1. Yunju Baek yunju@pusan.ac.kr 2006 spring
Chapter 4 Cache Memory
Yunju Baek
2006 spring

2. Topics Computer Memory System Overview Memory Hierarchy
Cache Memory Principles
Elements of Cache Design
Pentium and PowerPC Cache

3. Computer Memory System Overview
Characteristics of memory systems
Location
Capacity
Unit of transfer
Access method
Performance
Physical type
Physical characteristics
Organization

4. Location CPU: registers, control memory Internal: main memory
External: secondary memory

5. Capacity In terms of words or bytes 1 Byte = 8 bits Word size
The natural unit of organization
size: 8, 16, and 32 bits are common, even 64 bits

6. Unit of Transfer Number of data elements transferred at a time
Internal
Usually governed by data bus width
External
Usually a block which is much larger than a word

7. Addressable Unit Smallest location which can be uniquely addressed
Word or byte
E.g., Motorola 68000
word: 16 bits
internal transfer unit: 16 bits
addressable unit: 8 bits (byte addressable)
Let A = address length in bits
N = # addressable units
 2A = N

8. Access Methods (1) Sequential Data does not have a unique address
Start at the beginning and read through in order
Must read intermediate data items until the desired item found
Access time depends on location of data and previous location
e.g. tape

9. Access Methods (2) Direct Individual blocks have unique addresses
Access is by jumping to vicinity plus sequential search
Access time depends on location and previous location
e.g. disk

10. Access Methods (3) Random
Individual addresses identify locations exactly
Location can be selected randomly and addressed and accessed directly
Access time is independent of location or previous access (i.e., constant)
e.g. RAM

11. Access Methods (4) Associative A variation of random access
Data is located by a comparison with contents of a portion of the store
All words are searched simultaneously
Access time is independent of location or previous access
e.g. cache

12. Performance (1) Access time Memory Cycle time
Time between presenting the address and getting the valid data
For random access memory: time to address data unit and perform transfer
For non-random access memory: time to position hardware mechanism at the desired position
Memory Cycle time
Primarily applied to random access memory
Time may be required for the memory to “recover” before next access
Cycle time is (access time + recovery time)

13. Performance (2) Transfer Rate: R bps
Rate at which data can be transferred in/out of memory
For random access memory, R = 1/(memory cycle time)
For non-random access memory, TN = TA + N/R, where
TN : average time to R/W N bits
TA : average access time
N : # bits

14. Physical Types
Semiconductor
RAM
Magnetic
Disk & Tape
Optical
CD & DVD

15. Physical Characteristics
Decay
Volatility
Erasability
Power consumption

16. Organization Physical arrangement of bits into words
Not always obvious
e.g. interleaved

17. The Bottom Line How much? How fast? How expensive? Capacity
Time is money
How expensive?
Cost/bit

18. Memory Hierarchy (1) Major design objective of memory systems
Provision of adequate storage capacity at
an acceptable level of performance
a reasonable cost
Memory technologies
Smaller access time  greater cost/bit
Greater capacity  smaller cost/bit
Greater capacity  greater access time
 DILEMMA
 Solution: MEMORY HIERARCHY

20. Memory Hierarchy (2) If then How can we validate D)?
Memory organized according to A) - C)
Data and instruction distributed according to D)
then
Overall cost reduced
Level of performance maintained
How can we validate D)?

21. Locality of Reference (1)
Basis for validity of D)
During the course of the execution of a program, memory references tend to cluster
Examples?
Over a long period of time, clusters in used migrate from one locality to another
Over a short period of time, fixed clusters are used primarily
Current locality kept in high speed memory
 average access time reduced

22. Locality of Reference (2)
Spatial locality
Tendency of execution to involve a number of memory locations that are clustered
E.g., sequential instruction access, subroutines, arrays, tables
Temporal locality
Tendency to access memory locations that have been used recently
E.g., iteration loops

23. Typical Memory Hierarchy
Registers
In CPU
Internal or Main memory
May include one or more levels of cache
“RAM”
External memory
Backing store

24. Hierarchy List Registers L1 Cache L2 Cache Main memory Disk cache Disk
Optical
Tape

25. Performance example (1)
Assume 2-level memory system
Level 1: access time T1
Level 2: access time T2
Hit ratio, H: fraction of time a reference can be found in level 1
Average access time,
Tave =
prob(found in level1) x T(found in level1) + prob(not found in level1) x T(not found in level1)
= H xT1 + (1- H ) x (T1+ T2 )
=T1 + (1 - H )T2

26. Performance example (2)
Assume 2-level memory system
Level 1: access time T1 = 1 s
Level 2: access time T2 = 10 s
Hit ratio, H = 95%
Average access time,
Tave = H xT1 + (1- H )x(T1+ T2 ) = .95 x 1 + ( ) X (1 + 10) = X = 1.5 s

27. Performance example (3)
Higher hit ratio
 better performance

28. So you want Speed?
It is possible to build a computer which uses only static RAM (technique for cache)
This would be very fast
This would need no cache
How can you cache cache?
This would cost a very large amount
Stick with memory hierarchy!

