IMPROVE code blocs

gpaw/README.md

@@ -71,12 +71,12 @@ are two additional steps compared to a standard installation:
 modifying the default options and paths to match your system. The following
 compiler options may offer a good starting point.
 
-"""
+```shell
 CC        = icc
 CCFLAGS   = $(CUGPAW_DEFS) -fPIC -std=c99 -m64 -O3
 NVCC      = nvcc -ccbin=icpc
 NVCCFLAGS = $(CUGPAW_DEFS) -O3 -arch=sm_20 -m64 --compiler-options '-fPIC -O3'
-"""
+```
 
 To use a dynamic link to Libxc, please add a corresponding include flag to the
 CUGPAW_INCLUDES (e.g. '-I/path/to/libxc/include') and a
@@ -89,7 +89,7 @@ After making the necessary changes, simply run make (in the c/cuda path).
 2) Edit your GPAW setup script (customize.py) to add correct link and compile
 options for CUDA. The relevant lines are e.g.:
 
-"""
+```python
 define_macros += [('GPAW_CUDA', '1')]
 libraries += [
         'gpaw-cuda',
@@ -105,7 +105,7 @@ include_dirs += [
         '/path/to/cuda/include'
 ]
 
-"""
+```
 
 
 ## Xeon Phi MICs
@@ -160,20 +160,20 @@ from standard installation:
 
 1) Compile and install Numpy with a suitable site.cfg to use MKL, e.g.
 
-"""
+```python
 [mkl]
 library_dirs = /path/to/mkl/lib/intel64
 include_dirs = /path/to/mkl/include
 lapack_libs =
 mkl_libs = mkl_rt
-"""
+```
 
 2) Compile and install pyMIC before GPAW.
 
 3) Edit your GPAW setup script (customize.py) to add correct link and compile
 options for offloading. The relevant lines are e.g.:
 
-"""
+```python
 # offload to KNC
 extra_compile_args += ['-qoffload-option,mic,compiler,"-qopenmp"']
 extra_compile_args += ['-qopt-report-phase=offload']
@@ -182,7 +182,7 @@ extra_compile_args += ['-qopt-report-phase=offload']
 mic_mkl_lib = '/path/to/mkl/lib/mic/'
 extra_link_args += ['-offload-option,mic,link,"-L' + mic_mkl_lib \
         + ' -lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -lpthread"']
-"""
+```