Direct Mapped Cache Organization
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Interactive Audio Lesson
Listen to a student-teacher conversation explaining the topic in a relatable way.
Memory Address Structure
🔒 Unlock Audio Lesson
Sign up and enroll to listen to this audio lesson
Today, we're diving into the structure of memory addresses in direct mapped cache. The memory address consists of segments: the tag, index, and word offset. Can anyone explain the significance of these segments?
The tag helps identify which data is in cache, while the index tells us which line to check.
And the word offset specifies the exact location of data within a block, right?
Exactly! Remember the acronym T-I-W: Tag, Index, Word offset. This will help you remember the structure.
What happens if there’s a mismatch in the tag?
Good question! That leads us to cache misses. If the tag doesn’t match, we need to access the main memory.
In summary, the tag, index, and word offset play crucial roles in determining data location and access within the cache.
Cache Hits and Misses
🔒 Unlock Audio Lesson
Sign up and enroll to listen to this audio lesson
Next, let's talk about cache hits and misses. Can someone define what a cache hit is?
A cache hit occurs when the data is found in the cache.
And a miss is when it has to fetch data from main memory, right?
Exactly! If a hit occurs, we read the word directly from the cache; otherwise, we fetch it from the main memory. Let’s remember: Hit means 'found,' and Miss means 'not found.'
What affects the likelihood of hits versus misses?
Excellent question! It relates to the 'locality of reference.' Frequently accessed data tends to stay in the cache, increasing hit rates.
In summary, cache hits and misses are essential for understanding how effectively our cache serves memory requests.
Calculating Cache Bits
🔒 Unlock Audio Lesson
Sign up and enroll to listen to this audio lesson
Now, let’s move to calculating cache bits. Who can share how we do this?
We need to know the size of the cache and the size of each line.
And then we calculate the number of lines based on that!
Correct! By dividing the cache size by the block size, we determine the number of cache lines. Every line consists of data bits, tag bits, and a valid bit.
Why is the valid bit important?
The valid bit indicates whether the information stored in a cache line is valid or can be trusted. It is crucial for ensuring data integrity.
In summary, understanding how to calculate the total bits in a cache helps us design efficient memory systems.
Real-World Applications
🔒 Unlock Audio Lesson
Sign up and enroll to listen to this audio lesson
Let’s tie this all together with real-world applications. Can anyone give an example of a system using direct mapped cache?
I read about the Intrinsity FastMATH processor. It has separate instruction and data caches!
And it uses direct mapped cache to optimize speed!
Exactly! By keeping instruction and data caches separate, it improves efficiency. Always consider how real systems implement these concepts!
How does this apply to our programming assignments?
Great question! Understanding cache organization will help us write more efficient code, taking advantage of locality of reference.
In summary, real-world examples illustrate the practical importance of understanding direct mapped cache.
Introduction & Overview
Read summaries of the section's main ideas at different levels of detail.
Quick Overview
Standard
This section explores direct mapped cache organization, detailing how memory addresses are partitioned, the process for handling cache hits and misses, and examples illustrating the functionality of a direct mapped cache system.
Detailed
Detailed Summary
Direct mapped cache is a type of cache architecture where each memory block maps to exactly one cache line. Memory addresses are composed of bits designated for the tag, index, and word offset. The tag compares with the main memory bits for cache hit checks, while an index identifies cache lines. The section emphasizes the mechanism of retrieving data via cache hits and processing cache misses. An illustrative example with specific memory addresses demonstrates accessing the cache, identifying hits and misses, and managing the tags in these operations. Further explanations on calculating the total number of bits in cache organization, including tag bits and valid bits, provide insights into the underlying architecture. The discussion concludes with examples from different processors employing direct mapped cache and emphasizes locality of reference to optimize performance. This section highlights the critical relationship between cache organization, memory management, and system efficiency.
Youtube Videos
Audio Book
Dive deep into the subject with an immersive audiobook experience.
Structure of Direct Mapped Cache
Chapter 1 of 4
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
So, this figure shows the organization of a direct mapped cache. We see that the memory address consists of 𝑠 +𝑤 bits. The tag is 𝑠−𝑟 bits long. The cache line index, the cache index the cache is indexed by an 𝑟 bit length quantity and the each word within a particular block or line is identified by the by this word offset here by this word offset ok.
Detailed Explanation
A direct mapped cache uses a specific organization where memory addresses consist of several bits. The total memory address is made up of 's' (the total number of addressable bits) and 'w' (the number of bits for the word offset). The tag consists of 's - r' bits, which helps identify which block of main memory maps to a specific cache line. The cache itself is indexed by 'r' bits, determining the cache line index, and within each cache line, the words are identified by their respective word offsets.
