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Add likwid collector
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39
collectors/likwid/groups/zen/CACHE.txt
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39
collectors/likwid/groups/zen/CACHE.txt
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SHORT Data cache miss rate/ratio
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EVENTSET
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FIXC1 ACTUAL_CPU_CLOCK
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FIXC2 MAX_CPU_CLOCK
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PMC0 RETIRED_INSTRUCTIONS
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PMC1 CPU_CLOCKS_UNHALTED
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PMC2 DATA_CACHE_ACCESSES
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PMC3 DATA_CACHE_REFILLS_ALL
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METRICS
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Runtime (RDTSC) [s] time
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Runtime unhalted [s] FIXC1*inverseClock
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Clock [MHz] 1.E-06*(FIXC1/FIXC2)/inverseClock
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CPI PMC1/PMC0
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data cache requests PMC2
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data cache request rate PMC2/PMC0
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data cache misses PMC3
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data cache miss rate PMC3/PMC0
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data cache miss ratio PMC3/PMC2
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LONG
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Formulas:
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data cache requests = DATA_CACHE_ACCESSES
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data cache request rate = DATA_CACHE_ACCESSES / RETIRED_INSTRUCTIONS
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data cache misses = DATA_CACHE_REFILLS_ALL
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data cache miss rate = DATA_CACHE_REFILLS_ALL / RETIRED_INSTRUCTIONS
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data cache miss ratio = DATA_CACHE_REFILLS_ALL / DATA_CACHE_ACCESSES
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-
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This group measures the locality of your data accesses with regard to the
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L1 cache. Data cache request rate tells you how data intensive your code is
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or how many data accesses you have on average per instruction.
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The data cache miss rate gives a measure how often it was necessary to get
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cache lines from higher levels of the memory hierarchy. And finally
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data cache miss ratio tells you how many of your memory references required
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a cache line to be loaded from a higher level. While the# data cache miss rate
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might be given by your algorithm you should try to get data cache miss ratio
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as low as possible by increasing your cache reuse.
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