embracing heterogeneity with dynamic core boosting

University of MichiganElectrical Engineering and Computer Science1

Embracing Heterogeneity with Dynamic Core Boosting

Hyoun Kyu Cho and Scott Mahlke

University of Michigan

May 20, 2014

University of MichiganElectrical Engineering and Computer Science2

Parallel Programming

Core1

Core2

Core3

Core4

Workload

University of MichiganElectrical Engineering and Computer Science3

Workload Imbalance Among Threads

• Asymmetric S/W– Control flow divergence– Non-deterministic memory

latencies– Synchronization operations

• Asymmetric H/W– Heterogeneous multicores– Core-to-core process variation

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Performance Impact of Asymmetric H/W

• Symmetric 8 Cores vs. 8 Cores w/ variations

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CPU Time Wasted for SynchronizationHomogeneous Heterogeneous

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Thread Criticality due to Workload Imbalance

T1

T2

T3

T4

T5

IdleBarrier

time

T1

T2

T3

T4

T5time

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Accelerating Critical Path w/ Core Boosting

T1

T2

T3

T4

T5

IdleBarrier

time

T1

T2

T3

T4

T5time

T1

T2

T3

T4

T5time

University of MichiganElectrical Engineering and Computer Science8

Modeling Workload Imbalance & Boosting

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Boosting Assignment• Data parallel programs

• Pipeline parallel programsWorkerWorker Worker Worker Worker

Stage1 Stage2 Stage3 Stage4

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Boosting Data Parallel Programs• Greedy scheduling

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Boosting Pipeline Parallel Programs• Epoch-based scheduling

– Monitors CPU utilization with H/W performance counter– Assigns boosting budget at the end of epoch

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Dynamic Core Boosting

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Progress Monitoring Example … pthread_barrier_wait(barrier); period = calc_period_LID_007(start, end); for ( i = start ; i < end ; i++ ) { … compute(…); if ( side_exit ) { SET_PROGRESS_TO(MAX_PROGRESS_007); break; } if ( ( ( end – i ) % period ) == 0 ) PROGRESS_STEP_FORWARD; } pthread_barrier_wait(barrier); …

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Evaluation Methodology• Asymmetry emulation with Dynamic Binary Translation

– Slow down proportionally instead of accelerating• 8 cores with frequency variation

– • 1 core boosted, boosting rate = 1.5x• Compares

– Heterogeneous– Reactive– DCB

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Performance Improvementbla

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Synchronization Overheadsbl

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Heterogeneous Reactive DCB

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Thread Arrival Time

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Conclusion• DCB mitigates workload imbalance in performance

asymmetric CMPs– Accelerating critical threads– Coordinating compiler, runtime, and architecture for

near-optimal assignment

• Overall, improves performance by 33%, outperforming a reactive boosting scheme by 10%

University of MichiganElectrical Engineering and Computer Science19

Thank you!

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Core Boosting with Frequency Scaling

Transition time < 10ns [Dreslinski`12]

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Asymmetry Emulation with DBT

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Evaluation Platform Accuracybl

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