Analog Devices EE169 Application Notes

Engineer To Engineer Note EE-169
Technical Notes on using Analog Devices' DSP components and development tools
a
Estimating Power For The ADSP-TS101S
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Introduction

This EE note will discuss power consumption estimation based on characterized measurements for the ADSP-TS101S digital signal processor. The motivation for this document is to assist board designers by providing data as well as recommendations that will allow the designer to estimate their power budget for their power supply and thermal relief designs.
The ADSP-TS101S is an ultra-high-performance, static superscalar, 32-bit processor from the TigerSHARC DSP family of Analog Devices. The DSP operates at a core clock frequency of 300 MHz with the core operating at 1.2V (V and the I/O operating at 3.3V (V
). The data
DD_IO
DD
)
presented in this EE note is actual measured power consumption for silicon revision 0.2 of the ADSP-TS101S.

Power Consumption

Total power consumption has two components, one due to internal circuitry and one due to the switching of external output drivers. The following sections will show how to derive both of these power numbers.
Devices provides current consumption numbers for discrete activity levels. System application code can be mapped to these discrete numbers to estimate internal power consumption for an ADSP-TS101S processor for a given application.
Table 1 below shows the current consumption for the DSP at different levels of activity. From these internal activity levels (and from an understanding of the program flow using profiling or some other means), you can calculate a weighted-average of power consumption for each ADSP-TS101S processor in a system.
Parameter Test Conditions IDD (A)
T
=25C, VDD=1.20V, @ 300
I
DDMAX
I
DDTYP
I
DDCTRL
I
DDDMA
I
DDIDLE
I
DDIDLELP
Table 1: Internal Power Vectors
CASE
MHz T
=25C, VDD=1.20V, @ 300
CASE
MHz T
=25C, VDD=1.20V, @ 300
CASE
MHz T
=25C, VDD=1.20V, @ 300
CASE
MHz T
=25C, VDD=1.20V, @ 300
CASE
MHz T
=25C, VDD=1.20V, @ 300
CASE
MHz
1.5460
1.5130
0.8380
0.6835
0.6650
0.1723

Internal Power Vector Definitions

Internal Power Consumption Estimation

The internal power consumption (on the VDD supply) is dependent on the instruction execution sequence and the data operands involved. Analog
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The following power vector definitions apply to the internal average power vectors shown above in Table 1:
I
Maximum activity is a SIMD quad 16-bit fixed-point
DDMAX
--- V
supply current for maximum activity.
DD
a
multiply and an add in parallel with two quad-word data fetches. The data fetched and operated on are random. This vector includes DMA activity as described below in the
I
definition.
DDDMA
I
activity is a SIMD quad 16-bit fixed-point compute operation in parallel with two quad-word data fetches. The data fetched and operated on are random. This vector includes DMA activity as described below in the I definition.
I
Control activity is continuous decision-making and predicted branches. The branch prediction is deliberately set to be incorrect 50% of the time for equal distribution. This vector includes DMA activity as described below in the I
I
activity is a single external port DMA from external to internal memory, quad-word transfers of 32 words total. The DMA is chained to itself (in order to run continuously), and the DMA does not use interrupts. After setup, the core is not involved, executing the IDLE instruction only.
I
activity is the core executing the IDLE instruction only with no DMA or interrupts.
I
Low Power activity is the core executing the IDLE(LP) instruction only with no DMA or interrupts.
--- V
DDTYP
DDCTRL
DDDMA
DDIDLE
DDIDLELP
--- V
DDDMA
--- V
--- V
supply current for typical activity. Typical
DD
supply current for control activity.
DD
definition.
supply current for DMA activity. DMA
DD
supply current for idle activity. Idle
DD
--- V
supply current for idle low power. Idle
DD
DDDMA
The average current consumption for an ADSP­TS101S for a specific application is calculated according to the following formula, where “%” is the percentage of the overall time that the application spends in that state:
(% Maximum Activity Level x I (% Typical Activity Level x I (% Control Activity Level x I (% DMA Activity Level x I (% Idle Activity Level x I + (% Idle Low Power Activity Level x I
= Total Current for V = I
DD
Equation 1: Internal Current (IDD) Calculation
DD
DDTYP DDCTRL
DDDMA
DDIDLE
DDMAX
)
)
)
)
)
DDIDLELP
)
Therefore, the estimated average internal power consumption (PDD) can be calculated as follows:
P
= IDD x V
DD
DD
Equation 2: Internal Power (PDD) Estimation Calculation
For example, after profiling the application code the entire system activity is determined as follows:
- 30% Maximum Activity Level
- 30% Typical Activity Level
- 20% DMA Activity Level
- 20% Idle Activity Level
Example 1: Internal System Activity Level Example
From the percentages of this example, one can estimate a value for the current consumption of a single processor as follows:
(30% x 1.5460A) (30% x 1.5130A) (20% x 0.6835A)
+ (20% x 0.6650A)
= 1.1874A = I
Example 2: Internal Current Estimation Example
DD
Therefore, the average internal power estimation for the processor can be calculated from example 2 above as follows:
P
= 1.1874A x 1.20V
= 1.43W
Example 3: Internal Power Estimation Example
DD

External Power Consumption Estimation

The external power consumption (on V consumed by the switching of the output pins and is system dependent. For each unique group of pins, the magnitude of power consumed depends on the following:
The number of output pins that switch during each cycle, O
The load capacitance of the output pins, C
Their voltage swing, V
DD_IO
The maximum frequency at which the pins can switch, f
DD_IO
) is
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