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Welcome class! Today, we will learn about direct mapped cache systems. Can anyone tell me what a cache is?
Isn't it a type of memory that stores frequently accessed data?
Exactly! A cache stores data to speed up access times. Now, in a direct mapped cache, each block has a unique line in the cache. Who can remember what 's', 'r', and 'w' stand for in memory addresses?
's' is the total bits in a memory address, 'r' is the bits for the cache index, and 'w' is the number of bits per word!
Excellent! We will use these terms often today. Now, let's explore how these components function together.
Let's talk about what happens when we access data in the cache. Can anyone explain the difference between a cache hit and a cache miss?
A cache hit occurs when the data is already in the cache, while a cache miss happens when it needs to be fetched from the main memory.
Correct! In the case of a hit, we can read from the cache. If there's a miss, we must retrieve the data from main memory. Can anyone give an example of when we have a hit?
When we access the same address twice, the second access would be a hit if it was brought into the cache the first time!
Well done! Now, let's analyze a specific example of memory accesses and see how hits and misses occur.
For our example, let's look at the access sequence: 22, 26, 16, 3, 16, and 18. What happens when we access the address 22 first?
The binary for 22 is 10110. Since the cache is initially empty, it will be a cache miss, and we will load it from the main memory.
Precisely! So we will store it in line 110 with the tag 10. Now, what happens when we access 26 next?
We again have a cache miss since 26 hasn't been loaded yet, and we load it into line 010 with the tag 11.
Great job! Let's continue with the rest of the accesses and analyze how the cache updates.
Now, let's explore a 16 KB cache with 4-word blocks. Can anyone tell me how we calculate the total bits in this cache?
We need to consider the block size, the number of lines, and the tag bits!
Exactly! If the block size is 4 words each, and we find the total number of blocks in main memory, how do we calculate the number of tag bits?
We subtract the bits used for the cache index from the total bits representing the main memory blocks!
Exactly right! This understanding is crucial in analyzing cache efficiency. Now, let's summarize our discussion.
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The section delves into the structure of a direct mapped cache, including memory address breakdowns and examples of cache hits and misses. It also provides practical cases and structured calculations to demonstrate how data is managed within the cache.
In this section, we explore the organization of a direct mapped cache system. The memory address for cache systems comprises 's' plus 'w' bits, where the tag contains 's - r' bits, the cache index, and each word within a cache block is identified by a word offset. The mechanism for checking if a line is present in the cache involves matching the tag field with the corresponding bits from the main memory address.
The section presents a simple example with an initial state of an 8-block cache where all data is initially empty. The example proceeds through a sequence of memory accesses (22, 26, 16, 3, 16, 18), demonstrating hits and misses. For instance, accessing the first address (22) results in a cache miss and prompts loading data from the main memory. The example continues to showcase how the subsequent accesses are managed within the cache, including situations where the data is already present (hits) and the need to replace existing data (cache misses).
Additionally, the section covers a more complex example involving a 16 KB direct mapped cache and calculations associated with cache lines, block sizes, and total bits required, as well as how specific byte addresses map to cache lines. The principles of locality of reference, cache hits, and misses are emphasized to underline the efficiency gains from using cache memory.
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This figure shows the organization of a direct mapped cache. We see that the memory address consists of s plus w bits. The tag is s minus r bits long. The cache line index is indexed by an r bit length quantity, and each word within a particular block or line is identified by this word offset.
In a direct mapped cache, the memory addresses are structured into several components. The total memory address size is the sum of 's' and 'w' bits. Here, 's' represents the total bits required to address memory, 'w' refers to the number of bits for the data (i.e., each word), and 'r' reflects the number of bits specifying the cache line index. The tag of the memory address helps determine if the requested data is present in the cache.
Think of the direct mapped cache like a filing cabinet. Each drawer represents a cache line, and within each drawer, you have folders (blocks) of information. The tag is like the label on the folder that helps you identify what content is inside. When you're looking for a document (data), you check the specific drawer (indexed by r-bits), and then confirm the folder (tag) is the right one.
