Profile in the Cloud with Nsight Systems
How to profile CUDA code on cloud GPU instances using Nsight Systems
Nsight Systems can connect to a remote machine via SSH to profile programs using CUDA. Data is collected remotely, but data downloaded for analysis locally.
You will need to know the 👤user
and 🏠host of the remote instance
to which to connect. It will also need to be set
up with a 🔑key or
✳️password that you can use to
access it. If you need to set up a GPU instance
on which to run your code, see the roundup
of cloud service providers.
- Install Nsight Systems
- Instructions are available at the Nsight Systems website. Alternatively, and perhaps more usually, Nsight Systems is installed as part of the CUDA Toolkit bundle. See the CUDA website for installation instructions. If installing this way, you only need to install the CUDA Toolkit, not the CUDA Driver, unless you are also planning to run CUDA code on your local machine.
- Start Nsight Systems
- If necessary, start a fresh project with File > New Project.
- Connect to the remote instance
-
Click Select target for profiling and
choose Configure targets. Click the
Create a new connection button. Enter
your 🏠
hostand 👤userthen click OK, Connect, Close. If you are using a ✳️passwordyou may be prompted for it. A message will show installation status and eventually Target is ready.
- Collect profile information
- Configure options and click Start to begin. Data is collected remotely but downloaded for analysis locally—a connection is not needed for reading reports.
The screen recording below demonstrates the steps.