Great research starts with great data.

Learn More
More >
Patent Analysis of

Method and apparatus for managing global chip power on a multicore system on chip

Updated Time 12 June 2019

Patent Registration Data

Publication Number

US10152102

Application Number

US15/499531

Application Date

27 April 2017

Publication Date

11 December 2018

Current Assignee

CAVIUM, LLC

Original Assignee (Applicant)

CAVIUM, INC.

International Classification

G06F1/32,G06F1/26,G06F1/28

Cooperative Classification

G06F1/26,G06F1/28,G06F1/3243,G06F1/324,Y02D10/152

Inventor

CARLSON, DAVID A.,KESSLER, RICHARD E.

Patent Images

This patent contains figures and images illustrating the invention and its embodiment.

US10152102 Method managing 1 US10152102 Method managing 2 US10152102 Method managing 3
See all images <>

Abstract

According to at least one example embodiment, a method and corresponding apparatus for controlling power in a multi-core processor chip include: accumulating, at a controller within the multi-core processor chip, one or more power estimates associated with multiple core processors within the multi-core processor chip. A global power threshold is determined based on a cumulative power estimate, the cumulative power estimate being determined based at least in part on the one or more power estimates accumulated. The controller causes power consumption at each of the core processors to be controlled based on the determined global power threshold. The controller may directly control power consumption at the core processors or may command the core processors to do so.

Read more

Claims

1. A method for controlling power consumption in a multi-core processor chip, the method comprising:

accumulating, at a controller within the multi-core processor chip, one or more power estimates associated with multiple core processors within the multi-core processor chip, the accumulating including sending a read command from the controller to at least one core processor of the multiple core processors and wherein a core processor receiving the read command updates a parameter value representing a cumulative sum of power estimates to produce an updated cumulative sum and forwards the read command with the updated cumulative sum to one other core processor or to the controller; determining a cumulative power estimate based at least in part on the one or more power estimates accumulated; determining a global power threshold based on the cumulative power estimate determined and a corresponding average over time, relative to a desired target power; and causing power consumption at each core processor to be controlled based on the global power threshold determined.

2. The method according to claim 1, wherein accumulating the one or more power estimates associated with multiple core processors includes receiving one or more cumulative sums of power estimates associated with one or more subsets of the multiple core processors within the multi-core processor chip.

3. The method according to claim 1, wherein accumulating the one or more power estimates associated with multiple core processors includes receiving multiple power estimates corresponding to the multiple core processors within the multi-core processor chip.

4. The method according to claim 1, further comprising:

increasing the global power threshold determined in an event the cumulative power estimate determined and the corresponding average over time are both smaller than the desired target power.

5. The method according to claim 1, further including:

decreasing the global power threshold determined in an event the cumulative power estimate determined is larger than the desired target power.

6. The method according to claim 1, wherein the desired target power is a constant set by a user or a manufacturer of the multi-core processor chip.

7. The method according to claim 1, wherein the desired target power is dynamically set based at least in part on measured temperature values of the multi-core processor chip.

8. The method according to claim 1 further comprising:

accumulating one or more representations of clock activities associated with one or more coprocessor blocks within the multi-core processor chip; and determining one or more power estimates associated with the one or more coprocessor blocks based at least in part on the one or more representations accumulated, wherein determining the cumulative power estimate for the multi-core processor chip is further based on the one or more power estimates associated with the one or more coprocessor blocks.

9. The method according to claim 8, wherein determining the one or more power estimates associated with the one or more coprocessor blocks is further based on a lookup table.

10. The method according to claim 8, wherein accumulating the one or more representations of the clock activities associated with the one or more coprocessor blocks includes:

counting, at each coprocessor block, clock activity cycles associated with the same coprocessor block; generating a representation of the clock activity associated with the coprocessor block by mapping a predefined number of counted clock activity cycles into a single symbol within the representation of the clock activity associated with the coprocessor block; and receiving, by the controller, the representation of the clock activity associated with the coprocessor block.

11. The method according to claim 1, wherein causing power consumption at each core processor to be controlled includes instructing each core processor to control power consumption of the core processor based on the global power threshold.

12. The method according to claim 11, wherein instructing each core processor to control power consumption includes sending an indication of the global power threshold determined to each core processor.

13. The method according to claim 12, further comprising comparing, by each core processor, the global power threshold with a local power limit.