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To identify whether a particular line is in cache or not, we first match the cache line identified by r bits and compare the tag field with the main memory bits. If this comparison indicates a match, we have a hit in cache. Conversely, if there’s a mismatch, we have a cache miss, requiring us to fetch data from the main memory.
When you request data, the cache checks if it has the data stored (cache hit) by comparing the tag retrieved from the cache with the tag of the requested memory address. If they match, it means the data is already in the cache, and retrieval is immediate. However, if there's no match, it indicates that the cache does not hold the requested data, which is a cache miss. In such a scenario, the system retrieves the data from slower main memory and loads it into the cache for faster access in the future.
Imagine looking for a book in your personal library. If you immediately find the book (cache hit), you can read it right away. If you don't find it (cache miss), you have to go to another library (main memory) to get it. Once you bring it back, you can keep it in your library for the next time.
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In our example, we have a simple direct mapped cache with 8 blocks. Initially, it is empty. Given a memory access sequence of addresses: 22, 26, 16, 3, 16, 18, we process each access to see whether it results in a hit or miss.
We begin with an empty cache and access the addresses one by one. When address 22 is accessed, it causes a cache miss as nothing is stored. The data from memory is fetched and stored in the appropriate cache line. This process is repeated for addresses 26, 16, and 3, resulting in additional misses. However, when we access 16 a second time, it results in a hit since it is already in the cache. Accessing 18 results in another miss due to tag mismatch, prompting a replacement of older data.
If you own a box that can hold 8 small toys, initially it's empty. As you try putting toys in one by one, you realize that the box is only capable of holding a few. When you grab a toy and put it in, it fits perfectly. If you grab another toy that doesn't fit in a place that is already occupied, you'll have to take out an old toy to make space. Lots of grabs and trades happen till you have all your favorite toys in the box.
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For a given cache organization with specific parameters like line size, number of lines, and main memory characteristics, we can calculate the total number of bits in the cache. For instance, a 16 KB direct mapped cache with 4-word blocks would require calculations considering valid bits, tag bits, and line data size.
To determine cache size and parameters, we must evaluate the total cache size against the attributes of the blocks and the cache lines. By knowing the size of data in each block and the number of blocks, we can breakdown the cache's memory usage into valid bits, tag bits, and data bits, providing a comprehensive view of how the cache operates and its efficiency.
Imagine planning a small dinner party. You know your table can hold 16 plates. Each plate has a certain amount of food—if you have 4 serving sizes on each plate, you'll need to keep in mind how many guests you can really serve by calculating how many total plates you need for the number of guests (similar to calculating cache parameters for data).
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Key Concepts
Direct Mapped Cache: Each memory block maps to one cache line.
Cache Hit: When the required data is found in the cache.
Cache Miss: When the required data must be fetched from main memory.
Tag Bits: Used to verify data correspondence in the cache.
Cache Line: A row in the cache that holds a block of memory data.
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For example, accessing memory address 22 results in a cache miss, loading the value into the cache.
When address 16 is accessed after loading, it results in a cache hit as 16 is already present in the cache.
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Cache line's where blocks align, Shapes a structure, oh so fine!
Once in a town of Memory, a cache stood proud with blocks. Whenever a cache hit occurred, the townsfolk cheered, ‘Data is here!’ But when a cache miss rang, they rushed to fetch the data from the Memory Mountain.
H.M. - Hit Memory, Miss Main memory.
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Review the Definitions for terms.
Term: Direct Mapped Cache
Definition:
A cache structure where each block of main memory maps to exactly one cache line.
Term: Cache Hit
Definition:
An occurrence when data requested by the CPU is found in the cache.
Term: Cache Miss
Definition:
An occurrence when data requested by the CPU is not found in the cache and must be retrieved from main memory.
Term: Tag Bits
Definition:
Bits in the memory address used to identify if a block in the cache corresponds to a block in main memory.
Term: Cache Line
Definition:
A single row in the cache memory used to store data from main memory.