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knl_ratios.py
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knl_ratios.py
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import metrics
import node
import slm_ratios as slm
version = "1.0"
slm.set_clks_event_name("CPU_CLK_UNHALTED.THREAD")
smt_enabled = False
class CyclesPerUop(slm.CyclesPerUop):
pass
# LEVEL 1
class FrontendBound(slm.FrontendBound):
pass
class BackendBound(slm.BackendBound):
pass
class BadSpeculation(slm.BadSpeculation):
pass
class Retiring(slm.Retiring):
pass
# LEVEL 2
class FrontendLatency(slm.FrontendLatency):
pass
# LEVEL 3
class ICacheMisses(slm.ICacheMisses):
# Override _compute(), since KNL does not have
# the DECODE_RESTRICTION.PDCACHE_WRONG event
def _compute(self, ev):
return slm.icache_line_fetch_cost(ev, self.level)
class ITLBMisses(slm.ITLBMisses):
pass
class MSSwitches(slm.MSSwitches):
pass
class Setup(object):
def __init__(self, runner):
# Instantiate nodes as required to be able to specify their
# references
# L3 objects
icache_misses = ICacheMisses()
itlb_misses = ITLBMisses()
ms_cost = MSSwitches()
#L1 objects
frontend = FrontendBound()
bad_speculation = BadSpeculation()
retiring = Retiring()
backend = BackendBound(retiring=retiring,
bad_speculation=bad_speculation,
frontend=frontend)
# L2 objects
frontend_latency = FrontendLatency(icache_misses=icache_misses,
itlb=itlb_misses,
ms_cost=ms_cost,
frontend=frontend
)
# Set parents
node.set_parent(None, [frontend, bad_speculation, retiring, backend])
node.set_parent(frontend, [frontend_latency])
node.set_parent(frontend_latency,
[icache_misses, itlb_misses, ms_cost])
# User visible metrics
user_metrics = [slm.Metric_IPC(), slm.Metric_CPI(),
slm.Metric_TurboUtilization(),
slm.Metric_CLKS(), slm.Metric_Time(),
slm.CyclesPerUop()]
nodes = [obj for obj in locals().values()
if issubclass(obj.__class__, metrics.MetricBase) and
obj.level > 0]
nodes = sorted(nodes, key=lambda n: n.level)
# Pass to runner
list(map(runner.run, nodes))
list(map(runner.metric, user_metrics))