14. The method according to claim 1, wherein causing power consumption at each core processor to be controlled includes adjusting a master clock frequency.

15. A multi-core processor chip comprising:

multiple core processors; anda controller coupled to at least one of the multiple core processors, the controller configured to:

accumulate one or more power estimates associated with the multiple core processors within the multi-core processor chip, wherein in accumulating the one or more power estimates associated with the multiple core processors, the controller is configured to send a read command from the controller to at least one core processor of the multiple core processors and wherein the at least one core processor is configured to: receive the read command; update a parameter value representing a cumulative sum of power estimates to produce an updated cumulative sum; and forward the read command with the updated cumulative sum to one other core processor or to the controller; determine a cumulative power estimate based at least in part on the one or more power estimates accumulated; determine a global power threshold based on the cumulative power estimate determined and a corresponding average over time, relative to a desired target power; and cause power consumption at each core processor to be controlled based on the global power threshold determined.

16. The multi-core processor chip according to claim 15, wherein in accumulating the one or more power estimates associated with the multiple core processors, the controller is configured to receive one or more cumulative sums of power estimates associated with one or more subsets of the multiple core processors.

17. The multi-core processor chip according to claim 15, wherein in accumulating the one or more power estimates associated with the multiple core processors, the controller is configured to receive multiple power estimates corresponding to the multiple core processors.

18. The multi-core processor chip according to claim 15, wherein the controller is further configured to:

increase the global power threshold determined in an event the cumulative power estimate determined and a corresponding average over time are both smaller than the desired target power.

19. The multi-core processor chip according to claim 15, wherein the controller is further configured to:

decrease the global power threshold determined in an event the cumulative power estimate determined is larger than the desired target power.

20. The multi-core processor chip according to claim 15, wherein the desired target power is a constant set by a user or a manufacturer of the multi-core processor chip.

21. The multi-core processor chip according to claim 15, wherein the desired target power is dynamically set based at least in part on measured temperature values of the multi-core processor chip.

22. The multi-core processor chip according to claim 15, wherein the multi-core processor chip further includes one or more coprocessor blocks, and the controller is further configured to:

accumulate one or more representations of clock activities associated with the one or more coprocessor blocks; and determine one or more power estimates associated with the one or more coprocessor blocks based at least in part on the one or more representations accumulated, wherein determining the cumulative power estimate for the multi-core processor chip is further based on the one or more power estimates associated with the one or more coprocessor blocks.

23. The multi-core processor chip according to claim 22, wherein in determining the one or more power estimates associated with the one or more coprocessor, blocks the controller is further configured to check a lookup table to determine the power estimate associated with each coprocessor block.

24. The multi-core processor chip according to claim 22, wherein in accumulating one or more representations of the clock activities associated with the one or more coprocessor blocks, each coprocessor block is configured to:

count, at each coprocessor block, clock activity cycles associated with the same coprocessor block; generate a representation of the clock activity associated with the coprocessor block by mapping a predefined number of counted clock activity cycles into a single symbol within the representation of the clock activity associated with the coprocessor block; and send the representation of the clock activity associated with the coprocessor block to the controller.

25. The multi-core processor chip according to claim 15, wherein in causing power consumption at each core processor to be controlled, the controller is further configured to instruct each core processor to control power consumption of the core processor based on the global power threshold.

26. The multi-core processor chip according to claim 25, wherein in instructing each core processor to control power consumption, the controller is further configured to send an indication of the global power threshold determined to each core processor.

27. The multi-core processor chip according to claim 26, wherein each core processor is configured to compare the global power threshold with a local power limit.

28. The multi-core processor chip according to claim 15, wherein in causing power consumption at each core processor to be controlled, the controller is configured to adjust a master clock frequency.

