forked from M-Labs/artiq
139 lines
3.8 KiB
Python
139 lines
3.8 KiB
Python
import time
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from artiq import *
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class _PayloadNOP(EnvExperiment):
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def build(self):
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pass
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def run(self):
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pass
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class _PayloadCoreNOP(EnvExperiment):
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def build(self):
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self.attr_device("core")
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@kernel
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def run(self):
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pass
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class _PayloadCoreSend100Ints(EnvExperiment):
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def build(self):
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self.attr_device("core")
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def devnull(self, d):
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pass
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@kernel
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def run(self):
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for i in range(100):
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self.devnull(42)
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class _PayloadCoreSend1MB(EnvExperiment):
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def build(self):
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self.attr_device("core")
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def devnull(self, d):
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pass
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@kernel
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def run(self):
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data = [0 for _ in range(1000000//4)]
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self.devnull(data)
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class _PayloadCorePrimes(EnvExperiment):
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def build(self):
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self.attr_device("core")
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def devnull(self, d):
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pass
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@kernel
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def run(self):
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for x in range(1, 1000):
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d = 2
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prime = True
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while d*d <= x:
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if x % d == 0:
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prime = False
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break
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d += 1
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if prime:
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self.devnull(x)
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class SpeedBenchmark(EnvExperiment):
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"""Speed benchmark"""
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def build(self):
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self.attr_argument("mode", EnumerationValue(["Single experiment",
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"With pause",
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"With scheduler"]))
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self.attr_argument("payload", EnumerationValue(["NOP",
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"CoreNOP",
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"CoreSend100Ints",
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"CoreSend1MB",
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"CorePrimes"]))
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self.attr_argument("nruns", NumberValue(10, min=1, max=1000))
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self.attr_device("core")
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self.attr_device("scheduler")
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def run_with_scheduler(self):
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nruns = int(self.nruns)
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donop_expid = dict(self.scheduler.expid)
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donop_expid["class_name"] = "_Payload" + self.payload
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donop_expid["arguments"] = {}
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for i in range(nruns):
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self.scheduler.submit(self.scheduler.pipeline_name, donop_expid,
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self.scheduler.priority, None, False)
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report_expid = dict(self.scheduler.expid)
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report_expid["class_name"] = "_Report"
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report_expid["arguments"] = {
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"start_time": time.monotonic(),
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"nruns": nruns}
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self.scheduler.submit(self.scheduler.pipeline_name, report_expid,
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self.scheduler.priority, None, False)
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def run_without_scheduler(self, pause):
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payload = globals()["_Payload" + self.payload](*self.dbs())
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start_time = time.monotonic()
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for i in range(int(self.nruns)):
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payload.run()
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if pause:
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self.core.comm.close()
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self.scheduler.pause()
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end_time = time.monotonic()
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self.set_result("benchmark_run_time",
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(end_time-start_time)/self.nruns,
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realtime=True)
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def run(self):
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if self.mode == "Single experiment":
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self.run_without_scheduler(False)
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elif self.mode == "With pause":
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self.run_without_scheduler(True)
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elif self.mode == "With scheduler":
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self.run_with_scheduler()
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else:
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raise ValueError
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class _Report(EnvExperiment):
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def build(self):
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self.attr_argument("start_time")
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self.attr_argument("nruns")
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def run(self):
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end_time = time.monotonic()
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self.set_result("benchmark_run_time",
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(end_time-self.start_time)/self.nruns,
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realtime=True)
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