gpu support for sparse calculation : times function
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
The gpu support for matlab is so slow and going at snail's pace. Each release, seems like 1-2 functions are added which is sad and frustrating. For example, mtimes is supported but times is not. One can hardly implement anything with such a reduced capability. Are there other external ways to do this other than writing CUDA code which most people cannot.
0 Kommentare
Antworten (2)
Edric Ellis
am 17 Mai 2016
You're quite right that times is not currently supported for sparse gpuArray, although the scalar-expansion version of mtimes is supported, e.g.:
2 * gpuArray.sprand(10, 10, 0.1)
Presumably, you need non-scalar version of times for your code?
Looking at the Parallel Computing Toolbox release notes shows the new GPU functionality added in each release. Are there specific functions or families of functions that you'd like to see implemented?
0 Kommentare
Suresh
am 17 Mai 2016
2 Kommentare
Edric Ellis
am 18 Mai 2016
I'll add times for sparse gpuArray to our list for consideration to add. accumarray already supports sparse output on the GPU, like so:
N = 1000;
Sin = gpuArray(sprand(N, N, 0.1));
[I, J, V] = find(Sin);
Sout = accumarray([I J], V, [N N], [], [], true);
isequal(Sin, Sout) % Returns true
or did you mean something different?
Siehe auch
Kategorien
Mehr zu GPU Computing finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!