Cuda api reference manual 5.0

CUDA Runtime API API Reference Manual. CUDA Runtime API vRelease Version | ii Table of Contents Chapter 1. Difference between the driver and runtime APIs Chapter 2. API synchronization behavior Chapter 3. Stream synchronization behavior Chapter 4. HIP allows coding in a single-source C++ programming language including features such as templates, C++11 lambdas, classes, namespaces, and more. HIP allows developers to use the “best” development environment and tools on each target platform. The “hipify” tool automatically converts source from CUDA to HIP.  · NVIDIA CUDA Toolkit Documentation. Search In: Entire Site Just This Document clear search search. CUDA Toolkit v CUDA Runtime API. 1. Difference between the driver and runtime APIs Interactions with the CUDA Driver API. Profiler Control [DEPRECATED] Profiler Control. Data types used by CUDA Runtime. 7. Data Structures.

Search In: Entire Site Just This Document clear search search. CUDA Toolkit v CUDA Runtime API. vRelease Version | April CUDA Runtime API API Reference Manual. ; CUDA Python API Reference; Toggle Light / Dark / Auto color theme. Toggle table of contents sidebar. CUDA Python Manual.

It is implemented using NVIDIA* CUDA* Runtime API and supports only NVIDIA GPUs. The OpenCV CUDA module includes utility functions, low-level vision primitives. ‣ Launching GPU kernels from other GPU subroutines running on the device using. CUDA and above dynamic parallelism features. ‣ Relocatable device code. CUDA Integration · CUDA Contexts · CUDA Buffers · Serialization and IPC · Miscellaneous · Multi-Threading · Using with C extensions.