1eeb4562a7
New functionality: - Preserves existing scalar implementation. - Adds AVX2 optimized Fletcher-4 computation. - Fastest routines selected on module load (benchmark). - Test case for Fletcher-4 added to ztest. New zcommon module parameters: - zfs_fletcher_4_impl (str): selects the implementation to use. "fastest" - use the fastest version available "cycle" - cycle trough all available impl for ztest "scalar" - use the original version "avx2" - new AVX2 implementation if available Performance comparison (Intel i7 CPU, 1MB data buffers): - Scalar: 4216 MB/s - AVX2: 14499 MB/s See contents of `/sys/module/zcommon/parameters/zfs_fletcher_4_impl` to get list of supported values. If an implementation is not supported on the system, it will not be shown. Currently selected option is enclosed in `[]`. Signed-off-by: Jinshan Xiong <jinshan.xiong@intel.com> Signed-off-by: Andreas Dilger <andreas.dilger@intel.com> Signed-off-by: Brian Behlendorf <behlendorf1@llnl.gov> Closes #4330
495 lines
13 KiB
C
495 lines
13 KiB
C
/*
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* CDDL HEADER START
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*
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* The contents of this file are subject to the terms of the
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* Common Development and Distribution License (the "License").
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* You may not use this file except in compliance with the License.
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*
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* You can obtain a copy of the license at usr/src/OPENSOLARIS.LICENSE
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* or http://www.opensolaris.org/os/licensing.
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* See the License for the specific language governing permissions
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* and limitations under the License.
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*
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* When distributing Covered Code, include this CDDL HEADER in each
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* file and include the License file at usr/src/OPENSOLARIS.LICENSE.
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* If applicable, add the following below this CDDL HEADER, with the
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* fields enclosed by brackets "[]" replaced with your own identifying
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* information: Portions Copyright [yyyy] [name of copyright owner]
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*
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* CDDL HEADER END
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*/
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/*
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* Copyright 2009 Sun Microsystems, Inc. All rights reserved.
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* Use is subject to license terms.
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*/
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/*
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* Fletcher Checksums
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* ------------------
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*
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* ZFS's 2nd and 4th order Fletcher checksums are defined by the following
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* recurrence relations:
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*
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* a = a + f
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* i i-1 i-1
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*
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* b = b + a
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* i i-1 i
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*
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* c = c + b (fletcher-4 only)
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* i i-1 i
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*
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* d = d + c (fletcher-4 only)
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* i i-1 i
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*
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* Where
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* a_0 = b_0 = c_0 = d_0 = 0
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* and
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* f_0 .. f_(n-1) are the input data.
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*
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* Using standard techniques, these translate into the following series:
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*
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* __n_ __n_
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* \ | \ |
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* a = > f b = > i * f
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* n /___| n - i n /___| n - i
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* i = 1 i = 1
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*
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*
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* __n_ __n_
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* \ | i*(i+1) \ | i*(i+1)*(i+2)
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* c = > ------- f d = > ------------- f
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* n /___| 2 n - i n /___| 6 n - i
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* i = 1 i = 1
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*
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* For fletcher-2, the f_is are 64-bit, and [ab]_i are 64-bit accumulators.
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* Since the additions are done mod (2^64), errors in the high bits may not
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* be noticed. For this reason, fletcher-2 is deprecated.
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*
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* For fletcher-4, the f_is are 32-bit, and [abcd]_i are 64-bit accumulators.
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* A conservative estimate of how big the buffer can get before we overflow
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* can be estimated using f_i = 0xffffffff for all i:
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*
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* % bc
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* f=2^32-1;d=0; for (i = 1; d<2^64; i++) { d += f*i*(i+1)*(i+2)/6 }; (i-1)*4
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* 2264
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* quit
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* %
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*
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* So blocks of up to 2k will not overflow. Our largest block size is
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* 128k, which has 32k 4-byte words, so we can compute the largest possible
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* accumulators, then divide by 2^64 to figure the max amount of overflow:
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*
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* % bc
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* a=b=c=d=0; f=2^32-1; for (i=1; i<=32*1024; i++) { a+=f; b+=a; c+=b; d+=c }
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* a/2^64;b/2^64;c/2^64;d/2^64
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* 0
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* 0
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* 1365
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* 11186858
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* quit
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* %
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*
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* So a and b cannot overflow. To make sure each bit of input has some
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* effect on the contents of c and d, we can look at what the factors of
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* the coefficients in the equations for c_n and d_n are. The number of 2s
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* in the factors determines the lowest set bit in the multiplier. Running
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* through the cases for n*(n+1)/2 reveals that the highest power of 2 is
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* 2^14, and for n*(n+1)*(n+2)/6 it is 2^15. So while some data may overflow
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* the 64-bit accumulators, every bit of every f_i effects every accumulator,
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* even for 128k blocks.
