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author | Philip Balister <philip@opensdr.com> | 2016-01-28 17:00:03 +0100 |
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committer | Martin Braun <martin.braun@ettus.com> | 2016-03-23 10:36:42 -0700 |
commit | 47aa63a871ab37f3a4c475ed905de178d1a55639 (patch) | |
tree | e07192ec2e83b0a2fb6c2518f985912d9e46b1d0 /host | |
parent | 1a51d7e050d70fae1c4b750892102a5540a0587e (diff) | |
download | uhd-47aa63a871ab37f3a4c475ed905de178d1a55639.tar.gz uhd-47aa63a871ab37f3a4c475ed905de178d1a55639.tar.bz2 uhd-47aa63a871ab37f3a4c475ed905de178d1a55639.zip |
Unroll the loops in the NEON float to/from integer converters.
Unrolling the RX loop showed marked improvement with perf. The TX path
was only slightly better. Checked signal correctness with shinysdr to verify
received signal and tx_waveforms into a spectrum analyzer for TX.
Signed-off-by: Philip Balister <philip@opensdr.com>
Diffstat (limited to 'host')
-rw-r--r-- | host/lib/convert/convert_with_neon.cpp | 48 |
1 files changed, 46 insertions, 2 deletions
diff --git a/host/lib/convert/convert_with_neon.cpp b/host/lib/convert/convert_with_neon.cpp index f1c7773ec..a172afb54 100644 --- a/host/lib/convert/convert_with_neon.cpp +++ b/host/lib/convert/convert_with_neon.cpp @@ -34,13 +34,35 @@ DECLARE_CONVERTER(fc32, 1, sc16_item32_le, 1, PRIORITY_SIMD){ size_t i; float32x4_t Q0 = vdupq_n_f32(float(scale_factor)); - for (i=0; i < (nsamps & ~0x03); i+=2) { + for (i=0; i < (nsamps & ~0x0f); i+=8) { float32x4_t Q1 = vld1q_f32(reinterpret_cast<const float *>(&input[i])); + float32x4_t Q4 = vld1q_f32(reinterpret_cast<const float *>(&input[i+2])); + float32x4_t Q7 = vld1q_f32(reinterpret_cast<const float *>(&input[i+4])); + float32x4_t Q10 = vld1q_f32(reinterpret_cast<const float *>(&input[i+6])); + float32x4_t Q2 = vmulq_f32(Q1, Q0); int32x4_t Q3 = vcvtq_s32_f32(Q2); int16x4_t D8 = vmovn_s32(Q3); int16x4_t D9 = vrev32_s16(D8); vst1_s16((reinterpret_cast<int16_t *>(&output[i])), D9); + + float32x4_t Q5 = vmulq_f32(Q4, Q0); + int32x4_t Q6 = vcvtq_s32_f32(Q5); + int16x4_t D10 = vmovn_s32(Q6); + int16x4_t D11 = vrev32_s16(D10); + vst1_s16((reinterpret_cast<int16_t *>(&output[i+2])), D11); + + float32x4_t Q8 = vmulq_f32(Q7, Q0); + int32x4_t Q9 = vcvtq_s32_f32(Q8); + int16x4_t D12 = vmovn_s32(Q9); + int16x4_t D13 = vrev32_s16(D12); + vst1_s16((reinterpret_cast<int16_t *>(&output[i+4])), D13); + + float32x4_t Q11 = vmulq_f32(Q10, Q0); + int32x4_t Q13 = vcvtq_s32_f32(Q11); + int16x4_t D14 = vmovn_s32(Q13); + int16x4_t D15 = vrev32_s16(D14); + vst1_s16((reinterpret_cast<int16_t *>(&output[i+6])), D15); } xx_to_item32_sc16<uhd::htowx>(input+i, output+i, nsamps-i, scale_factor); @@ -53,13 +75,35 @@ DECLARE_CONVERTER(sc16_item32_le, 1, fc32, 1, PRIORITY_SIMD){ size_t i; float32x4_t Q1 = vdupq_n_f32(float(scale_factor)); - for (i=0; i < (nsamps & ~0x03); i+=2) { + for (i=0; i < (nsamps & ~0xf); i+=8) { int16x4_t D0 = vld1_s16(reinterpret_cast<const int16_t *>(&input[i])); + int16x4_t D2 = vld1_s16(reinterpret_cast<const int16_t *>(&input[i+2])); + int16x4_t D4 = vld1_s16(reinterpret_cast<const int16_t *>(&input[i+4])); + int16x4_t D6 = vld1_s16(reinterpret_cast<const int16_t *>(&input[i+6])); + int16x4_t D1 = vrev32_s16(D0); int32x4_t Q2 = vmovl_s16(D1); float32x4_t Q3 = vcvtq_f32_s32(Q2); float32x4_t Q4 = vmulq_f32(Q3, Q1); vst1q_f32((reinterpret_cast<float *>(&output[i])), Q4); + + int16x4_t D3 = vrev32_s16(D2); + int32x4_t Q5 = vmovl_s16(D3); + float32x4_t Q6 = vcvtq_f32_s32(Q5); + float32x4_t Q7 = vmulq_f32(Q6, Q1); + vst1q_f32((reinterpret_cast<float *>(&output[i+2])), Q7); + + int16x4_t D5 = vrev32_s16(D4); + int32x4_t Q8 = vmovl_s16(D5); + float32x4_t Q9 = vcvtq_f32_s32(Q8); + float32x4_t Q10 = vmulq_f32(Q9, Q1); + vst1q_f32((reinterpret_cast<float *>(&output[i+4])), Q10); + + int16x4_t D7 = vrev32_s16(D6); + int32x4_t Q11 = vmovl_s16(D7); + float32x4_t Q12 = vcvtq_f32_s32(Q11); + float32x4_t Q13 = vmulq_f32(Q12, Q1); + vst1q_f32((reinterpret_cast<float *>(&output[i+6])), Q13); } item32_sc16_to_xx<uhd::htowx>(input+i, output+i, nsamps-i, scale_factor); |