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e5db313494
Restore the SIMD optimization for 4.19.38 LTS, 4.14.120 LTS, and 5.0 and newer kernels. This is accomplished by leveraging the fact that by definition dedicated kernel threads never need to concern themselves with saving and restoring the user FPU state. Therefore, they may use the FPU as long as we can guarantee user tasks always restore their FPU state before context switching back to user space. For the 5.0 and 5.1 kernels disabling preemption and local interrupts is sufficient to allow the FPU to be used. All non-kernel threads will restore the preserved user FPU state. For 5.2 and latter kernels the user FPU state restoration will be skipped if the kernel determines the registers have not changed. Therefore, for these kernels we need to perform the additional step of saving and restoring the FPU registers. Invalidating the per-cpu global tracking the FPU state would force a restore but that functionality is private to the core x86 FPU implementation and unavailable. In practice, restricting SIMD to kernel threads is not a major restriction for ZFS. The vast majority of SIMD operations are already performed by the IO pipeline. The remaining cases are relatively infrequent and can be handled by the generic code without significant impact. The two most noteworthy cases are: 1) Decrypting the wrapping key for an encrypted dataset, i.e. `zfs load-key`. All other encryption and decryption operations will use the SIMD optimized implementations. 2) Generating the payload checksums for a `zfs send` stream. In order to avoid making any changes to the higher layers of ZFS all of the `*_get_ops()` functions were updated to take in to consideration the calling context. This allows for the fastest implementation to be used as appropriate (see kfpu_allowed()). The only other notable instance of SIMD operations being used outside a kernel thread was at module load time. This code was moved in to a taskq in order to accommodate the new kernel thread restriction. Finally, a few other modifications were made in order to further harden this code and facilitate testing. They include updating each implementations operations structure to be declared as a constant. And allowing "cycle" to be set when selecting the preferred ops in the kernel as well as user space. Reviewed-by: Tony Hutter <hutter2@llnl.gov> Signed-off-by: Brian Behlendorf <behlendorf1@llnl.gov> Closes #8754 Closes #8793 Closes #8965
174 lines
5.5 KiB
C
174 lines
5.5 KiB
C
/*
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* Implement fast Fletcher4 with AVX2 instructions. (x86_64)
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*
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* Use the 256-bit AVX2 SIMD instructions and registers to compute
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* Fletcher4 in four incremental 64-bit parallel accumulator streams,
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* and then combine the streams to form the final four checksum words.
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*
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* Copyright (C) 2015 Intel Corporation.
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*
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* Authors:
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* James Guilford <james.guilford@intel.com>
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* Jinshan Xiong <jinshan.xiong@intel.com>
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*
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* This software is available to you under a choice of one of two
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* licenses. You may choose to be licensed under the terms of the GNU
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* General Public License (GPL) Version 2, available from the file
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* COPYING in the main directory of this source tree, or the
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* OpenIB.org BSD license below:
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*
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* Redistribution and use in source and binary forms, with or
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* without modification, are permitted provided that the following
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* conditions are met:
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*
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* - Redistributions of source code must retain the above
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* copyright notice, this list of conditions and the following
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* disclaimer.
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*
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* - Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials
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* provided with the distribution.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
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* BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
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* ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#if defined(HAVE_AVX) && defined(HAVE_AVX2)
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#include <linux/simd_x86.h>
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#include <sys/spa_checksum.h>
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#include <sys/strings.h>
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#include <zfs_fletcher.h>
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static void
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fletcher_4_avx2_init(fletcher_4_ctx_t *ctx)
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{
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bzero(ctx->avx, 4 * sizeof (zfs_fletcher_avx_t));
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}
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static void
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fletcher_4_avx2_fini(fletcher_4_ctx_t *ctx, zio_cksum_t *zcp)
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{
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uint64_t A, B, C, D;
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A = ctx->avx[0].v[0] + ctx->avx[0].v[1] +
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ctx->avx[0].v[2] + ctx->avx[0].v[3];
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B = 0 - ctx->avx[0].v[1] - 2 * ctx->avx[0].v[2] - 3 * ctx->avx[0].v[3] +
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4 * ctx->avx[1].v[0] + 4 * ctx->avx[1].v[1] + 4 * ctx->avx[1].v[2] +
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4 * ctx->avx[1].v[3];
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C = ctx->avx[0].v[2] + 3 * ctx->avx[0].v[3] - 6 * ctx->avx[1].v[0] -
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10 * ctx->avx[1].v[1] - 14 * ctx->avx[1].v[2] -
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18 * ctx->avx[1].v[3] + 16 * ctx->avx[2].v[0] +
