1. Energy Model for Multiprocess Applications Texas Tech University

2. Faster Computers = More Energy Moore’s law predicted 2 fold yearly increase in transistor count for inexpensive devices Transistor size has decreased to the point where size can longer be major factor in speed Multicore processors now fairly common Increased performance from larger transistor counts and multiple cores has increased energy usage Texas Tech University

3. Faster Computers = More Energy An hour of usage on a super computer today uses the same amount of energy that a moderate home will during the most extreme months of the year Google estimates their data centers use the same amount of power as 200,000 homes each year. Texas Tech University

4. Energy Aware Motivations Energy Costs Device Battery Life Green Computing Initiatives Texas Tech University

5. Energy Aware Research Most work being done in hardware design CPUs now have multiple operating states to save energy when not in use Advanced Control Power Interface(ACPI) was developed to give Operating Systems the ability to reduce power consumption of computers Most models & scheduling techniques rely on altering CPU operating frequency, which user applications cannot directly access Texas Tech University

6. CPU Energy Usage Texas Tech University

7. CPU Energy Usage (continued) Texas Tech University

8. Sequential Application Energy Texas Tech University

9. Amdahl’s Law Texas Tech University

10. Observations Increasing CPU utilization increases Energy Efficiency “Racing to idle” means that the CPU will return to an idle state sooner Less time executing also means other components will be using less energy too Texas Tech University

11. Turning Off Idle Processors Texas Tech University

12. No Idle Power States Texas Tech University