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Low-power Task Scheduling for GPU Energy Reduction Li Tang, Yiji Zhang.

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Presentation on theme: "Low-power Task Scheduling for GPU Energy Reduction Li Tang, Yiji Zhang."— Presentation transcript:

1 Low-power Task Scheduling for GPU Energy Reduction Li Tang, Yiji Zhang

2 Introduction DVFS (dynamic voltage and frequency scaling) implementation Building GPU linear regression power model

3 DVFS implementation Dynamic Voltage and Frequency Scaling a method to provide variable amount of energy for a task by scaling the operating voltage/frequency. Power & Energy consumption

4 GPU architecture and linear regression power model On-chip Device Memory GPU linear power model: Total power Maximum power of the i-th component Usage rate of the i-th components Intercept power

5 Energy measurement NI USB-6216 DAQ+ two FLUKE 80i-110s current clamps Sampling rate: ▫10 readings per millisecond

6 Preliminary results WAXPY function: ▫W[i]=alpha*X[i]+beta*Y[i] (i: thread number) Kernel launch: ▫WAXPY >> Vector size and type: ▫1,000,000 float Thread*Block1*11*41*161*644*6416*6464*16 WAXPY Time44.05311.5293.5031.0560.2660.070=0.071 WAXPY GPU Power31.87833.87243.26359.01557.22363.709>48.098 WAXPY GPU Energy1404.298390.498151.54262.29815.1954.4663.415

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