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16 * ctx->avx[2].v[1] + 16 * ctx->avx[2].v[2] +
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16 * ctx->avx[2].v[3];
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D = 0 - ctx->avx[0].v[3] + 4 * ctx->avx[1].v[0] +
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10 * ctx->avx[1].v[1] + 20 * ctx->avx[1].v[2] +
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34 * ctx->avx[1].v[3] - 48 * ctx->avx[2].v[0] -
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64 * ctx->avx[2].v[1] - 80 * ctx->avx[2].v[2] -
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96 * ctx->avx[2].v[3] + 64 * ctx->avx[3].v[0] +
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64 * ctx->avx[3].v[1] + 64 * ctx->avx[3].v[2] +
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64 * ctx->avx[3].v[3];
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ZIO_SET_CHECKSUM(zcp, A, B, C, D);
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}
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#define FLETCHER_4_AVX2_RESTORE_CTX(ctx) \
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{ \
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asm volatile("vmovdqu %0, %%ymm0" :: "m" ((ctx)->avx[0])); \
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asm volatile("vmovdqu %0, %%ymm1" :: "m" ((ctx)->avx[1])); \
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asm volatile("vmovdqu %0, %%ymm2" :: "m" ((ctx)->avx[2])); \
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asm volatile("vmovdqu %0, %%ymm3" :: "m" ((ctx)->avx[3])); \
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}
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#define FLETCHER_4_AVX2_SAVE_CTX(ctx) \
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{ \
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asm volatile("vmovdqu %%ymm0, %0" : "=m" ((ctx)->avx[0])); \
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asm volatile("vmovdqu %%ymm1, %0" : "=m" ((ctx)->avx[1])); \
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asm volatile("vmovdqu %%ymm2, %0" : "=m" ((ctx)->avx[2])); \
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asm volatile("vmovdqu %%ymm3, %0" : "=m" ((ctx)->avx[3])); \
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}
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static void
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fletcher_4_avx2_native(fletcher_4_ctx_t *ctx, const void *buf, uint64_t size)
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{
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const uint64_t *ip = buf;
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const uint64_t *ipend = (uint64_t *)((uint8_t *)ip + size);
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kfpu_begin();
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FLETCHER_4_AVX2_RESTORE_CTX(ctx);
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for (; ip < ipend; ip += 2) {
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asm volatile("vpmovzxdq %0, %%ymm4"::"m" (*ip));
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asm volatile("vpaddq %ymm4, %ymm0, %ymm0");
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asm volatile("vpaddq %ymm0, %ymm1, %ymm1");
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asm volatile("vpaddq %ymm1, %ymm2, %ymm2");
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asm volatile("vpaddq %ymm2, %ymm3, %ymm3");
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}
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FLETCHER_4_AVX2_SAVE_CTX(ctx);
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asm volatile("vzeroupper");
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kfpu_end();
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}
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static void
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fletcher_4_avx2_byteswap(fletcher_4_ctx_t *ctx, const void *buf, uint64_t size)
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{
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static const zfs_fletcher_avx_t mask = {
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.v = { 0xFFFFFFFF00010203, 0xFFFFFFFF08090A0B,
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0xFFFFFFFF00010203, 0xFFFFFFFF08090A0B }
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};
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const uint64_t *ip = buf;
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const uint64_t *ipend = (uint64_t *)((uint8_t *)ip + size);
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kfpu_begin();
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FLETCHER_4_AVX2_RESTORE_CTX(ctx);
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asm volatile("vmovdqu %0, %%ymm5" :: "m" (mask));
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for (; ip < ipend; ip += 2) {
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asm volatile("vpmovzxdq %0, %%ymm4"::"m" (*ip));
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asm volatile("vpshufb %ymm5, %ymm4, %ymm4");
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asm volatile("vpaddq %ymm4, %ymm0, %ymm0");
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asm volatile("vpaddq %ymm0, %ymm1, %ymm1");
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asm volatile("vpaddq %ymm1, %ymm2, %ymm2");
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asm volatile("vpaddq %ymm2, %ymm3, %ymm3");
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}
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FLETCHER_4_AVX2_SAVE_CTX(ctx);
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asm volatile("vzeroupper");
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kfpu_end();
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}
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static boolean_t fletcher_4_avx2_valid(void)
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{
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return (kfpu_allowed() && zfs_avx_available() && zfs_avx2_available());
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}
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const fletcher_4_ops_t fletcher_4_avx2_ops = {
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.init_native = fletcher_4_avx2_init,
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.fini_native = fletcher_4_avx2_fini,
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.compute_native = fletcher_4_avx2_native,
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.init_byteswap = fletcher_4_avx2_init,
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.fini_byteswap = fletcher_4_avx2_fini,
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.compute_byteswap = fletcher_4_avx2_byteswap,
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.valid = fletcher_4_avx2_valid,
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.name = "avx2"
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};
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#endif /* defined(HAVE_AVX) && defined(HAVE_AVX2) */
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