 However,  shared resource contention remains an important issue that must be considered in applying deep-learning models on shared memory based embedded computing platforms  .
<meaning-changed>  However,  shared resource contention remains an important issue that must be considered in applying deep-learning models on shared memory based embedded computing platforms  .
 However, shared resource contention remains an important issue that must be considered in applying deep-learning models on shared memory based embedded computing platforms ; we observe up to 11.6X execution time increase in the CNN based control loop due to shared resource contention. To protect the CNN workload, we also evaluate state-of-the-art cache partitioning and memory bandwidth throttling techniques on the Pi 3. We find that cache partitioning is ineffective, while memory bandwidth throttling is an effective solution .