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Sometimes the kernel doesn't take full advantage of system memory bandwidth, leading to a single CPU spending excessive time in initialization paths where the data scales with memory size. Multithreading naturally addresses this problem. Extend padata, a framework that handles many parallel yet singlethreaded jobs, to also handle multithreaded jobs by adding support for splitting up the work evenly, specifying a minimum amount of work that's appropriate for one helper thread to do, load balancing between helpers, and coordinating them. This is inspired by work from Pavel Tatashin and Steve Sistare. Signed-off-by: Daniel Jordan <daniel.m.jordan@oracle.com> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Tested-by: Josh Triplett <josh@joshtriplett.org> Cc: Alexander Duyck <alexander.h.duyck@linux.intel.com> Cc: Alex Williamson <alex.williamson@redhat.com> Cc: Dan Williams <dan.j.williams@intel.com> Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: David Hildenbrand <david@redhat.com> Cc: Herbert Xu <herbert@gondor.apana.org.au> Cc: Jason Gunthorpe <jgg@ziepe.ca> Cc: Jonathan Corbet <corbet@lwn.net> Cc: Kirill Tkhai <ktkhai@virtuozzo.com> Cc: Michal Hocko <mhocko@kernel.org> Cc: Pavel Machek <pavel@ucw.cz> Cc: Pavel Tatashin <pasha.tatashin@soleen.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Randy Dunlap <rdunlap@infradead.org> Cc: Robert Elliott <elliott@hpe.com> Cc: Shile Zhang <shile.zhang@linux.alibaba.com> Cc: Steffen Klassert <steffen.klassert@secunet.com> Cc: Steven Sistare <steven.sistare@oracle.com> Cc: Tejun Heo <tj@kernel.org> Cc: Zi Yan <ziy@nvidia.com> Link: http://lkml.kernel.org/r/20200527173608.2885243-5-daniel.m.jordan@oracle.com Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>
210 lines
6.7 KiB
C
210 lines
6.7 KiB
C
/* SPDX-License-Identifier: GPL-2.0-only */
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/*
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* padata.h - header for the padata parallelization interface
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*
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* Copyright (C) 2008, 2009 secunet Security Networks AG
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* Copyright (C) 2008, 2009 Steffen Klassert <steffen.klassert@secunet.com>
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*
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* Copyright (c) 2020 Oracle and/or its affiliates.
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* Author: Daniel Jordan <daniel.m.jordan@oracle.com>
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*/
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#ifndef PADATA_H
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#define PADATA_H
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#include <linux/compiler_types.h>
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#include <linux/workqueue.h>
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#include <linux/spinlock.h>
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#include <linux/list.h>
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#include <linux/kobject.h>
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#define PADATA_CPU_SERIAL 0x01
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#define PADATA_CPU_PARALLEL 0x02
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/**
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* struct padata_priv - Represents one job
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*
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* @list: List entry, to attach to the padata lists.
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* @pd: Pointer to the internal control structure.
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* @cb_cpu: Callback cpu for serializatioon.
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* @seq_nr: Sequence number of the parallelized data object.
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* @info: Used to pass information from the parallel to the serial function.
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* @parallel: Parallel execution function.
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* @serial: Serial complete function.
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*/
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struct padata_priv {
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struct list_head list;
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struct parallel_data *pd;
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int cb_cpu;
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unsigned int seq_nr;
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int info;
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void (*parallel)(struct padata_priv *padata);
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void (*serial)(struct padata_priv *padata);
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};
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/**
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* struct padata_list - one per work type per CPU
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*
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* @list: List head.
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* @lock: List lock.
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*/
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struct padata_list {
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struct list_head list;
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spinlock_t lock;
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};
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/**
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* struct padata_serial_queue - The percpu padata serial queue
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*
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* @serial: List to wait for serialization after reordering.
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* @work: work struct for serialization.
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* @pd: Backpointer to the internal control structure.
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*/
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struct padata_serial_queue {
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struct padata_list serial;
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struct work_struct work;
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struct parallel_data *pd;
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};
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/**
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* struct padata_parallel_queue - The percpu padata parallel queue
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*
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* @reorder: List to wait for reordering after parallel processing.
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* @num_obj: Number of objects that are processed by this cpu.
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*/
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struct padata_parallel_queue {
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struct padata_list reorder;
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atomic_t num_obj;
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};
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/**
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* struct padata_cpumask - The cpumasks for the parallel/serial workers
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*
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* @pcpu: cpumask for the parallel workers.
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* @cbcpu: cpumask for the serial (callback) workers.
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*/
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struct padata_cpumask {
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cpumask_var_t pcpu;
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cpumask_var_t cbcpu;
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};
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/**
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* struct parallel_data - Internal control structure, covers everything
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* that depends on the cpumask in use.
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*
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* @ps: padata_shell object.
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* @pqueue: percpu padata queues used for parallelization.
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* @squeue: percpu padata queues used for serialuzation.
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* @refcnt: Number of objects holding a reference on this parallel_data.
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* @seq_nr: Sequence number of the parallelized data object.
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* @processed: Number of already processed objects.
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* @cpu: Next CPU to be processed.
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* @cpumask: The cpumasks in use for parallel and serial workers.
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* @reorder_work: work struct for reordering.
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* @lock: Reorder lock.
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*/
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struct parallel_data {
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struct padata_shell *ps;
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struct padata_parallel_queue __percpu *pqueue;
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struct padata_serial_queue __percpu *squeue;
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atomic_t refcnt;
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unsigned int seq_nr;
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unsigned int processed;
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int cpu;
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struct padata_cpumask cpumask;
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struct work_struct reorder_work;
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spinlock_t ____cacheline_aligned lock;
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};
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/**
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* struct padata_shell - Wrapper around struct parallel_data, its
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* purpose is to allow the underlying control structure to be replaced
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* on the fly using RCU.
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*
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* @pinst: padat instance.
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* @pd: Actual parallel_data structure which may be substituted on the fly.
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* @opd: Pointer to old pd to be freed by padata_replace.
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* @list: List entry in padata_instance list.
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*/
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struct padata_shell {
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struct padata_instance *pinst;
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struct parallel_data __rcu *pd;
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struct parallel_data *opd;
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struct list_head list;
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};
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/**
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* struct padata_mt_job - represents one multithreaded job
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*
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* @thread_fn: Called for each chunk of work that a padata thread does.
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* @fn_arg: The thread function argument.
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* @start: The start of the job (units are job-specific).
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* @size: size of this node's work (units are job-specific).
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* @align: Ranges passed to the thread function fall on this boundary, with the
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* possible exceptions of the beginning and end of the job.
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* @min_chunk: The minimum chunk size in job-specific units. This allows
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* the client to communicate the minimum amount of work that's
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* appropriate for one worker thread to do at once.
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* @max_threads: Max threads to use for the job, actual number may be less
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* depending on task size and minimum chunk size.
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*/
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struct padata_mt_job {
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void (*thread_fn)(unsigned long start, unsigned long end, void *arg);
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void *fn_arg;
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unsigned long start;
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unsigned long size;
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unsigned long align;
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unsigned long min_chunk;
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int max_threads;
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};
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/**
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* struct padata_instance - The overall control structure.
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*
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* @cpu_online_node: Linkage for CPU online callback.
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* @cpu_dead_node: Linkage for CPU offline callback.
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* @parallel_wq: The workqueue used for parallel work.
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* @serial_wq: The workqueue used for serial work.
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* @pslist: List of padata_shell objects attached to this instance.
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* @cpumask: User supplied cpumasks for parallel and serial works.
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* @rcpumask: Actual cpumasks based on user cpumask and cpu_online_mask.
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* @kobj: padata instance kernel object.
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* @lock: padata instance lock.
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* @flags: padata flags.
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*/
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struct padata_instance {
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struct hlist_node cpu_online_node;
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struct hlist_node cpu_dead_node;
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struct workqueue_struct *parallel_wq;
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struct workqueue_struct *serial_wq;
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struct list_head pslist;
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struct padata_cpumask cpumask;
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struct padata_cpumask rcpumask;
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struct kobject kobj;
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struct mutex lock;
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u8 flags;
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#define PADATA_INIT 1
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#define PADATA_RESET 2
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#define PADATA_INVALID 4
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};
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#ifdef CONFIG_PADATA
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extern void __init padata_init(void);
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#else
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static inline void __init padata_init(void) {}
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#endif
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extern struct padata_instance *padata_alloc_possible(const char *name);
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extern void padata_free(struct padata_instance *pinst);
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extern struct padata_shell *padata_alloc_shell(struct padata_instance *pinst);
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extern void padata_free_shell(struct padata_shell *ps);
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extern int padata_do_parallel(struct padata_shell *ps,
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struct padata_priv *padata, int *cb_cpu);
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extern void padata_do_serial(struct padata_priv *padata);
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extern void __init padata_do_multithreaded(struct padata_mt_job *job);
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extern int padata_set_cpumask(struct padata_instance *pinst, int cpumask_type,
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cpumask_var_t cpumask);
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extern int padata_start(struct padata_instance *pinst);
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extern void padata_stop(struct padata_instance *pinst);
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#endif
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