From 9e5e830e15b74f040708e98c09ea41cd96d13871 Mon Sep 17 00:00:00 2001 From: Fabian Mastenbroek Date: Thu, 27 May 2021 16:34:06 +0200 Subject: simulator: Centralize resource logic in SimResourceInterpreter This change introduces the SimResourceInterpreter which centralizes the logic for scheduling and interpreting the communication between resource consumer and provider. This approach offers better performance due to avoiding invalidating the state of the resource context when not necessary. Benchmarks show in the best case a 5x performance improvement and at worst a 2x improvement. --- .../main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) (limited to 'opendc-experiments/opendc-experiments-tf20/src') diff --git a/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt b/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt index f4c18ff1..f345a4a5 100644 --- a/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt +++ b/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt @@ -35,10 +35,7 @@ import org.opendc.simulator.compute.model.MemoryUnit import org.opendc.simulator.compute.model.ProcessingUnit import org.opendc.simulator.compute.power.PowerModel import org.opendc.simulator.compute.workload.SimWorkload -import org.opendc.simulator.resources.SimResourceCommand -import org.opendc.simulator.resources.SimResourceConsumer -import org.opendc.simulator.resources.SimResourceContext -import org.opendc.simulator.resources.SimResourceEvent +import org.opendc.simulator.resources.* import java.time.Clock import java.util.* import kotlin.coroutines.Continuation @@ -67,7 +64,7 @@ public class SimTFDevice( * The [SimMachine] representing the device. */ private val machine = SimBareMetalMachine( - scope.coroutineContext, clock, SimMachineModel(listOf(pu), listOf(memory)), + SimResourceInterpreter(scope.coroutineContext, clock), SimMachineModel(listOf(pu), listOf(memory)), PerformanceScalingGovernor(), SimpleScalingDriver(powerModel) ) -- cgit v1.2.3 From 1ee02377aca356a99506ac247b376d7cf070048d Mon Sep 17 00:00:00 2001 From: Fabian Mastenbroek Date: Wed, 2 Jun 2021 23:06:36 +0200 Subject: simulator: Start consumers directly from workload This change updates the SimWorkload interfaces to allow implementations to start consumers for the machine resource providers directly. --- .../main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) (limited to 'opendc-experiments/opendc-experiments-tf20/src') diff --git a/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt b/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt index f345a4a5..db131e82 100644 --- a/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt +++ b/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt @@ -116,9 +116,11 @@ public class SimTFDevice( */ private var activeWork: Work? = null - override fun onStart(ctx: SimMachineContext) {} - - override fun getConsumer(ctx: SimMachineContext, cpu: ProcessingUnit): SimResourceConsumer = this + override fun onStart(ctx: SimMachineContext) { + for (cpu in ctx.cpus) { + cpu.startConsumer(this) + } + } override fun onNext(ctx: SimResourceContext): SimResourceCommand { val activeWork = activeWork -- cgit v1.2.3 From 84468f4e3a331d7ea073ac7033b3d9937168ed9f Mon Sep 17 00:00:00 2001 From: Fabian Mastenbroek Date: Wed, 2 Jun 2021 23:23:55 +0200 Subject: simulator: Split CPUFreq subsystem in compute simulator This change splits the functionality present in the CPUFreq subsystem of the compute simulation. Currently, the DVFS functionality is embedded in SimBareMetalMachine. However, this functionality should not exist within the firmware layer of a machine. Instead, the operating system should perform this logic (in OpenDC this should be the hypervisor). Furthermore, this change moves the scaling driver into the power package. The power driver is a machine/firmware specific implementation that computes the power consumption of a machine. --- .../src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) (limited to 'opendc-experiments/opendc-experiments-tf20/src') diff --git a/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt b/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt index db131e82..001547ef 100644 --- a/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt +++ b/opendc-experiments/opendc-experiments-tf20/src/main/kotlin/org/opendc/experiments/tf20/core/SimTFDevice.kt @@ -29,11 +29,10 @@ import org.opendc.simulator.compute.SimBareMetalMachine import org.opendc.simulator.compute.SimMachine import org.opendc.simulator.compute.SimMachineContext import org.opendc.simulator.compute.SimMachineModel -import org.opendc.simulator.compute.cpufreq.PerformanceScalingGovernor -import org.opendc.simulator.compute.cpufreq.SimpleScalingDriver import org.opendc.simulator.compute.model.MemoryUnit import org.opendc.simulator.compute.model.ProcessingUnit import org.opendc.simulator.compute.power.PowerModel +import org.opendc.simulator.compute.power.SimplePowerDriver import org.opendc.simulator.compute.workload.SimWorkload import org.opendc.simulator.resources.* import java.time.Clock @@ -65,7 +64,7 @@ public class SimTFDevice( */ private val machine = SimBareMetalMachine( SimResourceInterpreter(scope.coroutineContext, clock), SimMachineModel(listOf(pu), listOf(memory)), - PerformanceScalingGovernor(), SimpleScalingDriver(powerModel) + SimplePowerDriver(powerModel) ) /** -- cgit v1.2.3