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CUDA 13.4 samples update - v13.4-public

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Release 13.4 of the CUDA Samples supported by CUDA Toolkit 13.4.
See Changelog for more information.
This commit is contained in:
Dheemanth
2026-09-09 15:07:08 -07:00
committed by GitHub
parent b7c5481c55
commit 5443602d89
871 changed files with 6843 additions and 321849 deletions
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2
python/4_DistributedComputing/simpleP2P/requirements.txt
View File

@@ -3,4 +3,4 @@
numpy>=2.3.2
cuda-python>=13.0.0
cuda-core>=1.0.0
cuda-core>=1.2.0

17
python/4_DistributedComputing/simpleP2P/simpleP2P.py
View File

@@ -157,6 +157,15 @@ def run(num_elements=1024 * 1024 * 16):
f"GPU{gpuid[0]}, GPU{gpuid[1]} and CPU Host)..."
)
# DeviceMemoryResource is backed by a device memory pool, which is not
# available on every device.
if not (
dev0.properties.memory_pools_supported
and dev1.properties.memory_pools_supported
):
print("\nDevice memory pools are not supported on this platform.")
return 2
# Allocate on GPU 0 and grant access to GPU 1
dev0.set_current()
mr0 = DeviceMemoryResource(dev0)
@@ -176,6 +185,14 @@ def run(num_elements=1024 * 1024 * 16):
)
# Allocate pinned host memory
# PinnedMemoryResource is backed by a host memory pool, which is not
# available on every device.
if not (
dev0.properties.host_memory_pools_supported
and dev1.properties.host_memory_pools_supported
):
print("\nHost pinned memory pools are not supported on this platform.")
return 2
pinned_mr = PinnedMemoryResource()
h0 = pinned_mr.allocate(buf_size, stream=dev0.default_stream)