Read more

Claim Tree

  • 1
    1. A method for controlling power consumption in a multi-core processor chip, the method comprising:
    • accumulating, at a controller within the multi-core processor chip, one or more power estimates associated with multiple core processors within the multi-core processor chip, the accumulating including sending a read command from the controller to at least one core processor of the multiple core processors and wherein a core processor receiving the read command updates a parameter value representing a cumulative sum of power estimates to produce an updated cumulative sum and forwards the read command with the updated cumulative sum to one other core processor or to the controller
    • determining a cumulative power estimate based at least in part on the one or more power estimates accumulated
    • determining a global power threshold based on the cumulative power estimate determined and a corresponding average over time, relative to a desired target power
    • and causing power consumption at each core processor to be controlled based on the global power threshold determined.
    • 2. The method according to claim 1, wherein
      • accumulating the one or more power estimates associated with multiple core processors includes receiving one or more cumulative sums of power estimates associated with one or more subsets of the multiple core processors within the multi-core processor chip.
    • 3. The method according to claim 1, wherein
      • accumulating the one or more power estimates associated with multiple core processors includes receiving multiple power estimates corresponding to the multiple core processors within the multi-core processor chip.
    • 4. The method according to claim 1, further comprising:
      • increasing the global power threshold determined in an event the cumulative power estimate determined and the corresponding average over time are both smaller than the desired target power.
    • 5. The method according to claim 1, further including:
      • decreasing the global power threshold determined in an event the cumulative power estimate determined is larger than the desired target power.
    • 6. The method according to claim 1, wherein
      • the desired target power is a constant set by a user or a manufacturer of the multi-core processor chip.
    • 7. The method according to claim 1, wherein
      • the desired target power is dynamically set based at least in part on measured temperature values of the multi-core processor chip.
    • 8. The method according to claim 1 further comprising:
      • accumulating one or more representations of clock activities associated with one or more coprocessor blocks within the multi-core processor chip
      • and determining one or more power estimates associated with the one or more coprocessor blocks based at least in part on the one or more representations accumulated, wherein determining the cumulative power estimate for the multi-core processor chip is further based on the one or more power estimates associated with the one or more coprocessor blocks.
    • 11. The method according to claim 1, wherein
      • causing power consumption at each core processor to be controlled includes instructing each core processor to control power consumption of the core processor based on the global power threshold.
    • 14. The method according to claim 1, wherein
      • causing power consumption at each core processor to be controlled includes adjusting a master clock frequency.
  • 15
    15. A multi-core processor chip comprising:
    • multiple core processors
    • anda controller coupled to at least one of the multiple core processors, the controller configured to: accumulate one or more power estimates associated with the multiple core processors within the multi-core processor chip, wherein in accumulating the one or more power estimates associated with the multiple core processors, the controller is configured to send a read command from the controller to at least one core processor of the multiple core processors and wherein the at least one core processor is configured to: receive the read command
    • update a parameter value representing a cumulative sum of power estimates to produce an updated cumulative sum
    • and forward the read command with the updated cumulative sum to one other core processor or to the controller
    • determine a cumulative power estimate based at least in part on the one or more power estimates accumulated
    • determine a global power threshold based on the cumulative power estimate determined and a corresponding average over time, relative to a desired target power
    • and cause power consumption at each core processor to be controlled based on the global power threshold determined.
    • 16. The multi-core processor chip according to claim 15, wherein
      • in accumulating the one or more power estimates associated with the multiple core processors, the controller is configured to receive one or more cumulative sums of power estimates associated with one or more subsets of the multiple core processors.
    • 17. The multi-core processor chip according to claim 15, wherein
      • in accumulating the one or more power estimates associated with the multiple core processors, the controller is configured to receive multiple power estimates corresponding to the multiple core processors.
    • 18. The multi-core processor chip according to claim 15, wherein
      • the controller is further configured to: increase the global power threshold determined in an event the cumulative power estimate determined and a corresponding average over time are both smaller than the desired target power.
    • 19. The multi-core processor chip according to claim 15, wherein
      • the controller is further configured to: decrease the global power threshold determined in an event the cumulative power estimate determined is larger than the desired target power.
    • 20. The multi-core processor chip according to claim 15, wherein
      • the desired target power is a constant set by a user or a manufacturer of the multi-core processor chip.
    • 21. The multi-core processor chip according to claim 15, wherein
      • the desired target power is dynamically set based at least in part on measured temperature values of the multi-core processor chip.
    • 22. The multi-core processor chip according to claim 15, wherein
      • the multi-core processor chip further includes one or more coprocessor blocks, and the controller is further configured to: accumulate one or more representations of clock activities associated with the one or more coprocessor blocks; and determine one or more power estimates associated with the one or more coprocessor blocks based at least in part on the one or more representations accumulated, wherein
    • 25. The multi-core processor chip according to claim 15, wherein
      • in causing power consumption at each core processor to be controlled, the controller is further configured to instruct each core processor to control power consumption of the core processor based on the global power threshold.
    • 28. The multi-core processor chip according to claim 15, wherein
      • in causing power consumption at each core processor to be controlled, the controller is configured to adjust a master clock frequency.
See all independent claims <>

Description

BACKGROUND

Power consumption within computer processors is usually controlled in a way to avoid overheating of the processor or the corresponding chip. In other words, by controlling the power consumption within the processor, the corresponding temperature is also kept under control.