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*
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* If we wanted to make a stronger version of fletcher4 (fletcher4c?),
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* we could do our calculations mod (2^32 - 1) by adding in the carries
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* periodically, and store the number of carries in the top 32-bits.
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*
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* --------------------
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* Checksum Performance
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* --------------------
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*
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* There are two interesting components to checksum performance: cached and
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* uncached performance. With cached data, fletcher-2 is about four times
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* faster than fletcher-4. With uncached data, the performance difference is
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* negligible, since the cost of a cache fill dominates the processing time.
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* Even though fletcher-4 is slower than fletcher-2, it is still a pretty
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* efficient pass over the data.
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*
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* In normal operation, the data which is being checksummed is in a buffer
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* which has been filled either by:
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*
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* 1. a compression step, which will be mostly cached, or
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* 2. a bcopy() or copyin(), which will be uncached (because the
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* copy is cache-bypassing).
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*
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* For both cached and uncached data, both fletcher checksums are much faster
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* than sha-256, and slower than 'off', which doesn't touch the data at all.
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*/
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#include <sys/types.h>
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#include <sys/sysmacros.h>
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#include <sys/byteorder.h>
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#include <sys/spa.h>
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#include <sys/zfs_context.h>
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#include <zfs_fletcher.h>
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static void fletcher_4_scalar_init(zio_cksum_t *zcp);
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static void fletcher_4_scalar(const void *buf, uint64_t size,
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zio_cksum_t *zcp);
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static void fletcher_4_scalar_byteswap(const void *buf, uint64_t size,
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zio_cksum_t *zcp);
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static boolean_t fletcher_4_scalar_valid(void);
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static const fletcher_4_ops_t fletcher_4_scalar_ops = {
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.init = fletcher_4_scalar_init,
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.compute = fletcher_4_scalar,
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.compute_byteswap = fletcher_4_scalar_byteswap,
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.valid = fletcher_4_scalar_valid,
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.name = "scalar"
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};
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static const fletcher_4_ops_t *fletcher_4_algos[] = {
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&fletcher_4_scalar_ops,
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#if defined(HAVE_AVX) && defined(HAVE_AVX2)
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&fletcher_4_avx2_ops,
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#endif
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};
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static enum fletcher_selector {
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FLETCHER_FASTEST = 0,
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FLETCHER_SCALAR,
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#if defined(HAVE_AVX) && defined(HAVE_AVX2)
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FLETCHER_AVX2,
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#endif
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FLETCHER_CYCLE
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} fletcher_4_impl_chosen = FLETCHER_SCALAR;
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static struct fletcher_4_impl_selector {
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const char *fis_name;
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const fletcher_4_ops_t *fis_ops;
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} fletcher_4_impl_selectors[] = {
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[ FLETCHER_FASTEST ] = { "fastest", NULL },
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[ FLETCHER_SCALAR ] = { "scalar", &fletcher_4_scalar_ops },
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#if defined(HAVE_AVX) && defined(HAVE_AVX2)
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[ FLETCHER_AVX2 ] = { "avx2", &fletcher_4_avx2_ops },
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#endif
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#if !defined(_KERNEL)
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[ FLETCHER_CYCLE ] = { "cycle", &fletcher_4_scalar_ops }
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#endif
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};
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static kmutex_t fletcher_4_impl_lock;
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static kstat_t *fletcher_4_kstat;
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static kstat_named_t fletcher_4_kstat_data[ARRAY_SIZE(fletcher_4_algos)];
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void
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fletcher_2_native(const void *buf, uint64_t size, zio_cksum_t *zcp)
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{
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const uint64_t *ip = buf;
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const uint64_t *ipend = ip + (size / sizeof (uint64_t));
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uint64_t a0, b0, a1, b1;
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for (a0 = b0 = a1 = b1 = 0; ip < ipend; ip += 2) {
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a0 += ip[0];
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a1 += ip[1];
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b0 += a0;
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b1 += a1;
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}
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ZIO_SET_CHECKSUM(zcp, a0, a1, b0, b1);
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}
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void
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fletcher_2_byteswap(const void *buf, uint64_t size, zio_cksum_t *zcp)
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{
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const uint64_t *ip = buf;
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const uint64_t *ipend = ip + (size / sizeof (uint64_t));
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uint64_t a0, b0, a1, b1;
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for (a0 = b0 = a1 = b1 = 0; ip < ipend; ip += 2) {
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a0 += BSWAP_64(ip[0]);
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a1 += BSWAP_64(ip[1]);
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b0 += a0;
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b1 += a1;
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}
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ZIO_SET_CHECKSUM(zcp, a0, a1, b0, b1);
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}
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static void fletcher_4_scalar_init(zio_cksum_t *zcp)
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{
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ZIO_SET_CHECKSUM(zcp, 0, 0, 0, 0);
