Merge tag 'net-next-6.3' of git://git.kernel.org/pub/scm/linux/kernel/git/netdev/net-nextgrafted

Pull networking updates from Jakub Kicinski:
 "Core:

   - Add dedicated kmem_cache for typical/small skb->head, avoid having
     to access struct page at kfree time, and improve memory use.

   - Introduce sysctl to set default RPS configuration for new netdevs.

   - Define Netlink protocol specification format which can be used to
     describe messages used by each family and auto-generate parsers.
     Add tools for generating kernel data structures and uAPI headers.

   - Expose all net/core sysctls inside netns.

   - Remove 4s sleep in netpoll if carrier is instantly detected on
     boot.

   - Add configurable limit of MDB entries per port, and port-vlan.

   - Continue populating drop reasons throughout the stack.

   - Retire a handful of legacy Qdiscs and classifiers.

  Protocols:

   - Support IPv4 big TCP (TSO frames larger than 64kB).

   - Add IP_LOCAL_PORT_RANGE socket option, to control local port range
     on socket by socket basis.

   - Track and report in procfs number of MPTCP sockets used.

   - Support mixing IPv4 and IPv6 flows in the in-kernel MPTCP path
     manager.

   - IPv6: don't check net.ipv6.route.max_size and rely on garbage
     collection to free memory (similarly to IPv4).

   - Support Penultimate Segment Pop (PSP) flavor in SRv6 (RFC8986).

   - ICMP: add per-rate limit counters.

   - Add support for user scanning requests in ieee802154.

   - Remove static WEP support.

   - Support minimal Wi-Fi 7 Extremely High Throughput (EHT) rate
     reporting.

   - WiFi 7 EHT channel puncturing support (client & AP).

  BPF:

   - Add a rbtree data structure following the "next-gen data structure"
     precedent set by recently added linked list, that is, by using
     kfunc + kptr instead of adding a new BPF map type.

   - Expose XDP hints via kfuncs with initial support for RX hash and
     timestamp metadata.

   - Add BPF_F_NO_TUNNEL_KEY extension to bpf_skb_set_tunnel_key to
     better support decap on GRE tunnel devices not operating in collect
     metadata.

   - Improve x86 JIT's codegen for PROBE_MEM runtime error checks.

   - Remove the need for trace_printk_lock for bpf_trace_printk and
     bpf_trace_vprintk helpers.

   - Extend libbpf's bpf_tracing.h support for tracing arguments of
     kprobes/uprobes and syscall as a special case.

   - Significantly reduce the search time for module symbols by
     livepatch and BPF.

   - Enable cpumasks to be used as kptrs, which is useful for tracing
     programs tracking which tasks end up running on which CPUs in
     different time intervals.

   - Add support for BPF trampoline on s390x and riscv64.

   - Add capability to export the XDP features supported by the NIC.

   - Add __bpf_kfunc tag for marking kernel functions as kfuncs.

   - Add cgroup.memory=nobpf kernel parameter option to disable BPF
     memory accounting for container environments.

  Netfilter:

   - Remove the CLUSTERIP target. It has been marked as obsolete for
     years, and we still have WARN splats wrt races of the out-of-band
     /proc interface installed by this target.

   - Add 'destroy' commands to nf_tables. They are identical to the
     existing 'delete' commands, but do not return an error if the
     referenced object (set, chain, rule...) did not exist.

  Driver API:

   - Improve cpumask_local_spread() locality to help NICs set the right
     IRQ affinity on AMD platforms.

   - Separate C22 and C45 MDIO bus transactions more clearly.

   - Introduce new DCB table to control DSCP rewrite on egress.

   - Support configuration of Physical Layer Collision Avoidance (PLCA)
     Reconciliation Sublayer (RS) (802.3cg-2019). Modern version of
     shared medium Ethernet.

   - Support for MAC Merge layer (IEEE 802.3-2018 clause 99). Allowing
     preemption of low priority frames by high priority frames.

   - Add support for controlling MACSec offload using netlink SET.

   - Rework devlink instance refcounts to allow registration and
     de-registration under the instance lock. Split the code into
     multiple files, drop some of the unnecessarily granular locks and
     factor out common parts of netlink operation handling.

