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Rutwik Choughule 1f76a2d110 add and update samples for CUDA 11.5		2021-10-21 16:34:49 +05:30
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.vscode	add and update samples for CUDA 11.5	2021-10-21 16:34:49 +05:30
egl_common.h	add and update samples for CUDA 11.5	2021-10-21 16:34:49 +05:30
EGLSync_CUDAEvent_Interop.cu	add and update samples for CUDA 11.5	2021-10-21 16:34:49 +05:30
findegl.mk	add and update samples for CUDA 11.5	2021-10-21 16:34:49 +05:30
graphics_interface.h	add and update samples for CUDA 11.5	2021-10-21 16:34:49 +05:30
Makefile	add and update samples for CUDA 11.5	2021-10-21 16:34:49 +05:30
NsightEclipse.xml	add and update samples for CUDA 11.5	2021-10-21 16:34:49 +05:30
README.md	add and update samples for CUDA 11.5	2021-10-21 16:34:49 +05:30

README.md

EGLSync_CUDAEvent_Interop - EGLSync CUDA Event Interop

Description

Demonstrates interoperability between CUDA Event and EGL Sync/EGL Image using which one can achieve synchronization on GPU itself for GL-EGL-CUDA operations instead of blocking CPU for synchronization.

Key Concepts

EGLSync-CUDAEvent Interop, EGLImage-CUDA Interop

Supported SM Architectures

SM 3.5 SM 3.7 SM 5.0 SM 5.2 SM 6.0 SM 6.1 SM 7.0 SM 7.2 SM 7.5 SM 8.0 SM 8.6

Supported OSes

Supported CPU Architecture

armv7l

CUDA APIs involved

CUDA Driver API

cuDeviceGet, cuDeviceGetAttribute, cuDeviceComputeCapability, cuDeviceGetCount, cuDeviceGetName, cuCtxCreate, cuMemAlloc, cuMemFree, cuMemcpy3D, cuStreamCreate, cuCtxPushCurrent, cuCtxPopCurrent, cuCtxDestroy

Dependencies needed to build/run

EGL, EGLSync, X11, GLES

Prerequisites

Download and install the CUDA Toolkit 11.5 for your corresponding platform. Make sure the dependencies mentioned in Dependencies section above are installed.