NASP/cuda-samples
85
0
Fork 0
mirror of https://github.com/NVIDIA/cuda-samples.git synced 2026-10-25 22:28:17 +08:00
Code Issues Packages Projects Releases Wiki Activity

Bug 5659370: Update the README.md of sample subfolder according to the latest structure of the sample folder

Browse Source
This commit is contained in:
Shawn Zeng
2025-11-14 18:18:09 +08:00
parent 85231cd1b6
commit df6edf644e
5 changed files with 42 additions and 58 deletions
Download Patch File Download Diff File Expand all files Collapse all files

15
Samples/4_CUDA_Libraries/README.md
View File

@@ -4,9 +4,6 @@
### [batchCUBLAS](./batchCUBLAS)
A CUDA Sample that demonstrates how using batched CUBLAS API calls to improve overall performance.
### [batchedLabelMarkersAndLabelCompressionNPP](./batchedLabelMarkersAndLabelCompressionNPP)
An NPP CUDA Sample that demonstrates how to use the NPP label markers generation and label compression functions based on a Union Find (UF) algorithm including both single image and batched image versions.
### [boxFilterNPP](./boxFilterNPP)
A NPP CUDA Sample that demonstrates how to use NPP FilterBox function to perform a Box Filter.
@@ -34,18 +31,6 @@ This sample implements a conjugate gradient solver on GPU using CUBLAS and CUSPA
### [cudaNvSci](./cudaNvSci)
This sample demonstrates CUDA-NvSciBuf/NvSciSync Interop. Two CPU threads import the NvSciBuf and NvSciSync into CUDA to perform two image processing algorithms on a ppm image - image rotation in 1st thread & rgba to grayscale conversion of rotated image in 2nd thread. Currently only supported on Ubuntu 18.04
### [cudaNvSciNvMedia](./cudaNvSciNvMedia)
This sample demonstrates CUDA-NvMedia interop via NvSciBuf/NvSciSync APIs. Note that this sample only supports cross build from x86_64 to aarch64, aarch64 native build is not supported. For detailed workflow of the sample please check cudaNvSciNvMedia_Readme.pdf in the sample directory.
### [cuDLAErrorReporting](./cuDLAErrorReporting)
This sample demonstrates how DLA errors can be detected via CUDA.
### [cuDLAHybridMode](./cuDLAHybridMode)
This sample demonstrates cuDLA hybrid mode wherein DLA can be programmed using CUDA.
### [cuDLAStandaloneMode](./cuDLAStandaloneMode)
This sample demonstrates cuDLA standalone mode wherein DLA can be programmed without using CUDA.
### [cuSolverDn_LinearSolver](./cuSolverDn_LinearSolver)
A CUDA Sample that demonstrates cuSolverDN's LU, QR and Cholesky factorization.