   - Add TX frame aggregation parameters (for USB drivers).

   - Add a new attr TCA_EXT_WARN_MSG to report TC (offload) warning
     messages with notifications for debug.

   - Allow offloading of UDP NEW connections via act_ct.

   - Add support for per action HW stats in TC.

   - Support hardware miss to TC action (continue processing in SW from
     a specific point in the action chain).

   - Warn if old Wireless Extension user space interface is used with
     modern cfg80211/mac80211 drivers. Do not support Wireless
     Extensions for Wi-Fi 7 devices at all. Everyone should switch to
     using nl80211 interface instead.

   - Improve the CAN bit timing configuration. Use extack to return
     error messages directly to user space, update the SJW handling,
     including the definition of a new default value that will benefit
     CAN-FD controllers, by increasing their oscillator tolerance.

  New hardware / drivers:

   - Ethernet:
      - nVidia BlueField-3 support (control traffic driver)
      - Ethernet support for imx93 SoCs
      - Motorcomm yt8531 gigabit Ethernet PHY
      - onsemi NCN26000 10BASE-T1S PHY (with support for PLCA)
      - Microchip LAN8841 PHY (incl. cable diagnostics and PTP)
      - Amlogic gxl MDIO mux

   - WiFi:
      - RealTek RTL8188EU (rtl8xxxu)
      - Qualcomm Wi-Fi 7 devices (ath12k)

   - CAN:
      - Renesas R-Car V4H

  Drivers:

   - Bluetooth:
      - Set Per Platform Antenna Gain (PPAG) for Intel controllers.

   - Ethernet NICs:
      - Intel (1G, igc):
         - support TSN / Qbv / packet scheduling features of i226 model
      - Intel (100G, ice):
         - use GNSS subsystem instead of TTY
         - multi-buffer XDP support
         - extend support for GPIO pins to E823 devices
      - nVidia/Mellanox:
         - update the shared buffer configuration on PFC commands
         - implement PTP adjphase function for HW offset control
         - TC support for Geneve and GRE with VF tunnel offload
         - more efficient crypto key management method
         - multi-port eswitch support
      - Netronome/Corigine:
         - add DCB IEEE support
         - support IPsec offloading for NFP3800
      - Freescale/NXP (enetc):
         - support XDP_REDIRECT for XDP non-linear buffers
         - improve reconfig, avoid link flap and waiting for idle
         - support MAC Merge layer
      - Other NICs:
         - sfc/ef100: add basic devlink support for ef100
         - ionic: rx_push mode operation (writing descriptors via MMIO)
         - bnxt: use the auxiliary bus abstraction for RDMA
         - r8169: disable ASPM and reset bus in case of tx timeout
         - cpsw: support QSGMII mode for J721e CPSW9G
         - cpts: support pulse-per-second output
         - ngbe: add an mdio bus driver
         - usbnet: optimize usbnet_bh() by avoiding unnecessary queuing
         - r8152: handle devices with FW with NCM support
         - amd-xgbe: support 10Mbps, 2.5GbE speeds and rx-adaptation
         - virtio-net: support multi buffer XDP
         - virtio/vsock: replace virtio_vsock_pkt with sk_buff
         - tsnep: XDP support

   - Ethernet high-speed switches:
      - nVidia/Mellanox (mlxsw):
         - add support for latency TLV (in FW control messages)
      - Microchip (sparx5):
         - separate explicit and implicit traffic forwarding rules, make
           the implicit rules always active
         - add support for egress DSCP rewrite
         - IS0 VCAP support (Ingress Classification)
         - IS2 VCAP filters (protos, L3 addrs, L4 ports, flags, ToS
           etc.)
         - ES2 VCAP support (Egress Access Control)
         - support for Per-Stream Filtering and Policing (802.1Q,
           8.6.5.1)

   - Ethernet embedded switches:
      - Marvell (mv88e6xxx):
         - add MAB (port auth) offload support
         - enable PTP receive for mv88e6390
      - NXP (ocelot):
         - support MAC Merge layer
         - support for the the vsc7512 internal copper phys
      - Microchip:
         - lan9303: convert to PHYLINK
         - lan966x: support TC flower filter statistics
         - lan937x: PTP support for KSZ9563/KSZ8563 and LAN937x
         - lan937x: support Credit Based Shaper configuration
         - ksz9477: support Energy Efficient Ethernet
      - other:
         - qca8k: convert to regmap read/write API, use bulk operations
         - rswitch: Improve TX timestamp accuracy

   - Intel WiFi (iwlwifi):
      - EHT (Wi-Fi 7) rate reporting
      - STEP equalizer support: transfer some STEP (connection to radio
        on platforms with integrated wifi) related parameters from the
        BIOS to the firmware.

