Device queries – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-24T16:12:07Z http://www.open-lab.net/blog/feed/ Mark Harris <![CDATA[CUDA Pro Tip: Control GPU Visibility with CUDA_VISIBLE_DEVICES]]> http://www.open-lab.net/blog/parallelforall/?p=2503 2022-08-21T23:37:02Z 2014-01-28T01:47:24Z As a CUDA developer, you will often need to control which devices your application uses. In a short-but-sweet post on the Acceleware blog, Chris Mason writes:...]]> As a CUDA developer, you will often need to control which devices your application uses. In a short-but-sweet post on the Acceleware blog, Chris Mason writes:...GPU Pro Tip

As a CUDA developer, you will often need to control which devices your application uses. In a short-but-sweet post on the Acceleware blog, Chris Mason writes: As Chris points out, robust applications should use the CUDA API to enumerate and select devices with appropriate capabilities at run time. To learn how, read the section on Device Enumeration in the CUDA Programming Guide.

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Mark Harris <![CDATA[How to Query Device Properties and Handle Errors in CUDA C/C++]]> http://test.markmark.net/?p=459 2022-08-21T23:36:48Z 2012-11-22T07:01:04Z In this third post of the CUDA C/C++ series, we discuss various characteristics of the wide range of CUDA-capable GPUs, how to query device properties from...]]> In this third post of the CUDA C/C++ series, we discuss various characteristics of the wide range of CUDA-capable GPUs, how to query device properties from...

In this third post of the CUDA C/C++ series, we discuss various characteristics of the wide range of CUDA-capable GPUs, how to query device properties from within a CUDA C/C++ program, and how to handle errors. In our last post, about performance metrics, we discussed how to compute the theoretical peak bandwidth of a GPU. This calculation used the GPU��s memory clock rate and bus interface��

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Greg Ruetsch <![CDATA[How to Query Device Properties and Handle Errors in CUDA Fortran]]> http://test.markmark.net/?p=302 2022-08-21T23:36:47Z 2012-11-15T02:43:28Z [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 this third post of the CUDA Fortran series we discuss various characteristics of the wide range of CUDA-capable GPUs, how to query device properties from within a CUDA Fortran program, and how to handle errors. In our last post, about performance metrics, we discussed how to compute the theoretical peak bandwidth of a GPU. This calculation used the GPU��s memory clock rate and bus interface��

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