numam-dpdk/lib/librte_acl/acl_run_neon.c
Jerin Jacob 34fa6c27c1 acl: add NEON optimization for ARMv8
The implementation uses NEON gcc intrinsic.
Verified with testacl and acl_autotest applications on arm64 architecture.

Signed-off-by: Jerin Jacob <jerin.jacob@caviumnetworks.com>
Acked-by: Konstantin Ananyev <konstantin.ananyev@intel.com>
2015-11-18 22:44:01 +01:00

47 lines
2.0 KiB
C

/*
* BSD LICENSE
*
* Copyright (C) Cavium networks Ltd. 2015.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the
* distribution.
* * Neither the name of Cavium networks nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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*/
#include "acl_run_neon.h"
int
rte_acl_classify_neon(const struct rte_acl_ctx *ctx, const uint8_t **data,
uint32_t *results, uint32_t num, uint32_t categories)
{
if (likely(num >= 8))
return search_neon_8(ctx, data, results, num, categories);
else if (num >= 4)
return search_neon_4(ctx, data, results, num, categories);
else
return rte_acl_classify_scalar(ctx, data, results, num,
categories);
}