   - Qualcomm 802.11ax WiFi (ath11k):
      - IPQ5018 support
      - Fine Timing Measurement (FTM) responder role support
      - channel 177 support

   - MediaTek WiFi (mt76):
      - per-PHY LED support
      - mt7996: EHT (Wi-Fi 7) support
      - Wireless Ethernet Dispatch (WED) reset support
      - switch to using page pool allocator

   - RealTek WiFi (rtw89):
      - support new version of Bluetooth co-existance

   - Mobile:
      - rmnet: support TX aggregation"

* tag 'net-next-6.3' of git://git.kernel.org/pub/scm/linux/kernel/git/netdev/net-next: (1872 commits)
  page_pool: add a comment explaining the fragment counter usage
  net: ethtool: fix __ethtool_dev_mm_supported() implementation
  ethtool: pse-pd: Fix double word in comments
  xsk: add linux/vmalloc.h to xsk.c
  sefltests: netdevsim: wait for devlink instance after netns removal
  selftest: fib_tests: Always cleanup before exit
  net/mlx5e: Align IPsec ASO result memory to be as required by hardware
  net/mlx5e: TC, Set CT miss to the specific ct action instance
  net/mlx5e: Rename CHAIN_TO_REG to MAPPED_OBJ_TO_REG
  net/mlx5: Refactor tc miss handling to a single function
  net/mlx5: Kconfig: Make tc offload depend on tc skb extension
  net/sched: flower: Support hardware miss to tc action
  net/sched: flower: Move filter handle initialization earlier
  net/sched: cls_api: Support hardware miss to tc action
  net/sched: Rename user cookie and act cookie
  sfc: fix builds without CONFIG_RTC_LIB
  sfc: clean up some inconsistent indentings
  net/mlx4_en: Introduce flexible array to silence overflow warning
  net: lan966x: Fix possible deadlock inside PTP
  net/ulp: Remove redundant ->clone() test in inet_clone_ulp().
  ...

