cancel
Showing results for 
Search instead for 
Did you mean: 

Archives Discussions

msalko
Journeyman III

Does r9 380x support double precision float?

Jump to solution

Hi.

I'm working on a neural network in openCL and I'd like to use double.

Does amd r9 380x support that??

martin.

0 Likes
1 Solution

Accepted Solutions
bridgman
Staff
Staff

Re: Does r9 380x support double precision float?

Jump to solution

AFAICS it does support double precision FP.

View solution in original post

0 Likes
5 Replies

Re: Does r9 380x support double precision float?

Jump to solution

Hi. I've added you to the developers white list and moved this message to the OpenCL forum. You can now post in any of the developer forums.

0 Likes
bridgman
Staff
Staff

Re: Does r9 380x support double precision float?

Jump to solution

AFAICS it does support double precision FP.

View solution in original post

0 Likes
nibal
Challenger

Re: Does r9 380x support double precision float?

Jump to solution

My lowly R9 270 has them:  cl_khr_fp64 cl_amd_fp64. So, a superior r9 380x should have them as well.

BR,

Nikos

0 Likes
realhet
Miniboss

Re: Does r9 380x support double precision float?

Jump to solution

Hi,

AMD Radeon Rx 300 series - Wikipedia, the free encyclopedia

The R9 380 has 1/16 double prerformance rate.

There are a few options:

- Get a new workstation gpu, those have good double performance, but also they aren't cheap.

- Get an older GCN gpu: As I remember, the HD7970 was at 1/4 rate.

- Get a fast new gaming card but use big numbers realized with the fast 32bit float instructions and their integer variants: v_mad_i32_i24 for example. Maybe the task can be done with this at the required precision, and if it is faster than the 1/16 rate, it can be a solution. (Note: If you need NAN/INF handling too, then this is a no go.)

msalko
Journeyman III

Re: Does r9 380x support double precision float?

Jump to solution

thanks.

I'm creating a neural network, and i was considering going for "fake decimal" but i suppose it's too much work for now since i haven't even finished the neural network

0 Likes