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From:   Petr Tesarik <petrtesarik@huaweicloud.com>
To:     Stefano Stabellini <sstabellini@kernel.org>,
        Russell King <linux@armlinux.org.uk>,
        Thomas Bogendoerfer <tsbogend@alpha.franken.de>,
        Thomas Gleixner <tglx@linutronix.de>,
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        "H. Peter Anvin" <hpa@zytor.com>,
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        Oleksandr Tyshchenko <oleksandr_tyshchenko@epam.com>,
        Christoph Hellwig <hch@lst.de>,
        Marek Szyprowski <m.szyprowski@samsung.com>,
        Robin Murphy <robin.murphy@arm.com>,
        Petr Tesarik <petr.tesarik.ext@huawei.com>,
        Jonathan Corbet <corbet@lwn.net>,
        Andy Shevchenko <andriy.shevchenko@linux.intel.com>,
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        James Seo <james@equiv.tech>,
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        Kees Cook <keescook@chromium.org>,
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Cc:     Roberto Sassu <roberto.sassu@huaweicloud.com>,
        Kefeng Wang <wangkefeng.wang@huawei.com>, petr@tesarici.cz
Subject: [PATCH v4 0/8] Allow dynamic allocation of software IO TLB bounce buffers
Date:   Thu, 13 Jul 2023 17:23:11 +0200
Message-Id: <cover.1689261692.git.petr.tesarik.ext@huawei.com>
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From: Petr Tesarik <petr.tesarik.ext@huawei.com>

Motivation
==========

The software IO TLB was designed with these assumptions:

1) It would not be used much. Small systems (little RAM) don't need it, and
   big systems (lots of RAM) would have modern DMA controllers and an IOMMU
   chip to handle legacy devices.
2) A small fixed memory area (64 MiB by default) is sufficient to
   handle the few cases which require a bounce buffer.
3) 64 MiB is little enough that it has no impact on the rest of the
   system.
4) Bounce buffers require large contiguous chunks of low memory. Such
   memory is precious and can be allocated only early at boot.

It turns out they are not always true:

1) Embedded systems may have more than 4GiB RAM but no IOMMU and legacy
   32-bit peripheral busses and/or DMA controllers.
2) CoCo VMs use bounce buffers for all I/O but may need substantially more
   than 64 MiB.
3) Embedded developers put as many features as possible into the available
   memory. A few dozen "missing" megabytes may limit what features can be
   implemented.
4) If CMA is available, it can allocate large continuous chunks even after
   the system has run for some time.

Goals
=====

The goal of this work is to start with a small software IO TLB at boot and
expand it later when/if needed.

Design
======

This version of the patch series retains the current slot allocation
algorithm with multiple areas to reduce lock contention, but additional
slots can be added when necessary.

These alternatives have been considered:

- Allocate and free buffers as needed using direct DMA API. This works
  quite well, except in CoCo VMs where each allocation/free requires
  decrypting/encrypting memory, which is a very expensive operation.

- Allocate a very large software IO TLB at boot, but allow to migrate pages
  to/from it (like CMA does). For systems with CMA, this would mean two big
  allocations at boot. Finding the balance between CMA, SWIOTLB and rest of
  available RAM can be challenging. More importantly, there is no clear
  benefit compared to allocating SWIOTLB memory pools from the CMA.

Implementation Constraints
==========================

These constraints have been taken into account:

1) Minimize impact on devices which do not benefit from the change.
2) Minimize the number of memory decryption/encryption operations.
3) Avoid contention on a lock or atomic variable to preserve parallel
   scalability.

Additionally, the software IO TLB code is also used to implement restricted
DMA pools. These pools are restricted to a pre-defined physical memory
region and must not use any other memory. In other words, dynamic
allocation of memory pools must be disabled for restricted DMA pools.

Data Structures
===============

The existing struct io_tlb_mem is the central type for a SWIOTLB allocator,
but it now contains multiple memory pools::

  io_tlb_mem
  +---------+   io_tlb_pool
  | SWIOTLB | 	+-------+   +-------+   +-------+
  |allocator|-->|default|-->|dynamic|-->|dynamic|-->...
  |    	    |  	|memory |   |memory |   |memory |
  +---------+ 	| pool  |   | pool  |   | pool  |
	      	+-------+   +-------+   +-------+

The allocator structure contains global state (such as flags and counters)
and structures needed to schedule new allocations. Each memory pool
contains the actual buffer slots and metadata. The first memory pool in the
list is the default memory pool allocated statically at early boot.

New memory pools are allocated from a kernel worker thread. That's because
bounce buffers are allocated when mapping a DMA buffer, which may happen in
interrupt context where large atomic allocations would probably fail.
Allocation from process context is much more likely to succeed, especially
if it can use CMA.

Nonetheless, the onset of a load spike may fill up the SWIOTLB before the
worker has a chance to run. In that case, try to allocate a small transient
memory pool to accommodate the request. If memory is encrypted and the
device cannot do DMA to encrypted memory, this buffer is allocated from the
coherent atomic DMA memory pool. Reducing the size of SWIOTLB may therefore
require increasing the size of the coherent pool with the "coherent_pool"
command-line parameter.

