July 2024
Intermediate to advanced
436 pages
10h 46m
English
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Chapter 7: Interfacing with CUDA C code and CUDA libraries
Abstract
This chapter deals with interface with CUDA C source code and libraries distributed with the Nvidia HPC SDK from CUDA Fortran.
Keywords
iso_c_binding module; ignore_tkr; cuBLAS; GEMM; Tensor cores; cuSPARSE; Compressed sparse row (CSR); Cholesky; cuTENSOR; Thrust; Sort; Unlimited polymorphism
This chapter covers how to interface CUDA Fortran with CUDA C, including both CUDA C source code and many of the CUDA libraries distributed with the NVIDIA HPC SDK. As far as the CUDA libraries are concerned, in this chapter we cover: cuBLAS, a CUDA implementation of the Basic Linear Algebra Subprograms (BLAS) library; cuSPARSE, a library of linear algebra routines that accommodates sparse matrices; ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.