CPU utilisation is very high

[jagan-pm]

I am running Python code to extract Roll, Pitch, and Yaw from a Microstrain 3DM-GX5-AHRS and store the data with timestamps. However, running this code consumes more than 90% of the CPU. How can I optimize and reduce the CPU utilization?
my system details.
Operating System: Ubuntu Mint 20.04
Software: Python 3
Hardware: Intel Atom Dual Core Processor SBC
RAM: 8 GB
Storage: 64 GB SSD
optimised_v2.txt

[msclissa]

Have you done any profiling to figure out what is causing the utilization to run high? Would you mind replacing node.getDataPackets() and the subsequent loop with

# look at how many packets node.getDataPackets() usually returns, probably averaged over a couple iterations
EXPECTED_PACKETS = 1

for i in range(EXPECTED_PACKETS):
    data_points.append(["0.0", "0.0", "0.0"])

Also, remove

node = DisplacementNode(connection)

to prevent continuous data collection and buffering.

Is CPU utilization still high when MSCL is removed from the equation?
Leaving the CSV open and just writing to it every loop instead of re-opening it every loop might also help?

A quick aside, I would recommend using InertialNode instead of DisplacementNode - it won't make a difference in this scenario because they use the same parser and getDataPackets() function, but InertialNode will have all the command interface functions your device supports.

[jagan-pm]

Thank you for your response and guidelines. However, the problem still persists. I have edited the code as per your suggestions and provided the updated code below. Additionally, I checked the CPU utilization using 'htop' in a Linux environment. Here are the results of the CPU utilization before and during the execution is provided here
HBK_RPY_CSV.txt

[jagan-pm]

Dear msclissa Please offer a proper solution for this . I contacted your team regarding very high CPU utilization, but I have not received a proper solution. I also posted the issue in the Git repository along with the program. Currently, I am trying to acquire data using the DCP manual for the 3DM-GX5-25 AHRS sensor. Could you please provide the commands or a sample program to acquire roll, pitch, and yaw data from the sensor? Thank you.

…

On Mon, Jul 1, 2024 at 8:21 PM msclissa ***@***.***> wrote: Have you done any profiling to figure out what is causing the utilization to run high? Would you mind replacing node.getDataPackets() and the subsequent loop with # look at how many packets node.getDataPackets() usually returns, probably averaged over a couple iterations EXPECTED_PACKETS = 1 for i in range(EXPECTED_PACKETS): data_points.append(["0.0", "0.0", "0.0"]) Also, remove node = DisplacementNode(connection) to prevent continuous data collection and buffering. Is CPU utilization still high when MSCL is removed from the equation? Leaving the CSV open and just writing to it every loop instead of re-opening it every loop might also help? A quick aside, I would recommend using InertialNode instead of DisplacementNode - it won't make a difference in this scenario because they use the same parser and getDataPackets() function, but InertialNode will have all the command interface functions your device supports. — Reply to this email directly, view it on GitHub <#392 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BH4JZTRSYK2HZIYI5RAOD4TZKFUIZAVCNFSM6AAAAABJ5W4KKOVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDEMBQGM3TEMRYGY> . You are receiving this because you authored the thread.Message ID: ***@***.***>

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