Declare shared memory in CUDA Fortran using thesharedvariable qualifier in the device code. There are multiple ways to declare shared memory inside a kernel, depending on whether the amount of memory is known at compile time or at runtime. The following complete code example shows various methods...
但对于科学与工程计算中的重要编程语言Fortran，无法直接地改写为 CUDA C或 OpenCL。
(General-purpose computing on graphics processing units,简称GPGPU)的并行计算平台和并行编程接口,包含三种使用方式:直接调用CUDA计算库、使用类似OpenMP的OpenACC编译指示、使用CUDA编程语言,这三者的易用性依次递减,灵活性依次递增.其中CUDA编程语言通过在已有编程语言(C,Fortran等)基础上加入扩展实现了异构并行编程,为...
CUDA Fortran is designed to interoperate with other popular GPU programming models including CUDA C, OpenACC and OpenMP. You can directly access all the latest hardware and driver features including cooperative groups, Tensor Cores, managed memory, and direct to shared memory loads, and more. Low...
CUDA™是一种由NVIDIA推出的通用并行计算架构,该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构(ISA)以及GPU内部的并行计算引擎。 开发人员可以使用C语言来为CUDA™架构编写程序,所编写出的程序可以在支持CUDA™的处理器上以超高性能运行。CUDA3.0已经开始支持C++和FORTRAN。
Fortran 的开发者能够使用 CUDA Fortran,编译使用 PGI CUDA Fortran。当然 CUDA 平台也支持其他的编程接口,包括 OpenCL,微软的 DirectCompute、OpenGL ComputeShaders 和 C++ AMP。第三方的开发者也可以使用 Python、Perl、Fortran、Java、Ruby、Lua、Haskell、R、MATLAB、IDL 由曼赛马提亚原生支持。
CUDA Fortran SC11 用户指南说明书 CUDA Fortran SC11 Dr. Justin Luitjens, NVIDIA Corporation
使用CUDA,我们可以开发出同时在CPU和GPU上运行的通用计算程序,更加高效地利用现有硬件进行计算。为了简化并行计算学习,CUDA为程序员提供了一个类C语言的开发环境以及一些其它的如FORTRAN、DirectCOmpute、OpenACC的高级语言/编程接口来开发CUDA程序。 2. CUDA编程模型如何扩展?
```fortran subroutine matrixMul(C, A, B, N) bind(C) use cudafor implicit none integer, value :: N real :: A(:,:), B(:,:), C(:,:) real, shared :: temp(N) ! Declare shared memory for temp array integer :: blockSize, gridSize ! Block and grid size for the kernel launch...
CUDA Fortran is designed to interoperate with other popular GPU programming models including CUDA C, OpenACC and OpenMP. You can directly access all the latest hardware and driver features including cooperative groups, Tensor Cores, managed memory, and direct to shared memory loads, and more. Low...