gpu support single sparse matrix?

3 views (last 30 days)
I can't create a single-precision sparse matrix on the GPU. Does version 2017a allow that yet?

Accepted Answer

Joss Knight
Joss Knight on 15 Mar 2017
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?
  7 Comments
Tung-Duong
Tung-Duong on 12 Dec 2017
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
Thomas Richner on 3 Jul 2019
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.

Sign in to comment.

More Answers (1)

Mike Croucher
Mike Croucher on 13 Aug 2025
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

Categories

Find more on Image Data Workflows in Help Center and File Exchange

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!