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1 cooperative boosting: needy versus greedy power management.
| Content Provider | CiteSeerX |
|---|---|
| Author | Paul, Indrani Manne, Srilatha Arora, Manish Lloyd, W. Yalamanchili, Bircher Sudhakar |
| Abstract | This paper examines the interaction between thermal management techniques and power boosting in a state-of-the-art heterogeneous processor consisting of a set of CPU and GPU cores. We show that for classes of applications that utilize both the CPU and the GPU, modern boost algorithms that greedily seek to convert thermal headroom into performance can interact with thermal coupling effects between the CPU and the GPU to degrade performance. We first examine the causes of this behavior and explain the interaction between thermal coupling, performance coupling, and workload behavior. Then we propose a dynamic power-management approach called cooperative boosting (CB) to allocate power dynamically between CPU and GPU in a manner that balances thermal coupling against the needs of performance coupling to optimize performance under a given thermal constraint. Through real hardware-based measurements, we evaluate CB against a state-of-the-practice boost algorithm and show that overall application performance and power savings increase by 10 % and 8 % (up to 52 % and 34%), respectively, resulting in average energy efficiency improvement of 25 % (up to 76%) over a wide range of benchmarks. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Cooperative Boosting Needy Versus Greedy Power Management State-of-the-art Heterogeneous Processor Consisting Thermal Management Technique Thermal Headroom Real Hardware-based Measurement Gpu Core Thermal Coupling Average Energy Efficiency Improvement Modern Boost Algorithm Overall Application Performance Performance Coupling Power Boosting Thermal Constraint Power Saving Increase State-of-the-practice Boost Algorithm Wide Range Dynamic Power-management Approach |
| Content Type | Text |
| Resource Type | Article |
