How background power consumption impacts the energy efficiency of an SoC.
In this month’s blog we continue our discussion of power management, specifically looking at how architects can improve the energy efficiency of their SoC as it uses system memory.
In March we teamed up with Micron, a global supplier of high performance, low power memory technologies, to present a tutorial at SNUG Silicon Valley (see proceedings) explaining the practical steps system designers can take to convert static, spreadsheet-based power model information for DDR memories into dynamic, IEEE 1801-2015 UPF 3.0 power models that can be simulated together with their SoC architecture in Synopsys Platform Architect MCO.
For DDR4 memory, there are four power domains defined by the Micron DRAM Power Calculator:
The UPF 3.0 system-level power model in Platform Architect MCO is created from this information and capture the power states, power state transitions, power expressions, and inputs for each domain.
As you can tell from the blog title, today we’ll look a bit deeper into DDR Background Power. The chart below shows the average power consumption of a DDR4 memory subsystem during the execution of the SoC application. The top half of the stacked bars shows how the DDR power consumption varies as the application runs to completion. Meanwhile, the bottom half shows the constant burn of background power, consumed whenever the DDR is in use, or is ready to be used, by the SoC. The background power only drops to the lower power down state after the work is done. The power state trace shows this transition from Active_standby to Precharged_power_down.
Figure 1: DDR Power State Trace
So how does background power consumption impact the energy efficiency of your SoC? The overall energy efficiency will depend on (a) the execution time of the application workload and (b) how quickly the DDR can complete its work and reach the more efficient shutdown state for the background power. The chart below shows the results for different memory subsystem configurations.
Figure 2: DDR Power Consumption
By using the DDR power model in Platform Architect MCO, we can analyze the impact of the DDR memory controller address mapping on power consumption and energy efficiency, specifically looking at the different location options for the Bank Address bits.
What do we see? For this application, DDR Background Power is a dominant factor. Finishing the scenario earlier, with Bank Address bits set to 14/15, gives an over-proportional energy gain. Compared to the worst case (at the bottom), the best mapping has the lower energy consumption. On the other hand, the best mapping has the higher power dissipation. This is the result of doing more useful work in a shorter period of time, due to the more efficient address mapping by the memory controller.
So what’s the right solution for your SoC? Find out by giving your DDR a Background (Power) check!