PantheonSim / GPUs / NVIDIA H100 PCIe
Simulated NVIDIA H100 PCIe: a GPU profile for CUDA and ROCm testing
PantheonSim, the GPU simulator for CUDA and ROCm, simulates the NVIDIA H100 PCIe (Hopper, 9.0) as the profile nvidia/h100-pcie.
The PCIe card version of the H100. It has 114 SMs, against 132 on the SXM5 module. Its profile is verified, which means it was read from a physical card.
The profile at a glance
These are the numbers a program can ask this simulated GPU, and the values nvidia-smi show for it. They come from the profile file in the simulator's repository, pinned to one commit of it.
| Property | Value |
|---|---|
| Profile id | nvidia/h100-pcie |
| Vendor and architecture | NVIDIA, Hopper |
| Compute capability | 9.0 |
| Device memory | 79.2 GiB, HBM |
| Streaming multiprocessors | 114 |
| Warp size | 32 |
| Max threads per multiprocessor | 2048 |
| Shared memory per block (opt-in maximum) | 227 KiB |
| L2 cache | 50 MiB |
| Memory bus width | 5120-bit |
| Power limit (profile) | 350 W |
| Maximum clocks (profile) | 1755 MHz shader, 1593 MHz memory |
| ECC memory | yes |
| PCIe link reported | Gen5 x16 |
| Tensor or matrix cores | yes |
| Verified (measured on a physical card) | yes |
What this GPU is for
The PCIe card version of the H100. It has 114 SMs, against 132 on the SXM5 module.
Hopper is compute capability 9.0. The simulator implements Hopper's warpgroup matrix instructions (wgmma), the tensor memory accelerator (TMA), thread-block clusters with their barriers, and distributed shared memory, and checks them against CUTLASS and CuTe's own Hopper unit tests.
Among the 37 NVIDIA profiles it ranks 16th by device memory (79.2 GiB) and 18th by SMs (114), counting the largest as first.
Is this profile verified?
Yes. This profile is marked verified, which means its values were read from a physical NVIDIA H100 PCIe by the simulator's characterization tools, not copied from a data sheet. Verified describes the profile's numbers: it says nothing about speed, because the simulator has no timing model.
Simulate this GPU
Build the simulator (see the docs) or open the playground, then:
nvcc -cudart shared -arch=compute_90 my_app.cu -o my_app vgpu run --gpu nvidia/h100-pcie ./my_app vgpu shell -y --gpu nvidia/h100-pcie --count 4 vgpu info --gpu nvidia/h100-pcie
This profile is compute capability 9.0. A kernel built for compute_75 runs on it and on every other NVIDIA profile; a kernel built for a newer architecture is refused by a profile that is older than it. Link the CUDA runtime shared (-cudart shared) so the simulator can stand in for it.
To use it every time, put gpu: nvidia/h100-pcie in a pantheonsim.yaml settings file, or in a GitHub Actions job give the PantheonSim action gpu: nvidia/h100-pcie (see CUDA and HIP tests in GitHub Actions). The simulator checks behaviour and has no timing model, so a run on a physical GPU before a release still counts. The CUDA guide explains the rest.
Where the numbers come from
Each profile file begins with a note on its sources. This is the note for NVIDIA H100 PCIe, as written in the file:
Source note for nvidia/h100-pcie
Generated by nvidia/tools/characterize.cu from a physical device. Every value below was read from the hardware, not a datasheet.
The GPU index lists every profile, and this one is measured on a physical card.
Related GPUs
Other Hopper profiles: