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author | Thomas Gleixner <[email protected]> | 2024-10-07 18:50:09 +0200 |
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committer | Thomas Gleixner <[email protected]> | 2024-10-15 17:30:32 +0200 |
commit | fb60c004f33e0fa2e87b9456b87f1b2709436b88 (patch) | |
tree | f2a0c16459c7465732a3b32c6f681d20a5b1c50d /tools/perf/scripts/python/parallel-perf.py | |
parent | 96a9a0421c77301f9b551f3460ac04471a3c0612 (diff) |
debugobjects: Rework object allocation
The current allocation scheme tries to allocate from the per CPU pool
first. If that fails it allocates one object from the global pool and then
refills the per CPU pool from the global pool.
That is in the way of switching the pool management to batch mode as the
global pool needs to be a strict stack of batches, which does not allow
to allocate single objects.
Rework the code to refill the per CPU pool first and then allocate the
object from the refilled batch. Also try to allocate from the to free pool
first to avoid freeing and reallocating objects.
Signed-off-by: Thomas Gleixner <[email protected]>
Reviewed-by: Zhen Lei <[email protected]>
Link: https://lore.kernel.org/all/[email protected]
Diffstat (limited to 'tools/perf/scripts/python/parallel-perf.py')
0 files changed, 0 insertions, 0 deletions