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}
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static void
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fletcher_4_scalar(const void *buf, uint64_t size, zio_cksum_t *zcp)
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{
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const uint32_t *ip = buf;
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const uint32_t *ipend = ip + (size / sizeof (uint32_t));
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uint64_t a, b, c, d;
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a = zcp->zc_word[0];
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b = zcp->zc_word[1];
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c = zcp->zc_word[2];
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d = zcp->zc_word[3];
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for (; ip < ipend; ip++) {
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a += ip[0];
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b += a;
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c += b;
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d += c;
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}
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ZIO_SET_CHECKSUM(zcp, a, b, c, d);
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}
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static void
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fletcher_4_scalar_byteswap(const void *buf, uint64_t size, zio_cksum_t *zcp)
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{
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const uint32_t *ip = buf;
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const uint32_t *ipend = ip + (size / sizeof (uint32_t));
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uint64_t a, b, c, d;
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a = zcp->zc_word[0];
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b = zcp->zc_word[1];
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c = zcp->zc_word[2];
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d = zcp->zc_word[3];
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for (; ip < ipend; ip++) {
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a += BSWAP_32(ip[0]);
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b += a;
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c += b;
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d += c;
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}
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ZIO_SET_CHECKSUM(zcp, a, b, c, d);
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}
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static boolean_t
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fletcher_4_scalar_valid(void)
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{
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return (B_TRUE);
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}
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int
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fletcher_4_impl_set(const char *val)
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{
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const fletcher_4_ops_t *ops;
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enum fletcher_selector idx;
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size_t val_len;
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unsigned i;
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val_len = strlen(val);
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while ((val_len > 0) && !!isspace(val[val_len-1])) /* trim '\n' */
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val_len--;
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for (i = 0; i < ARRAY_SIZE(fletcher_4_impl_selectors); i++) {
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const char *name = fletcher_4_impl_selectors[i].fis_name;
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if (val_len == strlen(name) &&
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strncmp(val, name, val_len) == 0) {
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idx = i;
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break;
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}
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}
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if (i >= ARRAY_SIZE(fletcher_4_impl_selectors))
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return (-EINVAL);
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ops = fletcher_4_impl_selectors[idx].fis_ops;
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if (ops == NULL || !ops->valid())
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return (-ENOTSUP);
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mutex_enter(&fletcher_4_impl_lock);
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if (fletcher_4_impl_chosen != idx)
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fletcher_4_impl_chosen = idx;
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mutex_exit(&fletcher_4_impl_lock);
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return (0);
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}
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static inline const fletcher_4_ops_t *
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fletcher_4_impl_get(void)
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{
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#if !defined(_KERNEL)
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if (fletcher_4_impl_chosen == FLETCHER_CYCLE) {
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static volatile unsigned int cycle_count = 0;
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const fletcher_4_ops_t *ops = NULL;
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unsigned int index;
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while (1) {
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index = atomic_inc_uint_nv(&cycle_count);
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ops = fletcher_4_algos[
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index % ARRAY_SIZE(fletcher_4_algos)];
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if (ops->valid())
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break;
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}
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return (ops);
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}
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#endif
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membar_producer();
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return (fletcher_4_impl_selectors[fletcher_4_impl_chosen].fis_ops);
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}
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void
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fletcher_4_native(const void *buf, uint64_t size, zio_cksum_t *zcp)
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{
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const fletcher_4_ops_t *ops = fletcher_4_impl_get();
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ops->init(zcp);
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ops->compute(buf, size, zcp);
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if (ops->fini != NULL)
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ops->fini(zcp);
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}
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void
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fletcher_4_byteswap(const void *buf, uint64_t size, zio_cksum_t *zcp)
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{
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const fletcher_4_ops_t *ops = fletcher_4_impl_get();
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ops->init(zcp);
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ops->compute_byteswap(buf, size, zcp);
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if (ops->fini != NULL)
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ops->fini(zcp);
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}
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void
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fletcher_4_incremental_native(const void *buf, uint64_t size,
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zio_cksum_t *zcp)
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{
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fletcher_4_scalar(buf, size, zcp);
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}
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void
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fletcher_4_incremental_byteswap(const void *buf, uint64_t size,
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zio_cksum_t *zcp)
