New CUSPARSE library of GPU-accelerated sparse matrix routines for sparse/sparse and dense/sparse operations delivers 5x to 30x faster performance than MKL New CURAND library of GPU-accelerated random number ge
常用的有:随机数生成(curand)、傅里叶变换(cufft)、基本线性代数(cublas)、稀疏矩阵运算(cusparse)、深度神经网络加速(cudnn)、解线性方程(cusolver) NVIDIA cuRAND 库详细介绍 NVIDIA cuRAND(CUDA Random Number Generation library)是 NVIDIA 提供的一个高性能伪随机数生成库,用于在 NVIDIA GPU 上生成随机数。cuRAND...
NVIDIA cuSPARSELt is a high-performance CUDA library dedicated to general matrix-matrix operations in which at least one operand is a sparse matrix:where refers to in-place operations such as transpose/non-transpose, and are scalars or vectors....
This is a CUDA implementation of the popular BLAS library. CUSPARSE—This library contains CUDA-accelerated algorithms for working with sparse and dense vectors and matrices. NPP—NVIDIA Performance Primitives. This library presently contains implementations of several algorithms for working with video and...
The cuSPARSE library user guide. NPP NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set of functionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompa...
Accelerating Scientific Computing Applications… Resources Documentation Training Community Get Started Members of the NVIDIA Developer Program get early access to all CUDA library releases and the NVIDIA online bug reporting and feature request system. Join the Developer Program...
THE CUSPARSE LIBRARY cuSPARSE就是一个线性代数库。对稀疏矩阵之类的操作尤其独到的使用方法。使用非常宽泛。 他当对稠密和稀疏的数据格式都支持。 下图是该库的一些函数调用。从中能够对其功能有一个大致的了解。 cuSPARSE将函数以level区分,全部level 1的function仅操作稠密和稀疏的vector。
cuSPARSE 库用户指南。 核电站 NVIDIA NPP 是一个用于执行 CUDA 加速处理的函数库。库中的初始功能集侧重于图像处理和视频处理,并广泛适用于这些领域的开发人员。NPP 将随着时间的推移而发展,以涵盖各种问题域中的更多计算繁重任务。NPP 库的编写是为了最大限度地提高灵活性,同时保持高性能。 NPPPlus的 NVIDIA C++...
cuRAND– Random Number Generation (RNG) Library cuSPARSE– Sparse Matrix Library NPP– Performance ...
CUDA MATH LIBRARY ( 数学函数库,通过源代码上添加“#include math.h”调用) CUBLAS(基本的线性代数库) CUSPARSE(用于处理稀疏矩阵的线性代数库) cuSOLVER(用于处理密集矩阵的高级线性代数库,稀疏矩阵直接求解,LU/SVD/QR分解,稀疏重构求解) CUFFT(快速傅里叶变换计算库) ...