Examples & Analogies
Imagine a library where 's' is the total number of books (memory addresses), 'r' determines how many shelves (cache lines) there are, and 'w' indicates how each book contains multiple chapters (words). The tag helps librarians quickly find whether a book belongs to a specific shelf.
Cache Hit and Miss Mechanism
Chapter 2 of 4
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
So, to identify whether a particular line is in cache or not what do we do? We first come to the line which is identified by identified by these 𝑟 bits and then we compare the tag field. This is the tag field within the cache, we compare the tag field with the 𝑠−𝑟 main memory bits. If this comparison says is if this comparison is 1, we have a match and a hit in cache. When we have a hit in cache, we read the word we read the corresponding word in the cache and we retrieve it ok.
Detailed Explanation
To determine if the needed data is in the cache, the system first locates the cache line using the 'r' bits. It then checks the cache's tag against the significant bits of the memory address (the 's - r' bits). If the tags match, it's called a cache hit, and the required data can be directly retrieved from the cache. Conversely, if the tags do not match, it signifies a cache miss, prompting the system to fetch the data from the main memory.
Examples & Analogies
Consider a mail sorting facility: workers first check the designated bin for mail (cache line) using a label (tag). If the mail is there (hit), they deliver it immediately. If not (miss), they go back to the main warehouse (main memory) to find the mail.
Example of Cache Operation
Chapter 3 of 4
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
Now we take an example of a very simple example of a direct mapped cache. For this cache we only have 8 blocks or 8 lines in the cache. We have 1 word per block so every word is a block. We have a direct mapped cache and the initial state is all blank.
Detailed Explanation
In this example, the cache has only 8 lines (or blocks), each capable of holding a single word. Initially, all cache lines are empty. As a series of memory addresses are accessed (like 22, 26, 16, etc.), the system checks each address against the cache. If the address is not present in cache (a cache miss), it retrieves the relevant data from main memory and stores it in the appropriate cache line, identified by the address bits.
Examples & Analogies
Think of a classroom with 8 desks. Initially, all desks are empty. As students (memory addresses) come in, they check if their assigned desk is vacant. If it’s not, they have to go to the office (main memory) to get their papers and then sit at their desk.
Cache Replacement on Miss
Chapter 4 of 4
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
Now, 16 is already there in the cache, 16 is already there in the cache. We have a hit, we have a hit right, after that when we access 18 we see that the line is 010. So, when we have 010 we already had 010 which is 26, 26 previously in this position we had we had 010; that means, the tag was 11, there was a mismatch in the tag.
Detailed Explanation
When the address 16 is accessed again, it results in a cache hit since the data is already stored in cache. However, accessing the address 18 requires checking the cache line identified by 010. If that line was previously occupied by another address (like 26), and the tags don't match, it triggers a cache miss. The cache then replaces the outdated block (26) with the new data (18) from main memory.
Examples & Analogies
Imagine a situation where a student (address) returns to their desk (cache) and finds their paper (data) already there. However, when someone else arrives to claim that same desk with a different document (new address), they have to swap papers (replace cached block), ensuring they get the correct one.
Key Concepts
-
Direct Mapped Cache: A cache structure where each block maps to one specific line.
-
Memory Address Structure: Composed of tag, index, and word offset.
-
Cache Hit: Data is found in cache.
-
Cache Miss: Data is not found in cache, needs to access main memory.
-
Locality of Reference: Access patterns where data is accessed nearby in memory space.
Examples & Applications
When accessing memory address 22, it maps to cache line determined by its index, resulting in a cache miss on the first access.
In a 16 KB cache with 4-word blocks, calculating the total bits shows how bits are allocated to data, tag, and valid bits.
Memory Aids
Interactive tools to help you remember key concepts
Rhymes
In a cache, a hit is a treat, a miss means fetch, don’t admit defeat!
Stories
Imagine a school library where every book has a unique color code. The librarian can quickly find a book if it's in the library (cache hit), but if the book is borrowed (cache miss), they have to wait for it to return from outside.
Memory Tools
Remember T-I-W for memory address segments: Tag-Index-Word offset.
Acronyms
Use L-R-A for 'Locality-Reference-Affecting' hits in caching.
Flash Cards
Glossary
- Cache Hit
A situation where the requested data is found in the cache memory.
- Cache Miss
A situation where the requested data is not found in the cache and must be fetched from main memory.
- Tag
The portion of a memory address used to identify a particular cache line.
- Index
The portion of a memory address that determines which cache line to check.
- Word Offset
The portion of a memory address that specifies a specific word within a cache line.
- Locality of Reference
The tendency of a program to access a relatively small portion of its address space repeatedly.
- Valid Bit
A bit that indicates whether the data stored in a cache line is valid.
Reference links
Supplementary resources to enhance your learning experience.