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authorDragos Tatulea <dtatulea@nvidia.com>2024-08-16 12:01:55 +0300
committerMichael S. Tsirkin <mst@redhat.com>2024-09-25 07:07:42 -0400
commitdcf3eac01f063df0a60ea779399331d2ac535784 (patch)
tree1940d51e8daeced91b44db924ec14fb22347b96f /tools/perf/scripts/python/parallel-perf.py
parent61674c154bb7f19fad612242022276e8bd9e10d2 (diff)
vdpa/mlx5: Parallelize device suspend
Currently device suspend works on vqs serially. Building up on previous changes that converted vq operations to the async api, this patch parallelizes the device suspend: 1) Suspend all active vqs parallel. 2) Query suspended vqs in parallel. For 1 vDPA device x 32 VQs (16 VQPs) attached to a large VM (256 GB RAM, 32 CPUs x 2 threads per core), the device suspend time is reduced from ~37 ms to ~13 ms. A later patch will remove the link unregister operation which will make it even faster. Signed-off-by: Dragos Tatulea <dtatulea@nvidia.com> Reviewed-by: Tariq Toukan <tariqt@nvidia.com> Acked-by: Eugenio Pérez <eperezma@redhat.com> Message-Id: <20240816090159.1967650-7-dtatulea@nvidia.com> Signed-off-by: Michael S. Tsirkin <mst@redhat.com> Tested-by: Lei Yang <leiyang@redhat.com>
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