Add support for multi-dimensional parallel_for#15
Open
javier-cabezas wants to merge 1 commit intoharrism:masterfrom
Open
Add support for multi-dimensional parallel_for#15javier-cabezas wants to merge 1 commit intoharrism:masterfrom
javier-cabezas wants to merge 1 commit intoharrism:masterfrom
Conversation
Author
|
I have redone my previous pull request, removing all the changes due to spacing. I didn't know how to modify the previous request so I have created a new one. Sorry for the inconvenience. |
|
Any progress or ideas on this? Would be helpful for me as well. |
Owner
|
Sorry, this one is complex and I haven't had enough time to spend on it On Tue, Jan 19, 2016 at 12:26 AM Paul Lange notifications@github.com
|
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
I have implemented support for multi-dimensional (up to 3 dimensions) parallel_for. I have added an optional multidimensional index type for programmers to use in parallel_for invocations (plain integer values can be still used for 1D parallel_for). Grid and block in execution policy are dim3 values, now. However, in this first implementation blocks and grids are flattened to 1D. The rest of the dimensions in the iteration space are iterated within each thread. More intelligent policies can be implemented later. Check the modified example in parallel_for.
Please, let me know if you find this feature interesting or if I need to change anything to have it integrated.