Page Replacement - 16.2 | 16. Performance Factor of Paging and Caching | Computer Organisation and Architecture - Vol 3
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Understanding CPU Time and Memory Access

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0:00
Teacher
Teacher

Let's begin with how CPU time is calculated. Can anyone tell me what influences CPU execution time?

Student 1
Student 1

Is it just the time it takes to execute instructions?

Teacher
Teacher

Great point! It's not just about executing instructions; it also includes memory stall cycles. Can anyone explain what these stall cycles are?

Student 2
Student 2

Stall cycles occur when the CPU has to wait for data or instructions from memory.

Teacher
Teacher

Exactly! So the formula for CPU time would be the CPU cycles plus the stall cycles. Remember the acronym 'CYCLE' - 'Cycles, Your Circulation of Latency and Execution'.

Student 3
Student 3

Does this mean if I have a high miss rate, I will have a lot of stall cycles?

Teacher
Teacher

Yes, indeed! And understanding miss rates leads us directly to the next important topic: page replacement.

Student 4
Student 4

So, what exactly is page replacement?

Teacher
Teacher

Page replacement is necessary when the physical memory is full. We will explore this further in upcoming sessions.

Defining Page Faults and Their Impact

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Teacher
Teacher

Let's delve into page faults. Who can summarize what a page fault is?

Student 1
Student 1

A page fault happens when the required page is not in physical memory, right?

Teacher
Teacher

Correct! And what happens when we encounter a page fault?

Student 2
Student 2

The system fetches the page from secondary memory to main memory.

Teacher
Teacher

Precisely! Also, there's an important detail about dirty pages. Can anyone tell me how they impact the latency of a page fault?

Student 3
Student 3

If a page is dirty, it takes longer because it has to be written back to disk before replacing.

Teacher
Teacher

Exactly! Remember, the term 'DIRTY' can remind you that dirty pages take more time. Keep that in mind when we discuss page replacement.

Student 4
Student 4

What's the ideal way to manage page replacement then?

Teacher
Teacher

That's a great segue into our next discussion about page replacement algorithms, starting with FIFO.

FIFO Page Replacement Algorithm

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Teacher
Teacher

Now, let’s talk about the FIFO page replacement algorithm. Can anyone describe how this works?

Student 1
Student 1

Doesn’t it replace the oldest page in memory?

Teacher
Teacher

Exactly! We remove the page that was loaded first. Let's use a mnemonic: 'FIRST OUT, LAST IN' to remember FIFO.

Student 2
Student 2

Is it easy to implement?

Teacher
Teacher

Yes! It's very simple because you just need to keep track of which pages were added first. Can anyone think of the pros and cons?

Student 3
Student 3

I guess the pro is its simplicity, but the con might be that it doesn't always keep frequently used pages in memory.

Teacher
Teacher

Exactly! Remember—'Simple but Sometimes Unwise' for FIFO’s trade-off. We'll explore more complex algorithms later.

Introduction & Overview

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

Quick Overview

This section discusses page replacement algorithms and their significance in optimizing CPU performance during data access.

Standard

The section examines the impact of memory stall cycles on CPU execution time and introduces page replacement algorithms that are crucial for maintaining efficient memory management. Key concepts like memory access time, page faults, and the types of page replacement strategies are explored in depth.

Detailed

Detailed Summary

The section delves into pivotal concepts that affect CPU performance, particularly the role of paging and caching. It begins by defining CPU time in terms of clock cycles and stalls, highlighting the cumulative impact of memory stall cycles on execution time.

Memory Access Time

A key formula is presented: the CPU execution time is derived from the number of cycles in which the CPU operates, plus the stalls incurred while waiting for memory access, factoring in the cache hit/miss rates and their respective penalties. Specific examples, including mathematical calculations for effective cycles per instruction (CPI), illustrate how miss rates affect performance. For instance, the impact of a 10% miss rate on data accesses incurs a significant costs to the overall execution time, raising it from a base CPI to a higher effective CPI.

