cache memory
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This document discusses the key characteristics of computer memory, including location, capacity, unit of transfer, access methods, performance, physical type, physical characteristics, and organization. It covers different types of memory like CPU registers, main memory, cache, disk, and tape. The different access methods like sequential, direct, random, and associative access are explained. The memory hierarchy and performance aspects like access time, memory cycle time, and transfer rate are defined. Factors like cache size, mapping function, replacement algorithm, write policy, block size that impact cache performance are also summarized.
cache memory
- 2. Characteristics Location Capacity Unit of transfer Access method Performance Physical type Physical characteristics Organisation
- 4. Capacity Word size The natural unit of organisation Number of words or Bytes
- 5. Unit of Transfer Internal Usually governed by data bus width External Usually a block which is much larger than a word Addressable unit Smallest location which can be uniquely addressed Word internally Cluster on M$ disks
- 6. Access Methods (1) Sequential Start at the beginning and read through in order Access time depends on location of data and previous location e.g. tape Direct Individual blocks have unique address Access is by jumping to vicinity plus sequential search Access time depends on location and previous location e.g. disk
- 7. Access Methods (2) Random Individual addresses identify locations exactly Access time is independent of location or previous access e.g. RAM Associative Data is located by a comparison with contents of a portion of the store Access time is independent of location or previous access e.g. cache
- 8. Memory Hierarchy Registers In CPU Internal or Main memory May include one or more levels of cache “RAM” External memory Backing store
- 9. Memory Hierarchy - Diagram
- 10. Performance Access time Time between presenting the address and getting the valid data Memory Cycle time Time may be required for the memory to “recover” before next access Cycle time is access + recovery Transfer Rate Rate at which data can be moved
- 11. Physical Types Semiconductor RAM Magnetic Disk & Tape Optical CD & DVD Others Bubble Hologram
- 13. Organisation Physical arrangement of bits into words Not always obvious e.g. interleaved
- 14. The Bottom Line How much? Capacity How fast? Time is money How expensive?
- 15. Hierarchy List Registers L1 Cache L2 Cache Main memory Disk cache Disk Optical Tape
- 16. So you want fast? It is possible to build a computer which uses only static RAM (see later) This would be very fast This would need no cache How can you cache cache? This would cost a very large amount
- 17. Locality of Reference During the course of the execution of a program, memory references tend to cluster e.g. loops
- 18. Cache Small amount of fast memory Sits between normal main memory and CPU May be located on CPU chip or module
- 19. Cache and Main Memory
- 21. Cache operation – overview 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 Cache includes tags to identify which block of main memory is in each cache slot
- 22. Cache Read Operation Flowchart
- 23. Cache Design Addressing Size Mapping Function Replacement Algorithm Write Policy Block Size Number of Caches
- 24. Cache Addressing Where does cache sit? Between processor and virtual memory management unit Between MMU and main memory Logical cache (virtual cache) stores data using virtual addresses Processor accesses cache directly, not thorough physical cache Cache access faster, before MMU address translation Virtual addresses use same address space for different applications Must flush cache on each context switch Physical cache stores data using main memory physical addresses
- 25. Size does matter Cost More cache is expensive Speed More cache is faster (up to a point) Checking cache for data takes time
- 27. Comparison of Cache Sizes L1 cache L2 cache L3 cache Mainframe Year of Introduction 1968 16 to 32 KB — — PDP-11/70 Minicomputer 1975 1 KB — — VAX 11/780 Minicomputer 1978 16 KB — — IBM 3033 IBM 3090 Mainframe Mainframe 1978 1985 64 KB 128 to 256 KB — — — — Intel 80486 PC 1989 8 KB — — Pentium PC 1993 8 KB/8 KB 256 to 512 KB — PowerPC 601 PC 1993 32 KB — — PowerPC 620 PC 1996 32 KB/32 KB — — PowerPC G4 PC/server 1999 32 KB/32 KB 256 KB to 1 MB 2 MB IBM S/390 G4 Mainframe 1997 32 KB 256 KB 2 MB IBM S/390 G6 Mainframe 1999 256 KB 8 MB — Pentium 4 2000 8 KB/8 KB 256 KB — 2000 64 KB/32 KB 8 MB — CRAY MTAb PC/server High-end server/ supercomputer Supercomputer 2000 8 KB 2 MB — Itanium PC/server 2001 16 KB/16 KB 96 KB 4 MB SGI Origin 2001 High-end server 2001 32 KB/32 KB 4 MB — Itanium 2 PC/server 2002 32 KB 256 KB 6 MB IBM POWER5 High-end server 2003 64 KB 1.9 MB 36 MB CRAY XD-1 Supercomputer 2004 64 KB/64 KB 1MB — Processor Type IBM 360/85 IBM SP
- 28. Mapping Function Cache of 64kByte Cache block of 4 bytes i.e. cache is 16k (214) lines of 4 bytes 16MBytes main memory 24 bit address (224=16M)
- 29. Direct Mapping Each block of main memory maps to only one cache line i.e. if a block is in cache, it must be in one specific place Address is in two parts Least Significant w bits identify unique word Most Significant s bits specify one memory block The MSBs are split into a cache line field r and a tag of s-r (most significant)
- 30. Direct Mapping Address Structure Tag s-r Line or Slot r 8 14 24 bit address 2 bit word identifier (4 byte block) 22 bit block identifier 8 bit tag (=22-14) 14 bit slot or line No two blocks in the same line have the same Tag field Check contents of cache by finding line and checking Tag Word w 2
- 31. Direct Mapping from Cache to Main Memory
