How to Access Global Memory Efficiently in CUDA Fortran Kernels – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-24T16:00:00Z http://www.open-lab.net/blog/feed/ Greg Ruetsch <![CDATA[How to Access Global Memory Efficiently in CUDA Fortran Kernels]]> http://www.parallelforall.com/?p=521 2022-08-21T23:36:48Z 2013-01-04T02:16:42Z [caption id="attachment_8972" align="alignright" width="318"] CUDA Fortran for Scientists and Engineers shows how high-performance application developers can...]]> [caption id="attachment_8972" align="alignright" width="318"] CUDA Fortran for Scientists and Engineers shows how high-performance application developers can...

In the previous two posts we looked at how to move data efficiently between the host and device. In this sixth post of our CUDA Fortran series we discuss how to efficiently access device memory, in particular global memory, from within kernels. There are several kinds of memory on a CUDA device, each with different scope, lifetime, and caching behavior. So far in this series we have used global��

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