Runing 2 cuda processes simultaneously lowers fps












0















I have used the YOLO repository to train a model.
GPU - GTX 1080 TI (12GB VRAM)



For measuring the FPS, I have written a simple python script that processes video files.



When I run the python script from one terminal on a GTX 1080 TI, I get an FPS of 109 frames per second.



When I run the python script from 2 separate terminals simultaneously, they both print an FPS of 90 frames per second.



Why exactly does this happen? Is it processing sequentially, and not parallely?



I would like to run 2 detection streams with no loss in FPS. Is there a way to do so, some kind of optimization maybe?










share|improve this question

























  • one possibility: get two GPUs

    – Robert Crovella
    Nov 22 '18 at 15:21
















0















I have used the YOLO repository to train a model.
GPU - GTX 1080 TI (12GB VRAM)



For measuring the FPS, I have written a simple python script that processes video files.



When I run the python script from one terminal on a GTX 1080 TI, I get an FPS of 109 frames per second.



When I run the python script from 2 separate terminals simultaneously, they both print an FPS of 90 frames per second.



Why exactly does this happen? Is it processing sequentially, and not parallely?



I would like to run 2 detection streams with no loss in FPS. Is there a way to do so, some kind of optimization maybe?










share|improve this question

























  • one possibility: get two GPUs

    – Robert Crovella
    Nov 22 '18 at 15:21














0












0








0








I have used the YOLO repository to train a model.
GPU - GTX 1080 TI (12GB VRAM)



For measuring the FPS, I have written a simple python script that processes video files.



When I run the python script from one terminal on a GTX 1080 TI, I get an FPS of 109 frames per second.



When I run the python script from 2 separate terminals simultaneously, they both print an FPS of 90 frames per second.



Why exactly does this happen? Is it processing sequentially, and not parallely?



I would like to run 2 detection streams with no loss in FPS. Is there a way to do so, some kind of optimization maybe?










share|improve this question
















I have used the YOLO repository to train a model.
GPU - GTX 1080 TI (12GB VRAM)



For measuring the FPS, I have written a simple python script that processes video files.



When I run the python script from one terminal on a GTX 1080 TI, I get an FPS of 109 frames per second.



When I run the python script from 2 separate terminals simultaneously, they both print an FPS of 90 frames per second.



Why exactly does this happen? Is it processing sequentially, and not parallely?



I would like to run 2 detection streams with no loss in FPS. Is there a way to do so, some kind of optimization maybe?







python gpu yolo darknet






share|improve this question















share|improve this question













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edited Nov 23 '18 at 5:11







Blue

















asked Nov 22 '18 at 10:03









BlueBlue

208318




208318













  • one possibility: get two GPUs

    – Robert Crovella
    Nov 22 '18 at 15:21



















  • one possibility: get two GPUs

    – Robert Crovella
    Nov 22 '18 at 15:21

















one possibility: get two GPUs

– Robert Crovella
Nov 22 '18 at 15:21





one possibility: get two GPUs

– Robert Crovella
Nov 22 '18 at 15:21












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