SUMMARY

Power management in multi-core processor devices is typically performed locally at each core processor. In order to improve performance and enhance efficiency, there is need for a capability to manage global chip power on such devices.

According to at least one example embodiment, a global power management approach for controlling power consumption in a multi-core processor chip includes accumulating, at a controller within the multi-core processor chip, one or more power estimates associated with multiple core processors within the multi-core processor chip. A global power threshold is determined based on a cumulative power estimate, the cumulative power estimate being determined based at least in part on the one or more power estimates accumulated. The controller causes power consumption at each of the multiple core processors to be controlled based on the determined global power threshold.

In accumulating the one or more power estimates, the controller may receive a single value indicative of the cumulative power estimate representing the total power consumption by the multiple core processors. The multiple core processors may be coupled to each other in a way to form a serial configuration, where, at each core processor, the local power consumption estimate is added to a value representing the cumulative power estimate and forwarded to the next core processor. At the last core processor, the final value of the cumulative power estimate is forwarded to the controller. Alternatively, the multiple core processors may be coupled in a way to form more than one serial configuration, in which case the controller receives more than one power estimate. In yet another example, each core processor may send its local power consumption estimate directly to the controller.

The controller may be configured to send a read command from the controller to at least one core processor of the multiple core processors. The read command may include an indication of a read operation and a payload value. A core processor receiving the read command adds the local power estimate to the payload value and forwards the read command with the updated payload value to a next core processor or to the controller. The payload value represents a cumulative sum of power estimates associated with one or more core processors.

In determining the global power threshold, the controller is configured to increase a parameter value representing the global power threshold upon determining that the cumulative power estimate determined and a corresponding average over time are both smaller than a desired target power, and decrease the parameter value representing the global power threshold upon determining that the cumulative power estimate determined is larger than the desired target power. The desired target power may be a constant set by a user or a manufacturer of the multi-core processor chip. Alternatively, the desired target power may be dynamically set based at least in part on measured temperature values of the multi-core processor chip.

The multi-core processor chip may also include one or more coprocessor blocks. In order to account for the power consumption of the one or more coprocessor blocks, the controller is configured to accumulate one or more representations of clock activities associated with the one or more coprocessor blocks; determine one or more power estimates associated with the one or more coprocessor blocks based at least in part on the one or more representations accumulated, wherein the determining of the cumulative power estimate for the multi-core processor chip being further based on the one or more power estimates associated with the one or more coprocessor blocks. In determining the one or more power estimates associated with the one or more coprocessor blocks, the controller may employ a lookup table, for example, to determine the power consumption associated with each representation of a clock activity. The one or more representations of the clock activities associated with the one or more coprocessor blocks may be formed by counting, at each coprocessor block, clock activity cycles associated with the same coprocessor block and generating a representation of the clock activity associated with the coprocessor block by mapping a predefined number of counted clock activity cycles into a single symbol within the representation of the clock activity associated with the coprocessor block. The representation of the clock activity, associated with the coprocessor block, is then received by the controller.

In causing power consumption at each core processor to be controlled, the controller may control power consumption at the core processors by adjusting a master clock frequency, and therefore affecting the frequencies of clocks associated with the multiple core processors. Alternatively, the controller sends a command to all core processors instructing them to control their local power consumption. Such command may include an indication of the global power threshold. Upon receiving the global power threshold, each core processor compares the global power threshold with a local power threshold to determine a power limit to be used by the core processor.

BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing will be apparent from the following more particular description of example embodiments of the invention, as illustrated in the accompanying drawings in which like reference characters refer to the same parts throughout the different views. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating embodiments of the present invention.

FIG. 1 is a block diagram illustrating a multi-core processor chip according to at least one example embodiment;

FIG. 2 is a flowchart illustrating a method for controlling power in a multi-core processor chip according to at least one example embodiment;

FIGS. 3A and 3B are block diagrams illustrating example serial configurations for accumulating power estimate(s) from the multiple core processors;

FIG. 4 is a block diagram illustrating a configuration for accumulation power estimates from multiple coprocessor blocks; and

FIG. 5 shows examples of a clock signal associated with a coprocessor block clock and a corresponding modified clock signal, according to at least one example embodiment.

