gpu support single sparse matrix?

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Tung-Duong 2017-3-15

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回答： Mike Croucher 2025-8-13

采纳的回答： Joss Knight

I can't create a single-precision sparse matrix on the GPU. Does version 2017a allow that yet?

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Joss Knight 2017-3-15

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You can't create a single-precision sparse matrix on the CPU either, so the answer is no, this is not supported. Do you have an application in mind?

Thanks for the reply. That's also the type of application I have in mind, where collective behavior matters more than numerical precision. Which version do you use? With 2017a, I just tried single(A) where A is sparse matrix and it says "Attempt to convert to unimplemented sparse type".

Thomas Richner 2019-7-3

2 years later and I still miss seriously miss single and half precision sparse every day. Sad. It isn't only about memory savings--the single precision compute performance of a nvidia 1080 ti is 10x that of double precision.

I'm hoping that with deep nerual nets gaining traction in Matlab, they might find reason to implement single and half precision sparse arrays. Pytorch has these.

Until then I'm left either converting back and forth between double and single (which is slow) or running entirely with double with smaller simulations.

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Mike Croucher 2025-8-13

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Single Sparse is now supported, starting with R2025a on both the CPU and GPU. A detailed write up, including performance benchmarks, can be found at New in MATLAB: Single precision sparse matrices » The MATLAB Blog - MATLAB & Simulink