1 files changed, 427 insertions, 0 deletions

diff --git a/Documentation/scheduler/sched-energy.rst b/Documentation/scheduler/sched-energy.rst
new file mode 100644
index 000000000..8fbce5e76
--- /dev/null
+++ b/Documentation/scheduler/sched-energy.rst
@@ -0,0 +1,427 @@
+=======================
+Energy Aware Scheduling
+=======================
+
+1. Introduction
+---------------
+
+Energy Aware Scheduling (or EAS) gives the scheduler the ability to predict
+the impact of its decisions on the energy consumed by CPUs. EAS relies on an
+Energy Model (EM) of the CPUs to select an energy efficient CPU for each task,
+with a minimal impact on throughput. This document aims at providing an
+introduction on how EAS works, what are the main design decisions behind it, and
+details what is needed to get it to run.
+
+Before going any further, please note that at the time of writing::
+
+   /!\ EAS does not support platforms with symmetric CPU topologies /!\
+
+EAS operates only on heterogeneous CPU topologies (such as Arm big.LITTLE)
+because this is where the potential for saving energy through scheduling is
+the highest.
+
+The actual EM used by EAS is _not_ maintained by the scheduler, but by a
+dedicated framework. For details about this framework and what it provides,
+please refer to its documentation (see Documentation/power/energy-model.rst).
+
+
+2. Background and Terminology
+-----------------------------
+
+To make it clear from the start:
+ - energy = [joule] (resource like a battery on powered devices)
+ - power = energy/time = [joule/second] = [watt]
+
+The goal of EAS is to minimize energy, while still getting the job done. That
+is, we want to maximize::
+
+	performance [inst/s]
+	--------------------
+	    power [W]
+
+which is equivalent to minimizing::
+
+	energy [J]
+	-----------
+	instruction
+
+while still getting 'good' performance. It is essentially an alternative
+optimization objective to the current performance-only objective for the
+scheduler. This alternative considers two objectives: energy-efficiency and
+performance.
+
+The idea behind introducing an EM is to allow the scheduler to evaluate the
+implications of its decisions rather than blindly applying energy-saving
+techniques that may have positive effects only on some platforms. At the same
+time, the EM must be as simple as possible to minimize the scheduler latency
+impact.
+
+In short, EAS changes the way CFS tasks are assigned to CPUs. When it is time
+for the scheduler to decide where a task should run (during wake-up), the EM
+is used to break the tie between several good CPU candidates and pick the one
+that is predicted to yield the best energy consumption without harming the
+system's throughput. The predictions made by EAS rely on specific elements of
+knowledge about the platform's topology, which include the 'capacity' of CPUs,
+and their respective energy costs.
+
+
+3. Topology information
+-----------------------
+
+EAS (as well as the rest of the scheduler) uses the notion of 'capacity' to
+differentiate CPUs with different computing throughput. The 'capacity' of a CPU
+represents the amount of work it can absorb when running at its highest
+frequency compared to the most capable CPU of the system. Capacity values are
+normalized in a 1024 range, and are comparable with the utilization signals of
+tasks and CPUs computed by the Per-Entity Load Tracking (PELT) mechanism. Thanks
+to capacity and utilization values, EAS is able to estimate how big/busy a
+task/CPU is, and to take this into consideration when evaluating performance vs
+energy trade-offs. The capacity of CPUs is provided via arch-specific code
+through the arch_scale_cpu_capacity() callback.
+
+The rest of platform knowledge used by EAS is directly read from the Energy
+Model (EM) framework. The EM of a platform is composed of a power cost table
+per 'performance domain' in the system (see Documentation/power/energy-model.rst
+for futher details about performance domains).
+
+The scheduler manages references to the EM objects in the topology code when the
+scheduling domains are built, or re-built. For each root domain (rd), the
+scheduler maintains a singly linked list of all performance domains intersecting
+the current rd->span. Each node in the list contains a pointer to a struct
+em_perf_domain as provided by the EM framework.
+
+The lists are attached to the root domains in order to cope with exclusive
+cpuset configurations. Since the boundaries of exclusive cpusets do not
+necessarily match those of performance domains, the lists of different root
+domains can contain duplicate elements.
+
+Example 1.
+    Let us consider a platform with 12 CPUs, split in 3 performance domains
+    (pd0, pd4 and pd8), organized as follows::
+
+	          CPUs:   0 1 2 3 4 5 6 7 8 9 10 11
+	          PDs:   |--pd0--|--pd4--|---pd8---|
+	          RDs:   |----rd1----|-----rd2-----|
+
+    Now, consider that userspace decided to split the system with two
+    exclusive cpusets, hence creating two independent root domains, each
+    containing 6 CPUs. The two root domains are denoted rd1 and rd2 in the
+    above figure. Since pd4 intersects with both rd1 and rd2, it will be