DETAILED DESCRIPTION

A description of example embodiments of the invention follows.

Typical power management techniques for multi-core processor chips are usually local to a corresponding core processor, and are not performed globally for the multi-core processor chip. When applying power management locally at each core processor, a power consumption budget for the multi-core processor chip is divided by the corresponding number of core processors to compute a power budget for each core processor. Then, each core processor manages its power independently of other core processors based on the computed power budget for each core processor. As such, the dynamic power of a given core processor may be limited. Also, applying power management locally at each core processor may lead to performance degradation. For example, while a first core processor may be using only a small portion of the power budget available to it, a second core processor may need more power than allowed by the computed power budget for each core processor. As such, some tasks may take longer to be performed, when performing power management locally, and may result in consuming more power at the multi-core processor chip. In the following, embodiments of applying global power management at the chip level are described.

FIG. 1 is a block diagram illustrating a multi-core processor chip 100 according to at least one example embodiment. The multi-core processor chip 100 includes multiple core processors, e.g., 120-1-120-N, and a central controller 110. The central controller 110 is configured to manage the global power of the multi-core processor chip 100. The central controller is coupled to the multiple core processors 120-1-120-N and is configured to determine an estimate of global power consumption by the multi-core processor chip 100 over a given time interval. According to at least one aspect, the global power estimate is determined, over a fixed time interval, periodically. In determining the global power estimate, the central controller 110 is configured to record one or more power estimates associated with the multiple core processors, e.g., 120-1-120-N. At the each of the multiple core processors, e.g., 120-1-120-N, local power estimation may be performed according to embodiments described in the U.S. Pat. No. 8,356,194, which is incorporated herein in its entirety.

The multi-core processor chip 100 may further include one or more coprocessor blocks, e.g., 130-1-130-M. According to at least one example embodiment, the coprocessor blocks, e.g., 130-1-130-M, are configured to perform input/output (I/O) interfacing operations and/or other operations to supplement the functions of the multiple core processors, e.g., 120-1-120-N. The central controller 110 is configured to take into account power consumed by the coprocessor blocks, e.g., 130-1-130-M, when determining the global power estimate of the multi-core processor chip 100.

FIG. 2 is a flowchart illustrating a method for controlling power in the multi-core processor chip 100 according to at least one example embodiment. At block 210, one or more power estimates associated with the multiple core processors, e.g., 120-1-120-N, are accumulated by the central controller 110. The central controller 110 may further accumulate power estimate(s) associated with the one or more coprocessor blocks, e.g., 130-1-130-M, at block 220 if the multi-core processor chip 100 includes such coprocessor blocks.

At block 230, the central controller 110 makes use of the accumulated power estimate(s) to determine an estimate of the cumulative power consumed by the multi-core processor chip 100 over a fixed time interval. For example, the central controller 110 may sum the accumulated power estimates associated with the multiple core processors, e.g., 120-1-120-N, and, if applicable, the accumulated power estimate(s) associated with the one or more coprocessor blocks, e.g., 130-1-130-M. The central controller may alternatively, or additionally, perform other computational processing in determining the cumulative power estimate. The process at block 230 may be optional. For example, the central controller may accumulate a single power estimate indicative of the cumulative power consumed by the multiple core processors, e.g., 120-1-120-N. In such case, the accumulated single power estimate may be used as the cumulative power estimate.

At block 240, a global power threshold is determined by the central controller 110. The global power threshold is determined based on the cumulative power estimate. Besides the cumulative power estimate, a target power value may further be used in determining the global power threshold. The global power threshold represents a global power consumption limit not to be exceeded by any of the core processors over a fixed time interval. The target power value is indicative of a target power consumption level for the multi-core processor chip 100 over the fixed time interval.

According to at least one example implementation, the central controller 110 maintains a cumulative difference parameter and a global power threshold parameter. The cumulative difference parameter, e.g., Cum_Diff, represents a sum or average of differences between determined cumulative power estimates, e.g., Cum_Power_Estimate and target power, e.g., Target_Power. For example, at each time interval, the cumulative difference parameter is updated as:

Cum_Diff=Cum_Diff+(Cum_Power_Estimate−Target_power).

