Adding more reference docs for intel openmp related tunings

Signed-off-by: Yuan Zhou <yuan.zhou@intel.com>

Dockerfile.cpu

@@ -6,13 +6,18 @@ RUN apt-get update  -y \
     && apt-get install -y git wget vim numactl gcc-12 g++-12 python3 python3-pip libtcmalloc-minimal4 \
     && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 10 --slave /usr/bin/g++ g++ /usr/bin/g++-12
 
-RUN pip install accelerate mkl
+# https://intel.github.io/intel-extension-for-pytorch/cpu/latest/tutorials/performance_tuning/tuning_guide.html
+# intel-openmp provides additional performance improvement vs. openmp
+# tcmalloc provides better memory allocation efficiency, e.g, holding memory in caches to speed up access of commonly-used objects.
+RUN pip install intel-openmp
 
 ENV LD_PRELOAD="/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:/usr/local/lib/libiomp5.so:$LD_PRELOAD"
 
-ENV KMP_BLOCKTIME=1
+# The time(milliseconds) that a thread should wait after completing the execution of a parallel region, before sleeping.
+ENV KMP_BLOCKTIME=1 
+# Prevents the CPU to run into low performance state
 ENV KMP_TPAUSE=0
-ENV KMP_SETTINGS=1
+# Provides fine granularity parallelism
 ENV KMP_FORKJOIN_BARRIER_PATTERN=dist,dist
 ENV KMP_PLAIN_BARRIER_PATTERN=dist,dist
 ENV KMP_REDUCTION_BARRIER_PATTERN=dist,dist