29. Cache Memory Principles
Objective
High speed
Large memory size
Less expensive memory system
Cache
Small amount of fast memory
Sits between normal main memory and CPU
May be located on CPU chip or module

30. Cache and Main Memory Cache contains a copy of portions of main memory
smaller, faster larger, slower

31. Cache operation - overview
Consider READ operation
CPU requests contents of memory location
Check cache for this data
If present, get from cache (fast)
If not present, read required block from main memory to cache
Then deliver from cache to CPU
Q: Why delivering a whole block into cache?
Cache includes tags to identify which block of main memory is in each cache slot

33. Typical Cache Organization

34. Cache/Main-Memory Structure
2n addressable words
each word has a unique n-bit address
M fixed length blocks of K words each  M = 2n/K
Cache
C slots (lines) of K words each
C << M

35. Cache/Main-Memory Structure
At any time, some subset of blocks resides in lines
As C << M, each line includes a tag indicating which block is being stored
tag is a portion of an address

36. (line)

37. Elements of Cache Design
Size
Mapping Function
Replacement Algorithm
Write Policy
Block Size
Number of Caches

38. Size does matter Usually 1K - 512K Cost Speed
More cache is more expensive
Speed
More cache is faster (up to a point)
Checking cache for data takes time

39. Comparison of Cache Sizes
Comparison of Cache Sizes
Processor
Type
Year of Introduction
L1 cache
L2 cache
L3 cache
IBM 360/85
Mainframe
1968
16 to 32 KB —
PDP-11/70
Minicomputer
1975
1 KB
VAX 11/780
1978
16 KB
IBM 3033
64 KB
IBM 3090
1985
128 to 256 KB
Intel 80486 PC
1989
8 KB
Pentium
1993
8 KB/8 KB
256 to 512 KB
PowerPC 601
32 KB
PowerPC 620
1996
32 KB/32 KB
PowerPC G4
PC/server
1999
256 KB to 1 MB
2 MB
IBM S/390 G4
1997
256 KB
IBM S/390 G6
8 MB
Pentium 4
2000
IBM SP
High-end server/ supercomputer
64 KB/32 KB
CRAY MTAb
Supercomputer
Itanium
2001
16 KB/16 KB
96 KB
4 MB
SGI Origin 2001
High-end server
Itanium 2
2002
6 MB
IBM POWER5
2003
1.9 MB
36 MB
CRAY XD-1
2004
64 KB/64 KB
1MB
a Two values seperated by a slash refer to instruction and data caches
b Both caches are instruction only; no data caches

40. Mapping Function
Algorithms for mapping main memory blocks to cache lines
Needed, as C << M
Approaches
Direct
Associate
Set Associate

41. Mapping Function Example
Cache of 64KByte
Cache block of 4 bytes
i.e. cache is 16K (214) lines of 4 bytes (why?)
16MBytes main memory, byte addressable
24 bit address
(224 = 16M)
4M blocks
C = 16K, M = 4M, C << M

42. Direct Mapping (1)
Each block of main memory maps to only one possible cache line
i.e. if a block is in cache, it must be in one specific place
Mapping
i = j mod m, where
i : cache line number
j : memory block number
m : number of lines (i.e., C )

43. Direct Mapping (2) Example of mapping: 16 blocks, 4 lines
line blocks
0 0, 4, 8, 12
1 1, 5, 9, 13
2 2, 6, 10, 14
3 3, 7, 11, 15
Which block (in the line)?
No two blocks in the same line have the same Tag field in address
Check contents of cache by finding line and then check Tag

44. Direct Mapping - Address Structure
Address is in 3 fields
Least Significant w bits identify unique word in a block (or line)
Most Significant s bits specify one memory block
The MSBs are split into
cache line field of r bits, where m = 2r (or C = 2r)
tag of s-r (most significant) bits

45. Direct Mapping Cache Line Table
Cache line Main Memory blocks held
0 0, m, 2m, …, 2s-m
1 1, m+1, 2m+1, …, 2s-m+1
: :
m-1 m-1, 2m-1, 3m-1, …, 2s-1