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{
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fletcher_4_scalar_byteswap(buf, size, zcp);
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}
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void
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fletcher_4_init(void)
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{
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const uint64_t const bench_ns = (50 * MICROSEC); /* 50ms */
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unsigned long best_run_count = 0;
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unsigned long best_run_index = 0;
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const unsigned data_size = 4096;
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char *databuf;
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int i;
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databuf = kmem_alloc(data_size, KM_SLEEP);
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for (i = 0; i < ARRAY_SIZE(fletcher_4_algos); i++) {
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const fletcher_4_ops_t *ops = fletcher_4_algos[i];
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kstat_named_t *stat = &fletcher_4_kstat_data[i];
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unsigned long run_count = 0;
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hrtime_t start;
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zio_cksum_t zc;
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strncpy(stat->name, ops->name, sizeof (stat->name) - 1);
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stat->data_type = KSTAT_DATA_UINT64;
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stat->value.ui64 = 0;
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if (!ops->valid())
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continue;
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kpreempt_disable();
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start = gethrtime();
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ops->init(&zc);
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do {
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ops->compute(databuf, data_size, &zc);
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run_count++;
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} while (gethrtime() < start + bench_ns);
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if (ops->fini != NULL)
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ops->fini(&zc);
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kpreempt_enable();
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if (run_count > best_run_count) {
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best_run_count = run_count;
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best_run_index = i;
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}
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/*
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* Due to high overhead of gethrtime(), the performance data
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* here is inaccurate and much slower than it could be.
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* It's fine for our use though because only relative speed
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* is important.
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*/
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stat->value.ui64 = data_size * run_count *
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(NANOSEC / bench_ns) >> 20; /* by MB/s */
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}
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kmem_free(databuf, data_size);
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fletcher_4_impl_selectors[FLETCHER_FASTEST].fis_ops =
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fletcher_4_algos[best_run_index];
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mutex_init(&fletcher_4_impl_lock, NULL, MUTEX_DEFAULT, NULL);
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fletcher_4_impl_set("fastest");
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fletcher_4_kstat = kstat_create("zfs", 0, "fletcher_4_bench",
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"misc", KSTAT_TYPE_NAMED, ARRAY_SIZE(fletcher_4_algos),
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KSTAT_FLAG_VIRTUAL);
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if (fletcher_4_kstat != NULL) {
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fletcher_4_kstat->ks_data = fletcher_4_kstat_data;
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kstat_install(fletcher_4_kstat);
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}
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}
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void
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fletcher_4_fini(void)
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{
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mutex_destroy(&fletcher_4_impl_lock);
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if (fletcher_4_kstat != NULL) {
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kstat_delete(fletcher_4_kstat);
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fletcher_4_kstat = NULL;
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}
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}
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#if defined(_KERNEL) && defined(HAVE_SPL)
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static int
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fletcher_4_param_get(char *buffer, struct kernel_param *unused)
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{
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int i, cnt = 0;
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for (i = 0; i < ARRAY_SIZE(fletcher_4_impl_selectors); i++) {
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const fletcher_4_ops_t *ops;
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ops = fletcher_4_impl_selectors[i].fis_ops;
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if (!ops->valid())
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continue;
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cnt += sprintf(buffer + cnt,
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fletcher_4_impl_chosen == i ? "[%s] " : "%s ",
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fletcher_4_impl_selectors[i].fis_name);
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}
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return (cnt);
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}
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static int
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fletcher_4_param_set(const char *val, struct kernel_param *unused)
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{
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return (fletcher_4_impl_set(val));
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}
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/*
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* Choose a fletcher 4 implementation in ZFS.
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* Users can choose the "fastest" algorithm, or "scalar" and "avx2" which means
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* to compute fletcher 4 by CPU or vector instructions respectively.
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* Users can also choose "cycle" to exercise all implementions, but this is
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* for testing purpose therefore it can only be set in user space.
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*/
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module_param_call(zfs_fletcher_4_impl,
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fletcher_4_param_set, fletcher_4_param_get, NULL, 0644);
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MODULE_PARM_DESC(zfs_fletcher_4_impl, "Select fletcher 4 algorithm");
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EXPORT_SYMBOL(fletcher_4_init);
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EXPORT_SYMBOL(fletcher_4_fini);
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EXPORT_SYMBOL(fletcher_2_native);
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EXPORT_SYMBOL(fletcher_2_byteswap);
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EXPORT_SYMBOL(fletcher_4_native);
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EXPORT_SYMBOL(fletcher_4_byteswap);
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EXPORT_SYMBOL(fletcher_4_incremental_native);
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EXPORT_SYMBOL(fletcher_4_incremental_byteswap);
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#endif
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