The Cum_Diff parameter is expected to be close to zero if there is sufficient work load to keep the multiple core processors, e.g., 120-1-120-N, busy for a given time interval. If there is insufficient workload for time period, the Cum_Diff parameter becomes negative until it reaches a negative minimum at which the parameter saturates. The negative minimum value, or saturation value, may be defined based on a thermal constant indicating, for example, that the multi-core processor chip 100 has been idle for the last few milli-seconds. In other words, the saturation value enables the multi-core processor chip 100 to memorize only its short and relevant history. Alternatively, the cumulative power difference may be defined as a weighted sum.

The global power threshold parameter, e.g., Global_lim, may be updated at each time interval as:

Global_lim=Global_lim+1 if (Cum_Power_Estimate<Target_Power) and (Cum_Diff<0), and

Global_lim=Global_lim−1 if (Cum_Power_Estimate>Target_Power).

That is, the global power threshold is incremented only if the cumulative power estimate is less than the target power and the cumulative difference is less than zero. Also, the global power threshold is decremented only if the cumulative power estimate is greater than the target power.

According to an example aspect, the target power value may be set as a constant by the manufacturer of the multi-core processor chip 100. Alternatively, the target power value may be settable by the software of the multi-core processor chip 100. According to yet another aspect, the target power may be dynamic, e.g., based on information provided by temperature sensors. For example, the target power may change based on the recorded temperature of the multi-core processor chip 100.

Once the global power threshold, e.g., Global_lim, is determined for a particular time interval, the central controller 110 is configured to cause at least one core processor to reduce or increase its power consumption. According to an example embodiment, the central controller 110 may send a command to all core processors, e.g., 120-1-120N, instructing the core processors to control their corresponding power consumption. For example, the central controller 110 may send the determined global power threshold, e.g., Global_lim, to all the core processors, e.g., 120-1-120-N. Each core processor maintains a local power limit value, e.g., Power_lim. Alternatively, the central controller 110 may send a value representing an increment, or decrement, to be applied to a previous global power threshold. At each core processor, the minimum of the global power threshold and the local power limit is used as an upper limit for power consumption in at least the next time interval. According to yet another example embodiment, the central controller 110 may directly reduce, or increase, power consumption at the multiple core processors, e.g., 120-1-120-N. For example, the central controller may adjust the frequency of a master clock resulting in adjustment of the frequency of the clocks of the multiple core processors, e.g., 120-1-120-N.

According to at least one example embodiment, when the determined cumulative power estimate for the multi-core processor chip 100 does not exceed the target power, the central controller 110 sends a signal to the core processors, e.g., 120-1-120-N, indicating that they do not need to throttle themselves, that is to reduce their corresponding frequencies. However, when the determined cumulative power estimate for the multi-core processor chip 100 does exceed the target power and the cumulative difference is zero, the central controller 110 sends a signal to instruct the core processors, e.g., 120-1-120-N, to throttle themselves. Whether instructing the core processors, e.g., 120-1-120-N, to throttle themselves or not, the signal sent may include an indication of a control operation and a payload carrying the global power threshold value. Then, by comparing the global power threshold value to the local power limit, each core processor decides whether or not to perform throttling. In other words, the signal sent may be similar to the signal representing the read command except that the indication of the operation indicates a control operation instead of a read operation and the payload represents the global power threshold value instead of the power estimate value. For example, a read command may be indicated by 0 and the control command may be indicated by 1.

According to another example implementation, two wires may couple the central controller 110 to the core processors, e.g., 120-1-120-N. One wire may be referred to as “throttle_this_interval” wire. This wire is broadcast to all core processors, e.g., 120-1-120-N. The “throttle_this_interval” wire may be broadcast serially to the core processors, e.g., 120-1-120-N. The second wire may be referred to as a “sum” wire. The “sum” wire is sent serially around to each core processor, or to a subset of the multiple core processors, and returns to the central controller 110 after traversing through each core processor. After an idle phase, the first assertion of the “sum” wire indicates that a cumulative power estimate follows within a next number of bits on the wire, LSB first and most significant bit (MSB) last. When a core processor detects that the “sum” wire is on, it knows to add its local power estimate to the cumulative power estimate on the next number of bits. The central controller receives the “sum” wire and appropriately sets the “throttle_this_interval” wire when applicable.