46. Direct Mapping Cache Organization

47. Direct Mapping Example (1)
Tag s-r
Line or Slot r
Word w 14 2 8
24 bit address
2 bit word identifier (4 byte block)
22 bit block identifier
8 bit tag (=22-14)
14 bit slot or line
Again
No two blocks in the same line have the same Tag field
Check contents of cache by finding line and checking Tag

49. Direct Mapping Example (2)
Q1: Where in cache is the word from main memory location 16339D mapped?
0 C E 7
Ans: Line 0CE7, Tag 16, word offset 1
Q2: Where in cache is the word from main memory location ABCDEF mapped?
Tag 8 bits
Line 14 bits
Word 2 bits 01

50. Direct Mapping Summary
Address length = (s + w) bits
Number of addressable units = 2s+w words or bytes
Block size = line size = 2w words or bytes
Number of blocks in main memory = 2s+ w/2w = 2s
Number of lines in cache = m = 2r
Size of tag = (s – r) bits

51. Direct Mapping pros & cons
Advantages
Simple
Inexpensive to implement
Disadvantage
Fixed location for given block
 If a program accesses 2 blocks that map to the
same line repeatedly, cache misses are very high
 These blocks will be continually swapped in and out  Hit ratio will be low

52. Associative Mapping
A main memory block can load into any line of cache
Memory address is interpreted as tag and word
Tag uniquely identifies block of memory
Every line’s tag is examined for a match
Cache searching gets expensive
must simultaneously examine every line’s tag for a match

53. Fully Associative Cache Organization

54. C 7 E

55. Associative Mapping Address Structure Example
Word
2 bit
Tag 22 bit
24 bit address
22 bit tag stored with each 32 bit block of data
Compare tag field with tag entry in cache to check for hit
Least significant 2 bits of address identify which byte is required from 32 bit data block

56. Associative Mapping Example
Word
2 bit
Tag 22 bit
Address Tag Cache line Offset Data
FFFFFC 3FFFFF 3FFF
16339D 058CE DC
ABCDEF ? ? ? ?

57. Associative Mapping Summary
Address length = (s + w) bits
Number of addressable units = 2s+w words or bytes
Block size = line size = 2w words or bytes
Number of blocks in main memory = 2s+ w/2w = 2s
Number of lines in cache = undetermined
Size of tag = s bits

58. Associate Mapping pros & cons
Advantage
Flexible
Disadvantages
Cost
Complex circuit for simultaneous comparison

59. Set Associative Mapping
Compromise between the previous two
Cache is divided into v sets of k lines each
m = v x k, where m: #lines
i = j mod v, where
i : cache set number
j : memory block number
A given block maps to any line in a given set
K-way set associate cache
2-way and 4-way are common

60. Set Associative Mapping Example
m = 16 lines, v = 8 sets
 k = 2 lines/set, 2 way set associative mapping
Assume 32 blocks in memory, i = j mod v
set blocks
0 0, 8, 16, 24
1 1, 9, 17, 25
: :
7 7, 15, 23, 31
A given block can be in one of 2 lines in only one set
e.g., block 17 can be assigned to either line 0 or line 1 in set 1

61. Set Associative Mapping Address Structure
Word
w bit
Tag (s-d) bit
Set d bit
d bits: v = 2d, specify one of v sets
s bits: specify one of 2s blocks
Use set field to determine cache set to look in
Compare tag field simultaneously to see if we have a hit

62. K Way Set Associative Cache Organization

63. Set Associative Mapping Example
Word
2 bit
Tag 9 bit
Set 13 bit
Same example, 2-way set associate
214 lines, 2 lines/set  213 sets  29 blocks can be loaded to either of the two lines in a set
Each block mapped into a set has a unique tag
E.g., Address Tag Set Offset Data
FFFFFF  1FF 7FFF 1FF 1FFF
16339D  02C 339D 02C 0CE DC
ABCDEF ? ? ? ? ?

65. Set Associative Mapping Summary
Address length = (s + w) bits
Number of addressable units = 2s+w words or bytes
Block size = line size = 2w words or bytes
Number of blocks in main memory = 2s
Number of lines in set = k
Number of sets = v = 2d
Number of lines in cache = kv = k * 2d
Size of tag = (s – d) bits

66. Remarks
Why is the simultaneous comparison cheaper here, compared to associate mapping?
Tag is much smaller
Only k tags within a set are compared
Relationship between set associate and the first two: extreme cases of set associate
k = 1  v = m  direct (1 line/set)
k = m  v = 1  associate (one big set)

67. Replacement Algorithms (1) Direct mapping
When a new block is brought into cache, one of existing blocks must be replaced
Direct Mapping
No choice
Each block only maps to one line
Replace that line

