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CORNELL CS 3410 - Caches

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Slide 1PerformanceMemory PyramidMemory HierarchyActive vs Inactive DataInsight of CachesLocalityLocalityMemory HierarchyCache Lookups (Read)Cache OrganizationThree common designsDirect Mapped CacheDirect Mapped CacheTags and OffsetsA Simple Direct Mapped CacheDirect Mapped Cache (Reading)Direct Mapped Cache SizeCache PerformanceMissesAvoiding MissesSlide 22MissesAvoiding MissesThree common designsA Simple Fully Associative CacheFully Associative Cache (Reading)Fully Associative Cache SizeSlide 29Slide 30MissesSummaryKevin WalshCS 3410, Spring 2010Computer ScienceCornell UniversityCachesP & H Chapter 5.1, 5.2 (except writes)2PerformanceCPU clock rates ~0.2ns – 2ns (5GHz-500MHz)Technology Capacity $/GB LatencyTape 1 TB $.17 100s of secondsDisk 2 TB $.03 Millions of cycles (ms)SSD (Flash) 128 GB $2 Thousands of cycles (us)DRAM 8 GB $10 (10s of ns)SRAM off-chip 8 MB $4000 5-15 cycles (few ns)SRAM on-chip 256 KB ??? 1-3 cycles (ns)Others: eDRAM aka 1-T SRAM, FeRAM, CD, DVD, …Q: Can we create illusion of cheap + large + fast?50-300 cycles3Memory PyramidDisk (Many GB – few TB)Memory (128MB – few GB)L2 Cache (½-32MB)RegFile100s bytesMemory Pyramid< 1 cycle access1-3 cycle access5-15 cycle access50-300 cycle accessL3 becoming more common(eDRAM ?)These are rough numbers: mileage may vary for latest/greatestCaches usually made of SRAM (or eDRAM)L1 Cache(several KB)1000000+ cycle access4Memory HierarchyMemory closer to processor •small & fast•stores active dataMemory farther from processor •big & slow•stores inactive data5Active vs Inactive DataAssumption: Most data is not active.Q: How to decide what is active?A: Some committee decidesA: Programmer decidesA: Compiler decidesA: OS decides at run-timeA: Hardware decidesat run-time6Insight of CachesQ: What is “active” data?If Mem[x] is was accessed recently...… then Mem[x] is likely to be accessed soon•Exploit temporal locality:… then Mem[x ± ε] is likely to be accessed soon•Exploit spatial locality:7LocalityMemory trace0x7c9a2b180x7c9a2b190x7c9a2b1a0x7c9a2b1b0x7c9a2b1c0x7c9a2b1d0x7c9a2b1e0x7c9a2b1f0x7c9a2b200x7c9a2b210x7c9a2b220x7c9a2b230x7c9a2b280x7c9a2b2c0x0040030c0x004003100x7c9a2b040x004003140x7c9a2b000x004003180x0040031c...int n = 4;int k[] = { 3, 14, 0, 10 };int fib(int i) {if (i <= 2) return i;else return fib(i-1)+fib(i-2);}int main(int ac, char **av) {for (int i = 0; i < n; i++) {printi(fib(k[i]));prints("\n"); }}8Locality0x000000000x7c9a2b1f0x004003189Memory HierarchyMemory closer to processor is fast but small•usually stores subset of memory farther away–“strictly inclusive”•alternatives:–strictly exclusive–mostly inclusive•Transfer whole blocks(cache lines):4kb: disk ↔ ram256b: ram ↔ L264b: L2 ↔ L110Cache Lookups (Read)Processor tries to access Mem[x]Check: is block containing Mem[x] in the cache?•Yes: cache hit–return requested data from cache line•No: cache miss–read block from memory (or lower level cache)–(evict an existing cache line to make room)–place new block in cache–return requested data and stall the pipeline while all of this happens11Cache OrganizationCache has to be fast and dense•Gain speed by performing lookups in parallel–but requires die real estate for lookup logic•Reduce lookup logic by limiting where in the cache a block might be placed–but might reduce cache effectivenessCache ControllerCPU12Three common designsA given data block can be placed…•… in any cache line  Fully Associative•… in exactly one cache line  Direct Mapped•… in a small set of cache lines  Set Associative13Direct Mapped CacheDirect Mapped Cache•Each block number mapped to a singlecache line index•Simplest hardwareline 0line 10x0000000x0000040x0000080x00000c0x0000100x0000140x0000180x00001c0x0000200x0000240x0000280x00002c0x0000300x0000340x0000380x00003c0x0000400x0000440x00004814Direct Mapped CacheDirect Mapped Cache•Each block number mapped to a singlecache line index•Simplest hardwareline 0line 1line 2line 30x0000000x0000040x0000080x00000c0x0000100x0000140x0000180x00001c0x0000200x0000240x0000280x00002c0x0000300x0000340x0000380x00003c0x0000400x0000440x00004815Tags and OffsetsAssume sixteen 64-byte cache lines0x7FFF3D4D = 0111 1111 1111 1111 0011 1101 0100 1101Need meta-data for each cache line:•valid bit: is the cache line non-empty?•tag: which block is stored in this line (if valid)Q: how to check if X is in the cache?Q: how to clear a cache line?16MemoryDirect MappedCacheProcessorA Simple Direct Mapped Cachelb $1  M[ 1 ]lb $2  M[ 13 ]lb $3  M[ 0 ]lb $3  M[ 6 ]lb $2  M[ 5 ]lb $2  M[ 6 ]lb $2  M[ 10 ]lb $2  M[ 12 ]V tag data$1$2$3$4Using byte addresses in this example! Addr Bus = 5 bits0 1011 1032 1073 1094 1135 1276 1317 1378 1399 14910 15111 15712 16313 16714 17315 17916 1810 1011 1032 1073 1094 1135 1276 1317 1378 1399 14910 15111 15712 16313 16714 17315 17916 181Hits: Misses:A =17Direct Mapped Cache (Reading)V Tag BlockTag Index Offset18Direct Mapped Cache Sizen bit index, m bit offsetQ: How big is cache (data only)?Q: How much SRAM needed (data + overhead)?Tag Index Offset19Cache PerformanceCache Performance (very simplified): L1 (SRAM): 512 x 64 byte cache lines, direct mappedData cost: 3 cycle per word accessLookup cost: 2 cycle Mem (DRAM): 4GBData cost: 50 cycle per word, plus 3 cycle per consecutive wordPerformance depends on:Access time for hit, miss penalty, hit rate20MissesCache misses: classificationThe line is being referenced for the first time•Cold (aka Compulsory) MissThe line was in the cache, but has been evicted21Avoiding MissesQ: How to avoid…Cold Misses•Unavoidable? The data was never in the cache…•Prefetching!Other Misses•Buy more SRAM•Use a more flexible cache design22Bigger cache doesn’t always help…Mem access trace: 0, 16, 1, 17, 2, 18, 3, 19, 4, …Hit rate with four direct-mapped 2-byte cache lines?With eight 2-byte cache lines?With four 4-byte cache lines?012345678910111213141516171819202123MissesCache misses: classificationThe line is being referenced for the first time•Cold (aka Compulsory) MissThe line was in the cache, but has been evicted…… because some other access with the same index•Conflict Miss… because the cache is too small•i.e. the working set of program is larger than the cache•Capacity Miss24Avoiding MissesQ: How to avoid…Cold Misses•Unavoidable? The data was never in the


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