- 32. Direct Mapping Cache Line Table Cache line Main Memory blocks held 0 0, m, 2m, 3m…2s-m 1 1,m+1, 2m+1…2s-m+1 … m-1 m-1, 2m-1,3m-1…2s-1
- 34. Mapping Example
- 35. 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
- 36. Direct Mapping pros & cons Simple Inexpensive Fixed location for given block If a program accesses 2 blocks that map to the same line repeatedly, cache misses are very high
- 37. Victim Cache Lower miss penalty Remember what was discarded Already fetched Use again with little penalty Fully associative 4 to 16 cache lines Between direct mapped L1 cache and next memory level
- 38. 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
- 39. Associative Mapping from Cache to Main Memory
- 41. Mapping Example
- 42. Associative Mapping Address Structure Word 2 bit Tag 22 bit 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 16 bit word is required from 32 bit data block e.g. Address FFFFFC Tag Data FFFFFC 24682468 Cache line 3FFF
- 43. 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
- 44. Set Associative Mapping Cache is divided into a number of sets Each set contains a number of lines A given block maps to any line in a given set e.g. Block B can be in any line of set i e.g. 2 lines per set 2 way associative mapping A given block can be in one of 2 lines in only one set
- 45. Set Associative Mapping Example 13 bit set number Block number in main memory is modulo 213 000000, 00A000, 00B000, 00C000 … map to same set
- 46. Mapping From Main Memory to Cache: v Associative
- 47. Mapping From Main Memory to Cache: k-way Associative
- 48. K-Way Set Associative Cache Organization
- 49. Set Associative Mapping Address Structure 13 bit Tag 9 bit Set Use set field to determine cache set to look in Compare tag field to see if we have a hit e.g Address 1FF 7FFC 001 7FFC Tag 1FF 001 Data 12345678 11223344 Set number 1FFF 1FFF Word 2 bit
- 50. Two Way Set Associative Mapping Example
- 51. 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 = 2d 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
- 52. Direct and Set Associative Cache Performance Differences Significant up to at least 64kB for 2-way Difference between 2-way and 4-way at 4kB much less than 4kB to 8kB Cache complexity increases with associativity Not justified against increasing cache to 8kB or 16kB Above 32kB gives no improvement (simulation results)
- 53. Figure 4.16 Varying Associativity over Cache Size
- 54. Replacement Algorithms (1) Direct mapping No choice Each block only maps to one line Replace that line
- 55. 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
- 56. 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
- 57. Write through All writes go to main memory as well as cache Multiple CPUs can monitor main memory traffic to keep local (to CPU) cache up to date Lots of traffic Slows down writes Remember bogus write through caches!
- 58. 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 Other caches get out of sync I/O must access main memory through cache N.B. 15% of memory references are writes
- 59. Line Size Retrieve not only desired word but a number of adjacent words as well Increased block size will increase hit ratio at first the principle of locality Hit ratio will decreases as block becomes even bigger Probability of using newly fetched information becomes less than probability of reusing replaced Larger blocks Reduce number of blocks that fit in cache Data overwritten shortly after being fetched Each additional word is less local so less likely to be needed No definitive optimum value has been found 8 to 64 bytes seems reasonable For HPC systems, 64- and 128-byte most common
- 60. Multilevel Caches High logic density enables caches on chip Faster than bus access Frees bus for other transfers Common to use both on and off chip cache L1 on chip, L2 off chip in static RAM L2 access much faster than DRAM or ROM L2 often uses separate data path L2 may now be on chip Resulting in L3 cache Bus access or now on chip…
- 61. Hit Ratio (L1 & L2) For 8 kbytes and 16 kbyte L1
- 62. Unified v Split Caches One cache for data and instructions or two, one for data and one for instructions Advantages of unified cache Higher hit rate Balances load of instruction and data fetch Only one cache to design & implement Advantages of split cache Eliminates cache contention between instruction fetch/decode unit and execution unit Important in pipelining
- 63. 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
- 64. Problem Solution Processor on which feature first appears Add external cache using faster memory technology. 386 External memory slower than the system bus. 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. 486 486 Internal cache is rather small, due to limited space on chip Add external L2 cache using faster technology than main memory Create separate data and instruction caches. Pentium 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 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. Increased processor speed results in external bus becoming a bottleneck for L2 cache access. Move L2 cache on to the processor chip. Some applications deal with massive databases and must have rapid access to large amounts of data. The on-chip caches are too small. Pentium II Add external L3 cache. Pentium III Move L3 cache on-chip. Pentium 4
- 65. Pentium 4 Block Diagram
- 66. 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
- 67. 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
- 68. ARM Cache Organization Small FIFO write buffer Enhances memory write performance Between cache and main memory Small c.f. cache Data put in write buffer at processor clock speed Processor continues execution External write in parallel until empty If buffer full, processor stalls Data in write buffer not available until written So keep buffer small
- 69. ARM Cache and Write Buffer Organization