EDIT: the following is not a Julia issue, I notice exactly the same problem using Numpy.
The following code:
x=rand(10000,10000);
x*x
shows ~800% CPU usage according to top (I have 8 cores). When running Julia within a GNU Screen session however, I see only ~100% usage. I am running on Ubuntu 16.04, installed Julia by downloading from the web page and my versioninfo() is
Julia Version 0.6.2
Commit d386e40c17 (2017-12-13 18:08 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Core(TM) i7-2600 CPU @ 3.40GHz
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Sandybridge)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, sandybridge)
Screen:
Screen version 4.03.01 (GNU) 28-Jun-15