+    present in the linked list '->pd' attached to each of them:
+
+       * rd1->pd: pd0 -> pd4
+       * rd2->pd: pd4 -> pd8
+
+    Please note that the scheduler will create two duplicate list nodes for
+    pd4 (one for each list). However, both just hold a pointer to the same
+    shared data structure of the EM framework.
+
+Since the access to these lists can happen concurrently with hotplug and other
+things, they are protected by RCU, like the rest of topology structures
+manipulated by the scheduler.
+
+EAS also maintains a static key (sched_energy_present) which is enabled when at
+least one root domain meets all conditions for EAS to start. Those conditions
+are summarized in Section 6.
+
+
+4. Energy-Aware task placement
+------------------------------
+
+EAS overrides the CFS task wake-up balancing code. It uses the EM of the
+platform and the PELT signals to choose an energy-efficient target CPU during
+wake-up balance. When EAS is enabled, select_task_rq_fair() calls
+find_energy_efficient_cpu() to do the placement decision. This function looks
+for the CPU with the highest spare capacity (CPU capacity - CPU utilization) in
+each performance domain since it is the one which will allow us to keep the
+frequency the lowest. Then, the function checks if placing the task there could
+save energy compared to leaving it on prev_cpu, i.e. the CPU where the task ran
+in its previous activation.
+
+find_energy_efficient_cpu() uses compute_energy() to estimate what will be the
+energy consumed by the system if the waking task was migrated. compute_energy()
+looks at the current utilization landscape of the CPUs and adjusts it to
+'simulate' the task migration. The EM framework provides the em_pd_energy() API
+which computes the expected energy consumption of each performance domain for
+the given utilization landscape.
+
+An example of energy-optimized task placement decision is detailed below.
+
+Example 2.
+    Let us consider a (fake) platform with 2 independent performance domains
+    composed of two CPUs each. CPU0 and CPU1 are little CPUs; CPU2 and CPU3
+    are big.
+
+    The scheduler must decide where to place a task P whose util_avg = 200
+    and prev_cpu = 0.
+
+    The current utilization landscape of the CPUs is depicted on the graph
+    below. CPUs 0-3 have a util_avg of 400, 100, 600 and 500 respectively
+    Each performance domain has three Operating Performance Points (OPPs).
+    The CPU capacity and power cost associated with each OPP is listed in
+    the Energy Model table. The util_avg of P is shown on the figures
+    below as 'PP'::
+
+     CPU util.
+      1024                 - - - - - - -              Energy Model
+                                               +-----------+-------------+
+                                               |  Little   |     Big     |
+       768                 =============       +-----+-----+------+------+
+                                               | Cap | Pwr | Cap  | Pwr  |
+                                               +-----+-----+------+------+
+       512  ===========    - ##- - - - -       | 170 | 50  | 512  | 400  |
+                             ##     ##         | 341 | 150 | 768  | 800  |
+       341  -PP - - - -      ##     ##         | 512 | 300 | 1024 | 1700 |
+             PP              ##     ##         +-----+-----+------+------+
+       170  -## - - - -      ##     ##
+             ##     ##       ##     ##
+           ------------    -------------
+            CPU0   CPU1     CPU2   CPU3
+
+      Current OPP: =====       Other OPP: - - -     util_avg (100 each): ##
+
+
+    find_energy_efficient_cpu() will first look for the CPUs with the
+    maximum spare capacity in the two performance domains. In this example,
+    CPU1 and CPU3. Then it will estimate the energy of the system if P was
+    placed on either of them, and check if that would save some energy
+    compared to leaving P on CPU0. EAS assumes that OPPs follow utilization
+    (which is coherent with the behaviour of the schedutil CPUFreq
+    governor, see Section 6. for more details on this topic).
+
+    **Case 1. P is migrated to CPU1**::
+
+      1024                 - - - - - - -
+
+                                            Energy calculation:
+       768                 =============     * CPU0: 200 / 341 * 150 = 88
+                                             * CPU1: 300 / 341 * 150 = 131
+                                             * CPU2: 600 / 768 * 800 = 625
+       512  - - - - - -    - ##- - - - -     * CPU3: 500 / 768 * 800 = 520
+                             ##     ##          => total_energy = 1364
+       341  ===========      ##     ##
+                    PP       ##     ##
+       170  -## - - PP-      ##     ##
+             ##     ##       ##     ##
+           ------------    -------------
+            CPU0   CPU1     CPU2   CPU3
+
+
+    **Case 2. P is migrated to CPU3**::
+
+      1024                 - - - - - - -
+
+                                            Energy calculation:
+       768                 =============     * CPU0: 200 / 341 * 150 = 88
+                                             * CPU1: 100 / 341 * 150 = 43
