CUDA Driver API (PDF) - v12.8.0 (older) - Last updated January 23, 2025 - Send Feedback 3. Stream synchronization behavior Default stream The default stream, used when 0 is passed as a cudaStream_t or by APIs that operate on a stream implicitly, can be configured to have either legac...
< Previous | Next > CUDA Driver API (PDF) - v12.8.1 (older) - Last updated March 04, 2025 - Send Feedback 6.10. Module Management This section describes the module management functions of the low-level CUDA driver application programming interface. Enumerations enum CUmoduleLoadingMode ...
《CUDA_C_Programming_Guide.pdf》Driver API小节:介绍使用Driver API的方式,相当是一个入门级介绍; vectorAddDrv项目:该项目是一个使用了Driver API的sample,其所在的默认安装目录是"/root/NVIDIA_CUDA-7.0_Samples/0_Simple/vectorAddDrv"。 《CUDA_Driver_API.pdf》:该文件提供了所有相关的API,但未介绍如何使用...
In CUDA Toolkit 3.2 and the accompanying release of the CUDA driver, some important changes have been made to the CUDA Driver API to support large memory access for device code and to enable further system calls such as malloc and free. Please refer to the CUDA Toolkit 3.2 Readiness Tech ...
package cu provides an idiomatic interface to the CUDA Driver API. gogolangcudacuda-driver-api UpdatedJun 23, 2024 Go JuliaGPU/CUDAdrv.jl Star66 Code Issues Pull requests A Julia wrapper for the CUDA driver API. juliacudajulia-librarycuda-driver-api ...
Driver API允许开发人员更详细地控制GPU的行为,包括访问GPU硬件资源、配置GPU寄存器和指令流等。CUDA Driver API是一种基于句柄的底层接口(式多对象通过句柄被引用),可以加载二进制或汇编形式的内核函数模块,指定参数,并启动计算。CUDA Driver API的编程复杂,但有时能通过直接操作硬件的执行实行一些更加复杂的功能键,或...
nvGRAPH NCCL See More Libraries OpenACC CUDA Profiling Tools Interface See More Tools Domains with CUDA-Accelerated Applications CUDA accelerates applications across a wide range of domains from image processing, to deep learning, numerical analytics and computational science. ...
CUDA Driver API 使用说明 1. 简介 CUDA Driver API是在CUDA动态库(libcuda.so)中实现。若在eclipse环境中开发时,需要添加libcuda.so文件所在的路径,并在程序中引用cuda.h文件。 2. 环境配置 2.1 源程序 对于Driver API的使用只需在源程序中include相应的头文件cuda.h,并在使用其它的Driver API之前,需要先调用...
CUDA Driver API:GPU设备的抽象层,通过提供一系列接口来操作GPU设备,性能最好,但编程难度高,一般不会使用该方式开发应用程序。 CUDA Runtime API:对CUDA Driver API进行了一定的封装,调用该类API可简化编程过程,降低开发难度; CUDA Libraries:是对CUDA Runtime API更高一层的封装,通常是一些成熟的高效函数库,开发...
< Previous | Next > CUDA Driver API (PDF) - v12.8.1 (older) - Last updated March 04, 2025 - Send Feedback 6.5. Device Management This section describes the device management functions of the low-level CUDA driver application programming interface. Functions CUresult cuDeviceGet ( CU...