer and let us say in that computer we use 4 KB pages for example, then I will use 12 bits for the page offset part and therefore, I will have 20 bits for the page numbers. And therefore, we have 210 ×210; 220 entries in the page table which is 1 million; 220; 1 million page table entries and obviously, such very huge sizes of page tables cannot be implemented through registers in hardware.

Detailed Explanation

For computers with larger address spaces, like 32-bit computers using 4KB pages, the sheer size of the page table becomes unmanageable for hardware implementation using standard registers. This means that it wouldn't be practical to keep all the necessary page table entries in hardware, leading to the need for alternative methods for managing page tables effectively.

Examples & Analogies

Think of it like having a wall-mounted trophy case only big enough to hold a handful of trophies. If you're an athlete with a lot of awards, you can't display all of them at once on the wall; instead, you need to pick a few out to show off and store the rest away. This leads to the necessity of making sure you have a smart way to access either by rotating them out or using a catalog somewhere else.

Using Translation Lookaside Buffer (TLB)

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So, therefore the page table base register only needs to be brought in during a context switch. However, when I am implementing this page table in hardware I need to bring in the entire set of registers which is the page table into the hardware after the during the context switch. An example of such hardware implemented page tables is the DEC PDP 11 architecture. The DEC PDP 11 architecture is a 16 bit small computer. So, it has 16 bit logical address space with 8 KB page size. So, therefore, if it is a page 8 KB page size, so therefore, the offset part of the virtual address is 213 bits. So, 210×3, 8 KB; so, 213 bits is the size of the page offset part in the virtual address.

Detailed Explanation

In systems where page tables are large, implementing a TLB allows for quicker access. Instead of having to retrieve the page table entries from main memory every time, frequently accessed entries can be stored in the TLB. This reduces the time required to access memory and optimizes overall system performance. The example of the DEC PDP 11 shows a small computer architecture that effectively uses hardware page tables for a manageable address range.

Examples & Analogies

Imagine a small team's work area where everyone has access to important files on their desks (the TLB). They keep only the most important ones at arm's reach to increase efficiency. Instead of digging through a file cabinet each time they need a document, they have quick access to what they use daily. The cabinet can be large (like a page table in main memory), but having the key files within reach speeds up processes.

Handling Page Faults

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If the data that I am looking for the corresponding to the virtual page number there is this physical page number translation this virtual page number to physical page number translation is not there in the page table in the memory itself; which means that the page is not there in the memory I incur a page fault. And therefore, then I need to find out a free page frame in the memory, bring the page from the disk into main memory and then populate the page table accordingly and half subsequently I need to bring that page table into the translation lookaside buffer.

Detailed Explanation

When a page fault occurs, it indicates that the data the CPU is trying to access is not currently in memory. The system must then find an empty space (page frame) in memory to load the required data from disk. This process is critical as it directly impacts performance; the system needs to manage both the retrieval of the data and updating of the page table to ensure the TLB remains accurate for future references.

Examples & Analogies

Think of a busy restaurant where a customer orders a dish not available in the kitchen. The chef now has to delay the order while a new ingredient is fetched from storage off-site (like the disk). Once the ingredient arrives, the kitchen must update the stock list to know it has it for future orders. This is similar to how the CPU must handle the missing data from memory during a page fault.

Definitions & Key Concepts

Learn essential terms and foundational ideas that form the basis of the topic.

Key Concepts

  • Page Tables: Data structures mapping virtual addresses to physical addresses.

  • Translation Lookaside Buffer: A fast cache for translating virtual memory addresses to physical addresses.

  • Page Faults: Occur when an accessed page is not in memory, invoking the OS to bring it from disk.

  • Context Switching: The procedure that saves and restores process states.

  • Locality of Reference: The tendency of programs to access the same memory locations repeatedly.

Examples & Real-Life Applications

See how the concepts apply in real-world scenarios to understand their practical implications.

Examples

  • In a 32-bit computer with an 8K page size, if each process takes 100 milliseconds and loading the page table takes 52.4 milliseconds, the overhead is evident.

  • In embedded systems, TLBs are often utilized to enhance speed by minimizing page table accesses.

Memory Aids

Use mnemonics, acronyms, or visual cues to help remember key information more easily.

🎵 Rhymes Time

  • In memory, we have tables to keep our data stable; virtual to physical, they do connect, making memory structures perfect.

📖 Fascinating Stories

  • Imagine a librarian (the TLB) who remembers what books (data) were checked out recently. When a patron (a process) asks for a book, the librarian checks their memory. If not, they need to search the entire library (memory).

🧠 Other Memory Gems

  • TLB: Think Load Buffer - it helps load data faster.

🎯 Super Acronyms

PAGES

  • Physical Addresses Get Easily Sorted - remember how page tables work!

Flash Cards

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Glossary of Terms

Review the Definitions for terms.

  • Term: Page Table

    Definition:

    A data structure used to map virtual addresses to physical addresses.

  • Term: TLB (Translation Lookaside Buffer)

    Definition:

    A cache that stores recent translations of virtual memory addresses to physical memory addresses.

  • Term: Page Fault

    Definition:

    An event that occurs when a program accesses a page not currently in main memory, requiring the OS to load it from disk.

  • Term: Context Switch

    Definition:

    The process of storing and restoring the state of a CPU so that multiple processes can share the same CPU.

  • Term: Locality of Reference

    Definition:

    A principle that states that programs tend to access the same set of memory locations repeatedly over a short period.