Implement vectorized asin/asinf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector asin/asinf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized atan/atanf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector atan/atanf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized acos/acosf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector acos/acosf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector sin/sinf and input files to libmvec microbenchmark.
libmvec-sin-inputs:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 5.0
10% uniform random distribution in range (-1000.0, 1000.0)
libmvec-sinf-inputs:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 5.0f
10% uniform random distribution in range (-1000.0f, 1000.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector pow/powf and input files to libmvec microbenchmark.
libmvec-pow-inputs:
arg1:
90% Normal random distribution
range: (0.0, 256.0)
mean: 0.0
sigma: 32.0
10% uniform random distribution in range (0.0, 256.0)
arg2:
90% Normal random distribution
range: (-127.0, 127.0)
mean: 0.0
sigma: 16.0
10% uniform random distribution in range (-127.0, 127.0)
libmvec-powf-inputs:
arg1:
90% Normal random distribution
range: (0.0f, 100.0f)
mean: 0.0f
sigma: 16.0f
10% uniform random distribution in range (0.0f, 100.0f)
arg2:
90% Normal random distribution
range: (-10.0f, 10.0f)
mean: 0.0f
sigma: 8.0f
10% uniform random distribution in range (-10.0f, 10.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector log/logf and input files to libmvec microbenchmark.
libmvec-log-inputs:
70% Normal random distribution
range: (0.0, DBL_MAX)
mean: 1.0
sigma: 50.0
30% uniform random distribution in range (0.0, DBL_MAX)
libmvec-logf-inputs:
70% Normal random distribution
range: (0.0f, FLT_MAX)
mean: 1.0f
sigma: 50.0f
30% uniform random distribution in range (0.0f, FLT_MAX)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector exp/expf and input files to libmvec microbenchmark.
libmvec-exp-inputs:
90% Normal random distribution
range: (-708.0, 709.0)
mean: 0.0
sigma: 16.0
10% uniform random distribution in range (-500.0, 500.0)
libmvec-expf-inputs:
90% Normal random distribution
range: (-87.0f, 88.0f)
mean: 0.0f
sigma: 8.0f
10% uniform random distribution in range (-50.0f, 50.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector cos/cosf and input files to libmvec microbenchmark.
libmvec-cos-inputs:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 5.0
10% uniform random distribution in range (-1000.0, 1000.0)
libmvec-cosf-inputs:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 5.0f
10% uniform random distribution in range (-1000.0f, 1000.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add python script to generate libmvec microbenchmark from the input
values for each libmvec function using skeleton benchmark template.
Creates double and float benchmarks with vector length 1, 2, 4, 8,
and 16 for each libmvec function. Vector length 1 corresponds to
scalar version of function and is included for vector function perf
comparison.
Co-authored-by: Haochen Jiang <haochen.jiang@intel.com>
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
1. Add sysdeps/x86_64/fpu/Makeconfig to auto-generate libmvec.mk, which
contains libmvec ABI test dependencies and CFLAGS, in the build directory.
2. Include libmvec.mk for libmvec ABI test dependencies and CFLAGS.
Tested on SSE4, AVX, AVX2 and AVX512 machines.
Reviewed-by: Noah Goldstein <goldstein.w.n@gmail.com>