+                                    PP       * CPU2: 600 / 768 * 800 = 625
+       512  - - - - - -    - ##- - -PP -     * CPU3: 700 / 768 * 800 = 729
+                             ##     ##          => total_energy = 1485
+       341  ===========      ##     ##
+                             ##     ##
+       170  -## - - - -      ##     ##
+             ##     ##       ##     ##
+           ------------    -------------
+            CPU0   CPU1     CPU2   CPU3
+
+
+    **Case 3. P stays on prev_cpu / CPU 0**::
+
+      1024                 - - - - - - -
+
+                                            Energy calculation:
+       768                 =============     * CPU0: 400 / 512 * 300 = 234
+                                             * CPU1: 100 / 512 * 300 = 58
+                                             * CPU2: 600 / 768 * 800 = 625
+       512  ===========    - ##- - - - -     * CPU3: 500 / 768 * 800 = 520
+                             ##     ##          => total_energy = 1437
+       341  -PP - - - -      ##     ##
+             PP              ##     ##
+       170  -## - - - -      ##     ##
+             ##     ##       ##     ##
+           ------------    -------------
+            CPU0   CPU1     CPU2   CPU3
+
+
+    From these calculations, the Case 1 has the lowest total energy. So CPU 1
+    is be the best candidate from an energy-efficiency standpoint.
+
+Big CPUs are generally more power hungry than the little ones and are thus used
+mainly when a task doesn't fit the littles. However, little CPUs aren't always
+necessarily more energy-efficient than big CPUs. For some systems, the high OPPs
+of the little CPUs can be less energy-efficient than the lowest OPPs of the
+bigs, for example. So, if the little CPUs happen to have enough utilization at
+a specific point in time, a small task waking up at that moment could be better
+of executing on the big side in order to save energy, even though it would fit
+on the little side.
+
+And even in the case where all OPPs of the big CPUs are less energy-efficient
+than those of the little, using the big CPUs for a small task might still, under
+specific conditions, save energy. Indeed, placing a task on a little CPU can
+result in raising the OPP of the entire performance domain, and that will
+increase the cost of the tasks already running there. If the waking task is
+placed on a big CPU, its own execution cost might be higher than if it was
+running on a little, but it won't impact the other tasks of the little CPUs
+which will keep running at a lower OPP. So, when considering the total energy
+consumed by CPUs, the extra cost of running that one task on a big core can be
+smaller than the cost of raising the OPP on the little CPUs for all the other
+tasks.
+
+The examples above would be nearly impossible to get right in a generic way, and
+for all platforms, without knowing the cost of running at different OPPs on all
+CPUs of the system. Thanks to its EM-based design, EAS should cope with them
+correctly without too many troubles. However, in order to ensure a minimal
+impact on throughput for high-utilization scenarios, EAS also implements another
+mechanism called 'over-utilization'.
+
+
+5. Over-utilization
+-------------------
+
+From a general standpoint, the use-cases where EAS can help the most are those
+involving a light/medium CPU utilization. Whenever long CPU-bound tasks are
+being run, they will require all of the available CPU capacity, and there isn't
+much that can be done by the scheduler to save energy without severly harming
+throughput. In order to avoid hurting performance with EAS, CPUs are flagged as
+'over-utilized' as soon as they are used at more than 80% of their compute
+capacity. As long as no CPUs are over-utilized in a root domain, load balancing
+is disabled and EAS overridess the wake-up balancing code. EAS is likely to load
+the most energy efficient CPUs of the system more than the others if that can be
+done without harming throughput. So, the load-balancer is disabled to prevent
+it from breaking the energy-efficient task placement found by EAS. It is safe to
+do so when the system isn't overutilized since being below the 80% tipping point
+implies that:
+
+    a. there is some idle time on all CPUs, so the utilization signals used by
+       EAS are likely to accurately represent the 'size' of the various tasks
+       in the system;
+    b. all tasks should already be provided with enough CPU capacity,
+       regardless of their nice values;
+    c. since there is spare capacity all tasks must be blocking/sleeping
+       regularly and balancing at wake-up is sufficient.
+
+As soon as one CPU goes above the 80% tipping point, at least one of the three
+assumptions above becomes incorrect. In this scenario, the 'overutilized' flag
+is raised for the entire root domain, EAS is disabled, and the load-balancer is
+re-enabled. By doing so, the scheduler falls back onto load-based algorithms for
+wake-up and load balance under CPU-bound conditions. This provides a better
+respect of the nice values of tasks.
+
+Since the notion of overutilization largely relies on detecting whether or not
