NVIDIA CUDA 及其函数库 (NVIDIA CUDA and Library) 简述

1、CUDA 常用 debug 工具:(Frequently-used CUDA Debug Tools)

--IDEs: nsight (Linux, Mac), Nsight VSE (Windows)

--Debuggers: cuda-memcheck, cuda-gdb (Linux), Nsight VSE (Windows)

--Profilers: Nsight Systems, Nsight Compute, nvprof, nvvp, Nsight VSE (Windows)

--Utilities: cuobjdump, nvdisasm, gpu-library-advisor

2、CUDA 包括的库:(CUDA Library)

--cublas (BLAS)

--cublas_device (BLAS Kernel Interface)

--cuda_occupancy (Kernel Occupancy Calculation [header file implementation]) cudadevrt (CUDA Device Runtime)

--cudart (CUDA Runtime)

--cufft (Fast Fourier Transform [FFT])

--cupti (CUDA Profiling Tools Interface)

--curand (Random Number Generation)

--cusolver (Dense and Sparse Direct Linear Solvers and Eigen Solvers) cusparse (Sparse Matrix)

--nvJPEG (JPEG encoding/decoding)

--npp (NVIDIA Performance Primitives [image and signal processing]) nvblas ("Drop-in" BLAS)

--nvcuvid (CUDA Video Decoder [Windows, Linux])

--nvgraph (CUDA nvGRAPH [accelerated graph analytics])

--nvml (NVIDIA Management Library)

--nvrtc (CUDA Runtime Compilation)

--nvtx (NVIDIA Tools Extension)

--thrust (Parallel Algorithm Library [header file implementation])

3、CUDA 版本和驱动版本对照表:(Parallel Table of CUDA v.s. Drivers)

--Table 1. CUDA Toolkit and Compatible Driver Versions

--CUDA ToolkitLinux x86_64 Driver Version Windows x86_64 Driver Version

--CUDA 10.1.105 >= 418.39 >= 418.96

--CUDA 10.0.130 >= 410.48 >= 411.31

--CUDA 9.2 (9.2.148 Update 1) >= 396.37 >= 398.26

--CUDA 9.2 (9.2.88) >= 396.26 >= 397.44

--CUDA 9.1 (9.1.85) >= 390.46 >= 391.29

--CUDA 9.0 (9.0.76) >= 384.81 >= 385.54

--CUDA 8.0 (8.0.61 GA2) >= 375.26 >= 376.51

--CUDA 8.0 (8.0.44) >= 367.48 >= 369.30

--CUDA 7.5 (7.5.16) >= 352.31 >= 353.66

--CUDA 7.0 (7.0.28) >= 346.46 >= 347.62

问题来源

http://nvidia.zhidx.com/