Release v13.3 of the CUDA samples with CUDA 13.3 Toolkit (#435)

This is the release of the CUDA 13.3 samples, which include additions for CUDA Tile C++, and updated CCCL and Python samples.
This commit is contained in:
Dheemanth
2026-05-27 14:50:59 -07:00
committed by GitHub
parent aeab82ff30
commit b7c5481c55
150 changed files with 7977 additions and 246 deletions

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@@ -64,8 +64,8 @@ linking modes are verified against a NumPy reference.
- CUDA Toolkit 13.0 or newer (matches `cuda-python` 13.x)
- Python 3.10 or newer
- `cuda-python` (>=13.0.0)
- `cuda-core` (>=0.6.0)
- `cupy-cuda13x` (>=13.0.0)
- `cuda-core` (>=1.0.0)
- `cupy-cuda13x` (>=14.0.0)
## Installation
@@ -79,8 +79,8 @@ pip install -r requirements.txt
The `requirements.txt` installs:
- `cuda-python` (>=13.0.0)
- `cuda-core` (>=0.6.0)
- `cupy-cuda13x` (>=13.0.0)
- `cuda-core` (>=1.0.0)
- `cupy-cuda13x` (>=14.0.0)
## How to Run

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@@ -140,9 +140,7 @@ def link_lto(device):
main_obj = Program(MAIN_SRC, "c++", options=prog_opts).compile("ltoir")
user_obj = Program(USER_SRC, "c++", options=prog_opts).compile("ltoir")
linker_opts = LinkerOptions(
arch=f"sm_{device.arch}", link_time_optimization=True
)
linker_opts = LinkerOptions(arch=f"sm_{device.arch}", link_time_optimization=True)
linker = Linker(main_obj, user_obj, options=linker_opts)
return linker.link("cubin")
@@ -175,7 +173,9 @@ def main() -> int:
description="JIT + LTO linking of two device modules with cuda.core"
)
parser.add_argument(
"--elements", type=int, default=1 << 16,
"--elements",
type=int,
default=1 << 16,
help="Number of float32 elements (default: 65536)",
)
parser.add_argument("--device", type=int, default=0, help="CUDA device id")
@@ -186,7 +186,7 @@ def main() -> int:
print_gpu_info(device)
stream = device.create_stream()
cp.cuda.ExternalStream(int(stream.handle)).use()
cp.cuda.Stream.from_external(stream).use()
try:
N = args.elements

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@@ -1,5 +1,5 @@
# JIT + LTO Linking Sample Requirements
cuda-python>=13.0.0
cuda-core>=0.6.0
cupy-cuda13x>=13.0.0
cuda-core>=1.0.0
cupy-cuda13x>=14.0.0