Hi Christian – we’ll try to help, but first we need to find the right GPU and 
reproduce the problem.
Stay tuned, we’ll do what we can to assist you.
Dan
---------------------------------------------
Bernard A. and Frances M. Weideman Professor
NVIDIA CUDA Fellow
Department of Mechanical Engineering
Department of Computer Science
University of Wisconsin - Madison
4150ME, 1513 University Avenue
Madison, WI 53706-1572
608 772 0914
http://sbel.wisc.edu/
http://projectchrono.org/
---------------------------------------------

From: [email protected] <[email protected]> On Behalf 
Of Christian Feller
Sent: Wednesday, November 15, 2023 8:58 AM
To: ProjectChrono <[email protected]>
Subject: [chrono] Problems with Chrono OptiX sensors on Ampere GPUs

Dear all,

we are observing some strange behavior when trying to run lidar sensors from 
the Chrono::Sensor module on PCs with Ampere GPU (compute capability 8.6).

Our setup is as follows
- Chrono 7.0.0
- OptiX 7.2.0
- CUDA 11.6.2
- USE_CUDA_NVRTC=OFF
- CUDA_ARCH_NAME = Auto

Everything is running fine on Pascal or Turing GPUs and we see the lidar point 
cloud data that we would expect. However, when a colleague of mine is building 
and running the same code on his PC with Ampere GPU, the model as such is 
running OK, but we get "flashing" lidar point cloud data. More precisely, the 
correct point cloud data is returned at discrete time points, but most of the 
time the sensor seems to be returning blank data (i.e., zero intensity returns 
everywhere). We get the same behavior when using CUDA NVRTC.

Is this a known issue or has anyone observed something similar? Might this 
problem be solved by upgrading to Chrono 8.0 and/or a more recent OptiX or CUDA 
release?

To my understanding, the above toolset should be compatible with Ampere 8.6 
architecture and the observed behavior appears to be really strange  :/

Any help is highly appreciated!

Thanks,
Christian


Christian Feller

Lead Simulation Engineer
Danfoss Power Solutions GmbH & Co. OHG
Virtual Solutions & Verification
DPS R&D / Software







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