Performance
===========

All testing compared a vanilla v6.4-rc6 kernel with a fully patched
kernel. The kernel was booted with "swiotlb=force" to allow stress-testing
the software IO TLB on a high-performance device that would otherwise not
need it. CONFIG_DEBUG_FS was set to 'y' to match the configuration of
popular distribution kernels; it is understood that parallel workloads
suffer from contention on the recently added debugfs atomic counters.

These benchmarks were run:

- small: single-threaded I/O of 4 KiB blocks,
- big: single-threaded I/O of 64 KiB blocks,
- 4way: 4-way parallel I/O of 4 KiB blocks.

In all tested cases, the default 64 MiB SWIOTLB would be sufficient (but
wasteful). The "default" pair of columns shows performance impact when
booted with 64 MiB SWIOTLB (i.e. current state). The "growing" pair of
columns shows the impact when booted with a 1 MiB initial SWIOTLB, which
grew to 5 MiB at run time. The "var" column in the tables below is the
coefficient of variance over 5 runs of the test, the "diff" column is the
difference in read-write I/O bandwidth (MiB/s). The very first column is
the coefficient of variance in the results of the base unpatched kernel.

First, on an x86 VM against a QEMU virtio SATA driver backed by a RAM-based
block device on the host:

	base	   default	   growing
	var	var	diff	var	diff
small	1.96%	0.47%	-1.5%	0.52%	-2.2%
big	2.03%	1.35%	+0.9%	2.22%	+2.9%
4way	0.80%	0.45%	-0.7%	1.22%	<0.1%

Second, on a Raspberry Pi4 with 8G RAM and a class 10 A1 microSD card:

	base	   default	   growing
	var	var	diff	var	diff
small	1.09%	1.69%	+0.5%	2.14%	-0.2%
big	0.03%	0.28%	-0.5%	0.03%	-0.1%
4way	5.15%	2.39%	+0.2%	0.66%	<0.1%

Third, on a CoCo VM. This was a bigger system, so I also added a 24-thread
parallel I/O test:

	base	   default	   growing
	var	var	diff	var	diff
small	2.41%	6.02%	+1.1%	10.33%	+6.7%
big	9.20%	2.81%	-0.6%	16.84%	-0.2%
4way	0.86%	2.66%	-0.1%	 2.22%	-4.9%
24way	3.19%	6.19%	+4.4%	 4.08%	-5.9%

Note the increased variance of the CoCo VM, although the host was not
otherwise loaded. These are caused by the first run, which includes the
overhead of allocating additional bounce buffers and sharing them with the
hypervisor. The system was not rebooted between successive runs.

Parallel tests suffer from a reduced number of areas in the dynamically
allocated memory pools. This can be improved by allocating a larger pool
from CMA (not implemented in this series yet).

I have no good explanation for the increase in performance of the
24-thread I/O test with the default (non-growing) memory pool. Although the
difference is within variance, it seems to be real. The average bandwidth
is consistently above that of the unpatched kernel.

To sum it up:

- All workloads benefit from reduced memory footprint.
- No performance regressions have been observed with the default size of
  the software IO TLB.
- Most workloads retain their former performance even if the software IO
  TLB grows at run time.

Changelog
=========

Changes from v3:
- Provide swiotlb_is_allocated() instead of extending swiotlb_is_active().
- Do not grow SWIOTLB if its address has been queried (affects Octeon).
- Do not grow SWIOTLB if a remap function is used (affects Xen PV).
- Use dma_mask instead of coherent_dma_mask.
- Replace complex ternary operators with if-else blocks.

Changes from v2:
- Complete rewrite using dynamically allocated memory pools rather
  than a list of individual buffers
- Depend on other SWIOTLB fixes (already sent)
- Fix Xen and MIPS Octeon builds

Changes from RFC:
- Track dynamic buffers per device instead of per swiotlb
- Use a linked list instead of a maple tree
- Move initialization of swiotlb fields of struct device to a
  helper function
- Rename __lookup_dyn_slot() to lookup_dyn_slot_locked()
- Introduce per-device flag if dynamic buffers are in use
- Add one more user of DMA_ATTR_MAY_SLEEP
- Add kernel-doc comments for new (and some old) code
- Properly escape '*' in dma-attributes.rst

Petr Tesarik (8):
  swiotlb: make io_tlb_default_mem local to swiotlb.c
  swiotlb: add documentation and rename swiotlb_do_find_slots()
  swiotlb: separate memory pool data from other allocator data
  swiotlb: add a flag whether a SWIOTLB is allowed to grow
  swiotlb: if swiotlb is full, fall back to a transient memory pool
  swiotlb: determine potential physical address limit
  swiotlb: allocate a new memory pool when existing pools are full
  swiotlb: search the software IO TLB only if a device makes use of it

 arch/arm/xen/mm.c           |   2 +-
 arch/mips/pci/pci-octeon.c  |   2 +-
 arch/x86/kernel/pci-dma.c   |   2 +-
 drivers/base/core.c         |   4 +-
 drivers/xen/swiotlb-xen.c   |   2 +-
 include/linux/device.h      |   8 +-
 include/linux/dma-mapping.h |   2 +
 include/linux/swiotlb.h     | 111 +++++--
 kernel/dma/direct.c         |   2 +-
 kernel/dma/swiotlb.c        | 605 ++++++++++++++++++++++++++++++++----
 10 files changed, 643 insertions(+), 97 deletions(-)

-- 
2.25.1