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.

python/4_DistributedComputing/ipcMemoryPool/README.md

@@ -68,8 +68,8 @@ round-trip test:
 - 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
 
@@ -83,8 +83,8 @@ 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
 

python/4_DistributedComputing/ipcMemoryPool/ipcMemoryPool.py

@@ -175,7 +175,7 @@ def main() -> int:
         f"(is_ipc_enabled={mr.is_ipc_enabled})"
     )
 
-    buffer = mr.allocate(nbytes)
+    buffer = mr.allocate(nbytes, stream=device.default_stream)
     try:
         # Fill the buffer with a known pattern from the parent side.
         arr = cp.from_dlpack(buffer).view(dtype=cp.float32)

python/4_DistributedComputing/ipcMemoryPool/requirements.txt

@@ -1,4 +1,4 @@
 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
 numpy>=1.24.0