Page Replacement Necessity

The discussion segues into the necessity of page replacement when physical memory is insufficient. It elucidates the concept of page faults, which occur when data is unavailable in physical memory, necessitating it to be fetched from disk—a scenario that can greatly impede performance depending on whether the accessed pages are 'dirty' or require writing back to disk. The section specifies average memory access time (AMAT) and how this is affected by page fault rates.

Page Replacement Algorithms

Lastly, the section gradually introduces the first-in-first-out (FIFO) page replacement algorithm, which removes the oldest page from memory. The significance of maintaining a low page fault rate and the factors that affect it, like locality of reference, is emphasized as key to efficient page management.

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Audio Book

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Overview of Page Replacement

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So, now we move to the next topic of discussion which is page replacement. So, just to brush up, we discussed about the page replacement, but we will now discuss about algorithms just to brush up as to why we require page replacement. So, in paging if a page is not in physical memory, it has to be replaced though if in paging if the page is not in physical memory we have to find the page on the disk, find a free frame in the physical memory and then bring the page into memory and put it in that free frame.

Detailed Explanation

Page replacement is crucial in memory management to ensure that the CPU can access the necessary data efficiently. When a required page is not available in physical memory, it must be retrieved from disk storage, introducing a performance penalty. The system must find a free frame in the physical memory. If no free space exists, a page replacement strategy is employed to decide which currently loaded page should be removed to make space for the new one.

Examples & Analogies

Think of a library where books (pages) are stored. If a person wants a book that is currently checked out (not in physical memory), they have to request that book to be returned. If all the tables (physical memory frames) in the library are occupied and someone else wants to read a book, the librarian must decide which book to ask someone to return (page replacement) so that the requested book can be provided.

Why Page Replacement is Necessary

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So, I need page replacement when memory is exhausted; if there is free page in memory then use it. During replacement if I have a I don’t need any replacement I just need to bring the page into a free page, if a free page in memory exists free page frame exists, there is no need of replacement if not, I have to select a victim frame and herein comes replacement, write the victim out to the disk read the desired page into the now free frame update page tables and restart the process.

Detailed Explanation

Page replacement becomes essential when the available physical memory is full. If there are free pages available, the system can load the new page directly into that space. However, if all physical pages are occupied, the operating system must choose an existing page to evict. This evicted page is sometimes referred to as the 'victim'. The system saves the victim's current state, writes it to disk if necessary, loads the new page into the now-free frame, updates the page tables to reflect this change, and allows the process to continue.

Examples & Analogies

Imagine a parking lot (physical memory) that is full. If a new car (page) arrives, and there are no empty spaces, the parking attendant must ask one of the cars already parked for a certain duration to leave (victim selection) and move it to a different lot (disk storage) so the new car can park.

Goal of Page Replacement Algorithms

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So, the main objective of a good replacement algorithm is to achieve a low page fault rate. So, page fault should be very low as I as we saw that if the page fault rates are not very low, the effective memory access times becomes will become very high.

Detailed Explanation

The effectiveness of a page replacement algorithm is measured by its ability to keep the page fault rate low. A page fault occurs when a program tries to access a page that is not currently in physical memory, leading to delays as the system retrieves it. A good page replacement strategy ensures that the frequently accessed pages remain in memory to minimize these occurrences, thereby improving overall system performance by reducing the waiting time for data retrieval.

Examples & Analogies

Think of a shop where products are stored in limited shelf space (memory). If customers frequently request popular items (pages), the staff must ensure these items are always in stock. If the shelves are filled with less popular items, the store may run into a situation where they have to keep retrieving popular items from a storage room (disk), leading to customer dissatisfaction and delays. Thus, maintaining a low page fault rate is similar to keeping the right products on the shelves to best serve customers.

Objectives of a Good Page Replacement Algorithm

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Now, a low page fault rate ensures that heavily used pages stay in memory how can we ensure a low page fault rate by ensuring that heavily used pages stay in memory I do not evict heavily used pages out of main memory and the why is this so, because of the locality of reference.

