Is anyone successfully using Intel Math Library (`USE_INTEL_LIBM = 1`

in Make.user) in a self-compiled Julia 1.0.1?

Pre 1.0 I always used `USE_INTEL_LIBM`

and `USE_INTEL_MKL`

to replace all OpenBLAS by Intel pendants without any issues. However, for 1.0.1 things fail

```
math: Error During Test at /projects/sborowsk/julia_build/julia/test/math.jl:841
Test threw exception
Expression: ≈(sinh(x), sinh(big(x)), rtol=eps(T))
ccall: could not find function __ldexp_expf in library libimf
```

which seems to originate from `base/special/hyperbolic.jl`

where in lines

```
_ldexp_exp(x::Float64, i::T) where T = ccall(("__ldexp_exp", libm), Float64, (Float64, T), x, i)
_ldexp_exp(x::Float32, i::T) where T = ccall(("__ldexp_expf",libm), Float32, (Float32, T), x, i)
```

libopenlibm specific functions are called which can’t be found in libimf.

If I replace those lines by

```
_ldexp_exp(x::Float64, i::T) where T = ccall(("ldexp", libm), Float64, (Float64, T), x, i)
_ldexp_exp(x::Float32, i::T) where T = ccall(("ldexpf",libm), Float32, (Float32, T), x, i)
```

Things work, but the test fails:

```
Error in testset math:
Test Failed at /projects/sborowsk/julia_build/julia/test/math.jl:841
Expression: ≈(sinh(x), sinh(big(x)), rtol=eps(T))
Evaluated: 44.361416f0 ≈ 1.701399268705924328372129400192948964842537512956506377907196085335400360725516e+38 (rtol=1.1920929f-7)
```

Any related experiences anyone?

(I will write up a proper bug report if needed.)