1. 13 Aug, 2021 2 commits
    • Zhen Lei's avatar
      iommu/arm-smmu-v3: Use command queue batching helpers to improve performance · eff19474
      Zhen Lei authored
      The obvious key to the performance optimization of commit 587e6c10
      ("iommu/arm-smmu-v3: Reduce contention during command-queue insertion") is
      to allow multiple cores to insert commands in parallel after a brief mutex
      contention.
      
      Obviously, inserting as many commands at a time as possible can reduce the
      number of times the mutex contention participates, thereby improving the
      overall performance. At least it reduces the number of calls to function
      arm_smmu_cmdq_issue_cmdlist().
      
      Therefore, use command queue batching helpers to insert multiple commands
      at a time.
      Signed-off-by: default avatarZhen Lei <thunder.leizhen@huawei.com>
      Link: https://lore.kernel.org/r/20210811114852.2429-2-thunder.leizhen@huawei.comSigned-off-by: default avatarWill Deacon <will@kernel.org>
      eff19474
    • Sai Prakash Ranjan's avatar
      iommu/arm-smmu: Optimize ->tlb_flush_walk() for qcom implementation · ef75702d
      Sai Prakash Ranjan authored
      Currently for iommu_unmap() of large scatter-gather list with page size
      elements, the majority of time is spent in flushing of partial walks in
      __arm_lpae_unmap() which is a VA based TLB invalidation invalidating
      page-by-page on iommus like arm-smmu-v2 (TLBIVA).
      
      For example: to unmap a 32MB scatter-gather list with page size elements
      (8192 entries), there are 16->2MB buffer unmaps based on the pgsize (2MB
      for 4K granule) and each of 2MB will further result in 512 TLBIVAs (2MB/4K)
      resulting in a total of 8192 TLBIVAs (512*16) for 16->2MB causing a huge
      overhead.
      
      On qcom implementation, there are several performance improvements for
      TLB cache invalidations in HW like wait-for-safe (for realtime clients
      such as camera and display) and few others to allow for cache
      lookups/updates when TLBI is in progress for the same context bank.
      So the cost of over-invalidation is less compared to the unmap latency
      on several usecases like camera which deals with large buffers. So,
      ASID based TLB invalidations (TLBIASID) can be used to invalidate the
      entire context for partial walk flush thereby improving the unmap
      latency.
      
      For this example of 32MB scatter-gather list unmap, this change results
      in just 16 ASID based TLB invalidations (TLBIASIDs) as opposed to 8192
      TLBIVAs thereby increasing the performance of unmaps drastically.
      
      Test on QTI SM8150 SoC for 10 iterations of iommu_{map_sg}/unmap:
      (average over 10 iterations)
      
      Before this optimization:
      
          size        iommu_map_sg      iommu_unmap
            4K            2.067 us         1.854 us
           64K            9.598 us         8.802 us
            1M          148.890 us       130.718 us
            2M          305.864 us        67.291 us
           12M         1793.604 us       390.838 us
           16M         2386.848 us       518.187 us
           24M         3563.296 us       775.989 us
           32M         4747.171 us      1033.364 us
      
      After this optimization:
      
          size        iommu_map_sg      iommu_unmap
            4K            1.723 us         1.765 us
           64K            9.880 us         8.869 us
            1M          155.364 us       135.223 us
            2M          303.906 us         5.385 us
           12M         1786.557 us        21.250 us
           16M         2391.890 us        27.437 us
           24M         3570.895 us        39.937 us
           32M         4755.234 us        51.797 us
      
      Real world data also shows big difference in unmap performance as below:
      
      There were reports of camera frame drops because of high overhead in
      iommu unmap without this optimization because of frequent unmaps issued
      by camera of about 100MB/s taking more than 100ms thereby causing frame
      drops.
      Signed-off-by: default avatarSai Prakash Ranjan <saiprakash.ranjan@codeaurora.org>
      Link: https://lore.kernel.org/r/20210811160426.10312-1-saiprakash.ranjan@codeaurora.orgSigned-off-by: default avatarWill Deacon <will@kernel.org>
      ef75702d
  2. 10 Aug, 2021 3 commits
  3. 02 Aug, 2021 1 commit
  4. 25 Jul, 2021 9 commits
  5. 24 Jul, 2021 25 commits