+there is some idle time in the system, the CPU capacity 'stolen' by higher
+(than CFS) scheduling classes (as well as IRQ) must be taken into account. As
+such, the detection of overutilization accounts for the capacity used not only
+by CFS tasks, but also by the other scheduling classes and IRQ.
+
+
+6. Dependencies and requirements for EAS
+----------------------------------------
+
+Energy Aware Scheduling depends on the CPUs of the system having specific
+hardware properties and on other features of the kernel being enabled. This
+section lists these dependencies and provides hints as to how they can be met.
+
+
+6.1 - Asymmetric CPU topology
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+
+As mentioned in the introduction, EAS is only supported on platforms with
+asymmetric CPU topologies for now. This requirement is checked at run-time by
+looking for the presence of the SD_ASYM_CPUCAPACITY_FULL flag when the scheduling
+domains are built.
+
+See Documentation/scheduler/sched-capacity.rst for requirements to be met for this
+flag to be set in the sched_domain hierarchy.
+
+Please note that EAS is not fundamentally incompatible with SMP, but no
+significant savings on SMP platforms have been observed yet. This restriction
+could be amended in the future if proven otherwise.
+
+
+6.2 - Energy Model presence
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+EAS uses the EM of a platform to estimate the impact of scheduling decisions on
+energy. So, your platform must provide power cost tables to the EM framework in
+order to make EAS start. To do so, please refer to documentation of the
+independent EM framework in Documentation/power/energy-model.rst.
+
+Please also note that the scheduling domains need to be re-built after the
+EM has been registered in order to start EAS.
+
+EAS uses the EM to make a forecasting decision on energy usage and thus it is
+more focused on the difference when checking possible options for task
+placement. For EAS it doesn't matter whether the EM power values are expressed
+in milli-Watts or in an 'abstract scale'.
+
+
+6.3 - Energy Model complexity
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The task wake-up path is very latency-sensitive. When the EM of a platform is
+too complex (too many CPUs, too many performance domains, too many performance
+states, ...), the cost of using it in the wake-up path can become prohibitive.
+The energy-aware wake-up algorithm has a complexity of:
+
+	C = Nd * (Nc + Ns)
+
+with: Nd the number of performance domains; Nc the number of CPUs; and Ns the
+total number of OPPs (ex: for two perf. domains with 4 OPPs each, Ns = 8).
+
+A complexity check is performed at the root domain level, when scheduling
+domains are built. EAS will not start on a root domain if its C happens to be
+higher than the completely arbitrary EM_MAX_COMPLEXITY threshold (2048 at the
+time of writing).
+
+If you really want to use EAS but the complexity of your platform's Energy
+Model is too high to be used with a single root domain, you're left with only
+two possible options:
+
+    1. split your system into separate, smaller, root domains using exclusive
+       cpusets and enable EAS locally on each of them. This option has the
+       benefit to work out of the box but the drawback of preventing load
+       balance between root domains, which can result in an unbalanced system
+       overall;
+    2. submit patches to reduce the complexity of the EAS wake-up algorithm,
+       hence enabling it to cope with larger EMs in reasonable time.
+
+
+6.4 - Schedutil governor
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+EAS tries to predict at which OPP will the CPUs be running in the close future
+in order to estimate their energy consumption. To do so, it is assumed that OPPs
+of CPUs follow their utilization.
+
+Although it is very difficult to provide hard guarantees regarding the accuracy
+of this assumption in practice (because the hardware might not do what it is
+told to do, for example), schedutil as opposed to other CPUFreq governors at
+least _requests_ frequencies calculated using the utilization signals.
+Consequently, the only sane governor to use together with EAS is schedutil,
+because it is the only one providing some degree of consistency between
+frequency requests and energy predictions.
+
+Using EAS with any other governor than schedutil is not supported.
+
+
+6.5 Scale-invariant utilization signals
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+In order to make accurate prediction across CPUs and for all performance
+states, EAS needs frequency-invariant and CPU-invariant PELT signals. These can
+be obtained using the architecture-defined arch_scale{cpu,freq}_capacity()
+callbacks.
+
+Using EAS on a platform that doesn't implement these two callbacks is not
+supported.
+
+
+6.6 Multithreading (SMT)
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+EAS in its current form is SMT unaware and is not able to leverage
+multithreaded hardware to save energy. EAS considers threads as independent
+CPUs, which can actually be counter-productive for both performance and energy.
+
+EAS on SMT is not supported.