According to at least one example implementation, the accumulation of the power estimate(s) is performed within a half of the fixed time interval, while instructing the core processors to control their corresponding power consumption occurs within the other half of the fixed time interval. For example, if the fixed time interval is equal to 256 clock cycles, accumulating the power estimate(s) by the central controller 110 is performed within 128 clock cycles, and instructing the core processors, e.g., 120-1-120-N, to control their corresponding power consumption takes another 128 clock cycles. Determining the global power threshold by the central controller 110 may be considered as part of accumulating power estimate(s) or part of instructing the core processors, e.g., 120-1-120-N, to control their corresponding power consumptions.

At each of the multiple core processors, e.g., 120-1-120-N, once a signal or command is received with instructions to reduce local power consumption, proper action is taken by the core processor. One way of reducing power consumption is to reduce the local clock frequency. Such approach may be applicable when each core processor has its own phase locked-loop (PLL). Another way of reducing local power consumption at a core processor is to stop issuing instructions. For example, the core processor may keep processing instructions within the fixed time interval until power consumption exceeds the local power limit or the global power threshold received from the central controller 110 and then stops issuing instructions until the end of the fixed time interval.

FIGS. 3A and 3B are block diagrams illustrating example serial configurations for accumulating power estimate(s) from the multiple core processors, e.g., 120-1-120-N. FIG. 3A shows a single serial configuration according to which the central controller sends a read command to one of the core processors, e.g., 120-1. According to an example aspect, the read command includes an indication of the read operation and a payload representing a power estimate to be returned to the central controller 110. The first core processor, e.g., 120-1, receives the read command from the central controller 110 and incorporates its estimated power consumption value into the payload of the read command. If the payload initial value is zero, the estimated power consumption value may be incorporated through an addition operation. The read command is then forwarded to the next core processor, e.g., 120-2.

The core processor 120-2 is configured to add its estimated power consumption value to the payload value and forward the read command to the next core processor, e.g., 120-3. The addition of the locally estimated power consumption value and the payload value is repeated at each of the core processors 120-2-120-N. At the last core processor, e.g., 120-N, the final addition result is forwarded to the central controller 110. The value forwarded to the central controller may be used as the cumulative power estimate for all the core processors, e.g., 120-1-120-N, or further computational processing may be applied. The addition operations performed at the core processors may result in a time delay of the arrival of the final result to the central controller 110.

According to an example implementation, such time delay may be reduced by applying addition and forwarding bit by bit. In other words, starting from the least significant bit (LSB), once addition is performed, the carry-over value is saved, while the addition result bit is forwarded. Then, the carry-over value and the next LSBs of the locally estimated consumption power value and the payload value are added. The new carry-over value is saved and the addition result bit is forwarded to the next core processor. At the next core processor, similar operations are performed. That is, as soon as a bit of the payload is received, the corresponding addition is performed and the addition result bit is forwarded to another core processor. As such, the time delay is significantly reduced.

In FIG. 3B, the core processors are arranged into four serial configurations, e.g., 120-1-120-k1, 120-(k1+1)-120-k2, 120-(k2+1)-120-k3, and 120-(k3+1)-120-N. The bit-by-bit addition and forwarding may be applied within each serial configuration. The central controller 110 receives four power estimates, e.g., from the core processors 120-k1, 120-k2, 120-k3, and 120-N. Each of the four power estimates represents a cumulative power estimate for the corresponding serial configuration. In order to compute the cumulative power estimate, the central controller 110, for example, sums the four received power estimates. The central controller 110 may perform other computational processing in determining the cumulative power estimate for all the core processors, e.g., 120-1-120-N.

FIG. 4 is a block diagram illustrating a configuration for accumulation power estimates from multiple coprocessor blocks, e.g., 130-1-130-M. Within each coprocessor block, most of the power, e.g., about 90 percent, is consumed by the corresponding clock(s). A coprocessor block, e.g., 130-1, 130-2, . . . , or 130-M may have one or more clocks. According to an example embodiment, the central controller 110 receives information from coprocessor blocks, e.g., 130-1-130-M, enabling power consumption estimation for each of the corresponding clocks. For example, the central controller 110 receives a modified clock signal for each clock associated with a coprocessor block. The estimated power consumptions associated with the clocks of the coprocessor blocks, e.g., 130-1-130-M, are summed with the power estimate(s) accumulated from the multiple core processors, e.g., 120-1-120-N, to generate a global cumulative power consumption estimate for the whole multi-core processor chip 100.