68. Replacement Algorithms (2) Associative & Set Associative
Hardware implemented algorithm (speed)
Least Recently used (LRU)
e.g. in 2 way set associative
Which of the 2 block is LRU?
First in first out (FIFO)
replace block that has been in cache longest
Least frequently used
replace block which has had fewest hits
Random

69. Write Policy
Must not overwrite a cache block unless main memory is up to date
Multiple CPUs may have individual caches
I/O may address main memory directly

70. Write through All writes go to main memory as well as cache
Both copies always agree
Multiple CPUs can monitor main memory traffic to keep local (to CPU) cache up to date
Disadvantage
Lots of traffic  bottleneck

71. Write back Updates initially made in cache only
Update bit for cache slot is set when update occurs
If block is to be replaced, write to main memory only if update bit is set, i.e., only if the cache line is dirty, i.e., only if at least one word in the cache line is updated
Other caches get out of sync
I/O must access main memory through cache
N.B. 15% of memory references are writes

72. Block Size Block size = line size
As block size increases from very small
 hit ratio increases because of
“the principle of locality”
As block size becomes very large
 hit ratio decreases as
Number of blocks decreases
Probability of referencing all words in a block decreases
4 - 8 addressable units is reasonable

73. Number of Caches
Two aspects
Number of levels
Unified vs. split

74. Multilevel Caches
Modern CPU has on-chip cache (L1) that increases overall performance
e.g., : 8KB
Pentium: 16KB
PowerPC: up to 64KB
Secondary, off-chip cache (L2) provides high speed access to main memory
Generally 512KB or less

75. Unified vs. Split Unified cache Split cache
Stores data and instructions in one cache
Flexible and can balance the load between data and instruction fetches
 higher hit ratio
Only one cache to design and implement
Split cache
Two caches, one for data and one for instructions
Trend toward split cache
Good for superscalar machines that support parallel execution, prefetch, and pipelining
Overcome cache contention

76. Pentium 4 Cache 80386 – no on chip cache
80486 – 8k using 16 byte lines and four way set associative organization
Pentium (all versions) – two on chip L1 caches
Data & instructions
Pentium III – L3 cache added off chip
Pentium 4
L1 caches
8k bytes
64 byte lines
four way set associative
L2 cache
Feeding both L1 caches
256k
128 byte lines
8 way set associative
L3 cache on chip

77. Processor on which feature first appears
Intel Cache Evolution
Problem
Solution
Processor on which feature first appears
External memory slower than the system bus.
Add external cache using faster memory technology.
386
Increased processor speed results in external bus becoming a bottleneck for cache access.
Move external cache on-chip, operating at the same speed as the processor.
486
Internal cache is rather small, due to limited space on chip
Add external L2 cache using faster technology than main memory
Contention occurs when both the Instruction Prefetcher and the Execution Unit simultaneously require access to the cache. In that case, the Prefetcher is stalled while the Execution Unit’s data access takes place.
Create separate data and instruction caches.
Pentium
Increased processor speed results in external bus becoming a bottleneck for L2 cache access.
Create separate back-side bus that runs at higher speed than the main (front-side) external bus. The BSB is dedicated to the L2 cache.
Pentium Pro
Move L2 cache on to the processor chip.
Pentium II
Some applications deal with massive databases and must have rapid access to large amounts of data. The on-chip caches are too small.
Add external L3 cache.
Pentium III
Move L3 cache on-chip.
Pentium 4

78. Pentium 4 Block Diagram

79. Pentium 4 Core Processor
Fetch/Decode Unit
Fetches instructions from L2 cache
Decode into micro-ops
Store micro-ops in L1 cache
Out of order execution logic
Schedules micro-ops
Based on data dependence and resources
May speculatively execute
Execution units
Execute micro-ops
Data from L1 cache
Results in registers
Memory subsystem
L2 cache and systems bus

80. Pentium 4 Design Reasoning
Decodes instructions into RISC like micro-ops before L1 cache
Micro-ops fixed length
Superscalar pipelining and scheduling
Pentium instructions long & complex
Performance improved by separating decoding from scheduling & pipelining
(More later – ch14)
Data cache is write back
Can be configured to write through
L1 cache controlled by 2 bits in register
CD = cache disable
NW = not write through
2 instructions to invalidate (flush) cache and write back then invalidate
L2 and L3 8-way set-associative
Line size 128 bytes

81. PowerPC Cache Organization
601 – single 32kb 8 way set associative
603 – 16kb (2 x 8kb) two way set associative
604 – 32kb
620 – 64kb
G3 & G4
64kb L1 cache
8 way set associative
256k, 512k or 1M L2 cache
two way set associative G5
32kB instruction cache
64kB data cache

82. PowerPC G5 Block Diagram