2912e87a6c
Signed-off-by: Mans Rullgard <mans@mansr.com>
134 lines
5.1 KiB
ArmAsm
134 lines
5.1 KiB
ArmAsm
/*
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* Copyright (c) 2008 Siarhei Siamashka <ssvb@users.sourceforge.net>
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*
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* This file is part of Libav.
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*
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* Libav is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* Libav is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with Libav; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#include "config.h"
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#include "asm.S"
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.syntax unified
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/*
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* VFP is a floating point coprocessor used in some ARM cores. VFP11 has 1 cycle
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* throughput for almost all the instructions (except for double precision
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* arithmetics), but rather high latency. Latency is 4 cycles for loads and 8 cycles
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* for arithmetic operations. Scheduling code to avoid pipeline stalls is very
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* important for performance. One more interesting feature is that VFP has
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* independent load/store and arithmetics pipelines, so it is possible to make
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* them work simultaneously and get more than 1 operation per cycle. Load/store
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* pipeline can process 2 single precision floating point values per cycle and
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* supports bulk loads and stores for large sets of registers. Arithmetic operations
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* can be done on vectors, which allows to keep the arithmetics pipeline busy,
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* while the processor may issue and execute other instructions. Detailed
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* optimization manuals can be found at http://www.arm.com
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*/
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/**
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* ARM VFP optimized implementation of 'vector_fmul_c' function.
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* Assume that len is a positive number and is multiple of 8
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*/
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@ void ff_vector_fmul_vfp(float *dst, const float *src0, const float *src1, int len)
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function ff_vector_fmul_vfp, export=1
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vpush {d8-d15}
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fmrx r12, fpscr
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orr r12, r12, #(3 << 16) /* set vector size to 4 */
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fmxr fpscr, r12
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vldmia r1!, {s0-s3}
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vldmia r2!, {s8-s11}
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vldmia r1!, {s4-s7}
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vldmia r2!, {s12-s15}
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vmul.f32 s8, s0, s8
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1:
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subs r3, r3, #16
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vmul.f32 s12, s4, s12
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vldmiage r1!, {s16-s19}
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vldmiage r2!, {s24-s27}
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vldmiage r1!, {s20-s23}
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vldmiage r2!, {s28-s31}
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vmulge.f32 s24, s16, s24
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vstmia r0!, {s8-s11}
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vstmia r0!, {s12-s15}
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vmulge.f32 s28, s20, s28
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vldmiagt r1!, {s0-s3}
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vldmiagt r2!, {s8-s11}
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vldmiagt r1!, {s4-s7}
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vldmiagt r2!, {s12-s15}
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vmulge.f32 s8, s0, s8
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vstmiage r0!, {s24-s27}
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vstmiage r0!, {s28-s31}
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bgt 1b
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bic r12, r12, #(7 << 16) /* set vector size back to 1 */
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fmxr fpscr, r12
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vpop {d8-d15}
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bx lr
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endfunc
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/**
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* ARM VFP optimized implementation of 'vector_fmul_reverse_c' function.
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* Assume that len is a positive number and is multiple of 8
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*/
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@ void ff_vector_fmul_reverse_vfp(float *dst, const float *src0,
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@ const float *src1, int len)
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function ff_vector_fmul_reverse_vfp, export=1
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vpush {d8-d15}
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add r2, r2, r3, lsl #2
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vldmdb r2!, {s0-s3}
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vldmia r1!, {s8-s11}
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vldmdb r2!, {s4-s7}
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vldmia r1!, {s12-s15}
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vmul.f32 s8, s3, s8
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vmul.f32 s9, s2, s9
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vmul.f32 s10, s1, s10
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vmul.f32 s11, s0, s11
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1:
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subs r3, r3, #16
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vldmdbge r2!, {s16-s19}
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vmul.f32 s12, s7, s12
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vldmiage r1!, {s24-s27}
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vmul.f32 s13, s6, s13
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vldmdbge r2!, {s20-s23}
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vmul.f32 s14, s5, s14
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vldmiage r1!, {s28-s31}
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vmul.f32 s15, s4, s15
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vmulge.f32 s24, s19, s24
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vldmdbgt r2!, {s0-s3}
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vmulge.f32 s25, s18, s25
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vstmia r0!, {s8-s13}
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vmulge.f32 s26, s17, s26
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vldmiagt r1!, {s8-s11}
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vmulge.f32 s27, s16, s27
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vmulge.f32 s28, s23, s28
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vldmdbgt r2!, {s4-s7}
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vmulge.f32 s29, s22, s29
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vstmia r0!, {s14-s15}
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vmulge.f32 s30, s21, s30
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vmulge.f32 s31, s20, s31
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vmulge.f32 s8, s3, s8
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vldmiagt r1!, {s12-s15}
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vmulge.f32 s9, s2, s9
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vmulge.f32 s10, s1, s10
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vstmiage r0!, {s24-s27}
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vmulge.f32 s11, s0, s11
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vstmiage r0!, {s28-s31}
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bgt 1b
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vpop {d8-d15}
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bx lr
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endfunc
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