FIG. 5 shows examples of a clock signal 510 associated with a coprocessor block clock and a corresponding modified clock signal 520, according to at least one example embodiment. The modified clock signal 520 is received at the central controller 110 from a coprocessor block, e.g., 130-1, 130-2, . . . , or 130-M. The clock signal 510 typically has a higher frequency than that of the central controller 110. As such, if the clock signal 510 is sent to the central controller 110, the central controller may not properly sample the clock signal 510 in order to estimate the corresponding power. The clock signal 510 may include periods of idleness 511, which makes the different clock signals 510 associated with the coprocessor blocks, e.g., 130-1, 130-M, asynchronous.

According to an example embodiment, the modified clock signal 520 is generated by reducing a number of clock cycles in the clock signal 510 into a single cycle within the modified clock signal 520. For example, 32 clock cycles in the clock signal 510 correspond to a single cycle in the modified clock signal 520. As such, the central controller 110 is able to properly sample the modified clock signal 520.

Each coprocessor block, e.g., 130-1, 130-2, . . . , or 130-M, is configured to provide a count of the clock activity cycles associated with a clock in the same coprocessor block. Based on the count of clock cycles, a representation of the clock activity, e.g., the modified clock signal 520, is generated by mapping a predefined number, e.g., 32, of counted clock activity cycles into a single symbol within the generated representation of the clock activity. The generated representation is then received by the central controller 110. The central controller 110 may employ a lookup table, for example, to determine the power consumption associated with each generated representation of a clock activity. In determining the cumulative power consumption estimate for the whole multi-core processor chip 100, the central controller 110 may sum accumulated power estimate(s) associated with the multiple core processors, e.g., 120-1-120-N, as well as power estimate(s) corresponding to the coprocessor blocks, e.g., 130-1, 130-M.

While this invention has been particularly shown and described with references to example embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the invention encompassed by the appended claims.

Read more
PatSnap Solutions

Great research starts with great data.

Use the most comprehensive innovation intelligence platform to maximise ROI on research.

Learn More

Citation

Patents Cited in This Cited by
Title Current Assignee Application Date Publication Date
電源分配システム YAZAKI CORP 05 April 2004 20 October 2005
半導体回路のクロック周波数制御方法およびデータ処理装置 SONY CORP 11 September 1996 10 April 1998
最大电流限制方法和设备 超威半导体公司 01 December 2011 04 September 2013
内部に温度検出機能を備えたマイクロプロセッサ 株式会社ピーエフユー 27 July 1993 14 February 1995
多处理器核心的功率管理 英特尔公司 30 October 2009 22 December 2010
See full citation <>

More like this

Title Current Assignee Application Date Publication Date
Processor core energy management INTEL CORPORATION 03 October 2016 22 June 2017
Current control for a multicore processor INTEL CORPORATION 15 May 2017 21 December 2017
Method, system, and apparatus for improving multi-core processor performance INTEL CORPORATION 20 January 2006 08 June 2006
Dynamically updating a power management policy of a processor INTEL CORPORATION 30 November 2016 20 July 2017
Thermal mitigation with power duty cycle QUALCOMM INCORPORATED 13 January 2016 25 August 2016
Enhanced dynamic clock and voltage scaling (DCVS) scheme QUALCOMM INCORPORATED 24 February 2017 12 October 2017
System power management INTEL CORPORATION 06 February 2017 12 October 2017
Multi-core processor for optimized power consumption in a security and home automation system TYCO SAFETY PRODUCTS CANADA LTD. 23 December 2015 14 July 2016
See all similar patents <>

More Patents & Intellectual Property

PatSnap Solutions

PatSnap solutions are used by R&D teams, legal and IP professionals, those in business intelligence and strategic planning roles and by research staff at academic institutions globally.

PatSnap Solutions
Search & Analyze
The widest range of IP search tools makes getting the right answers and asking the right questions easier than ever. One click analysis extracts meaningful information on competitors and technology trends from IP data.
Business Intelligence
Gain powerful insights into future technology changes, market shifts and competitor strategies.
Workflow
Manage IP-related processes across multiple teams and departments with integrated collaboration and workflow tools.
Contact Sales
Clsoe
US10152102 Method managing 1 US10152102 Method managing 2 US10152102 Method managing 3