Detailed Explanation

A well-designed page replacement algorithm aims to ensure that pages that are frequently accessed remain in memory. This is based on the principle of locality of reference, which suggests that programs tend to access a relatively small range of pages at any given time. By keeping frequently accessed pages in memory, the algorithm reduces the likelihood of page faults and improves overall program responsiveness and speed.

Examples & Analogies

Imagine a student who often needs access to a specific set of textbooks (heavily used pages) for their studies. If the student keeps those textbooks on their desk (in memory) instead of storing them away in a bookshelf (disk storage), they can study efficiently without having to waste time retrieving the books repeatedly.

Reducing Latency of Page Faults

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The secondary objective of page replacement is to reduce latency of a page fault. So, how do I reduce latency of a page fault by using efficient code for handling a page fault and by replacing pages that do not need to be written out.

Detailed Explanation

In addition to minimizing the number of page faults, an effective page replacement strategy should also reduce the delay associated with handling those faults. This can be achieved by streamlining the fault handling process, such as quickly determining if a page can be replaced without writing changes back to disk (if it is not dirty). Handling non-dirty pages allows for quicker access as they can simply be discarded without additional overhead.

Examples & Analogies

Think of a scenario in a restaurant where the servers (memory system) handle orders (page faults). When a customer suddenly changes an order (pages needed), if the server can quickly replace an order without re-preparing the meal (e.g., returning an unused ingredient), the process is faster. However, if the server has to prepare a whole new dish (write back to the disk), it takes much longer.

Reference Strings

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So, before going into specific algorithms, we will we will understand, what is called a reference string. A reference string is a sequence of pages that are being referenced.

Detailed Explanation

A reference string is crucial for understanding page replacement algorithms as it outlines the exact sequence in which pages are accessed by a program. This sequence allows the algorithm to strategize which pages to keep in memory and which to replace based on actual usage patterns.

Examples & Analogies

Consider a playlist of songs where each song represents a page in memory. The order in which the songs are played (reference string) helps the system (or the user) determine which songs to keep on hand for easy access and which songs might be deleted from the playlist. The more frequently a song is played, the more likely it will remain in the playlist.

Definitions & Key Concepts

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

Key Concepts

  • CPU Time: The total time taken by the CPU to execute instructions including execution cycles and stall cycles.

  • Page Fault: Occurs when the requested page is not found in memory, requiring retrieval from secondary storage.

  • Stall Cycles: Periods of time when the CPU is waiting for data, leading to increased latency.

  • Replacement Algorithm: A strategy for selecting which page to remove from memory when a new page is required.

Examples & Real-Life Applications

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

Examples

  • In a scenario where 10% of loads result in page faults with a miss penalty of 50 cycles, the effective CPI increases due to these stalls.

  • In FIFO, if the oldest page in memory is page 3 and a new request comes for page 5, page 3 is removed to make space for page 5.

Memory Aids

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

🎵 Rhymes Time

  • If a page is out of sight, fetch it quick or take a flight!

📖 Fascinating Stories

  • Imagine you're a librarian. Each time you get a new book, you look at the oldest one on the shelf and decide to remove it to make space.

🧠 Other Memory Gems

  • Remember 'DIRTY' pages take longer: D = Delay, I = Incur, R = Recourse, T = Time, Y = Yield.

🎯 Super Acronyms

Use the acronym 'CRISP' to remember CPU time

  • C: = Cycles
  • R: = Resources
  • I: = Instructions
  • S: = Stall
  • P: = Penalty.

Flash Cards

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Glossary of Terms

Review the Definitions for terms.

  • Term: Page Replacement

    Definition:

    The process of replacing a page in memory when it is full, typically involving selecting a 'victim' page to remove.

  • Term: Page Fault

    Definition:

    An event that occurs when a program requests a page that is not present in main memory.

  • Term: Stall Cycles

    Definition:

    Cycles during which the CPU is idle, waiting for data from memory.

  • Term: Effective Memory Access Time (EMAT)

    Definition:

    The average time to access memory, accounting for hit and miss rates and associated latencies.

  • Term: Locality of Reference

    Definition:

    The tendency of programs to access a relatively small portion of memory repeatedly over a short period.