|Summary:||GEMM: Allocate memory for blocks only once|
|Product:||Eigen||Reporter:||Gael Guennebaud <gael.guennebaud>|
|Component:||Core - matrix products||Assignee:||Nobody <eigen.nobody>|
|Severity:||Optimization||CC:||chtz, gael.guennebaud, ilja.j.honkonen|
|Bug Depends on:||1568|
Description Gael Guennebaud 2016-12-19 04:20:05 UTC
Comment 1 Christoph Hertzberg 2016-12-19 10:58:36 UTC
As mentioned on the mailing list, we also don't always use stack allocation for parallelized GEMM. Not sure how easy it is to integrate this (we could certainly not encapsulate the allocation as it is now).
Comment 2 Ilja Honkonen 2016-12-19 18:58:27 UTC
I think Whaley is working on threaded version of http://math-atlas.sourceforge.net/ , or upgrading the threading for latest hardware, so that mailing list might be a good place to ask or search for ideas.
Comment 4 Nobody 2019-12-04 16:36:57 UTC
-- GitLab Migration Automatic Message -- This bug has been migrated to gitlab.com's GitLab instance and has been closed from further activity. You can subscribe and participate further through the new bug through this link to our GitLab instance: https://gitlab.com/libeigen/eigen/issues/1364.