1. Power Partitioning for Multiprocessors Kai Ma, Amiri-Kamalabad Mojtaba

2. Background Problems:  Overall power: electricity bill (date center), battery life (embedded system)  On-chip component power: Irregular power characteristics of each components lead to conservative cooling and packaging design. Power capping or control  Minimizing performance degradation on the condition of capping or controlling power (MICRO06 Isci, HPCA07 Dybdahl, PACT08 Meng)

3. Motivation Different applications have different power consumption patterns. Power consumption in one application could change dramatically. If adopting pessimistic design, we prepare for peak power dissipation. Most of the time, extra cooling capability will be wasted.

4. Proposal & Novelties We propose a scheme to control each on-chip component’s power and partition the overall power budget to each component to optimize performance.  Universalize dramatically different components’ characteristics to power consumption and performance contribution trade off, solve the problem in systematic framework (previous: trial-and-error)  Provide upstream and downstream flexibility (previous: case by case)

5. Design Challenges 1. Power Control for each component 1) Regulate each component’s power behavior 2) Guarantee the whole chip power Challenges: 1) How to guarantee system stability? 2. Power budget partitioning Challenges: 1) How to find the optimal partitioning? 2) How to adapt to different workloads or different execution phase for one workload?

6. Possible System Design

7. Initial Result Feedback control can achieve power control goal. Different power allocations lead to different performance.