deep learning

The rise of deep-learning (DL) has been fuelled by the improvements in accelerators. GPU continues to remain the most widely used accelerator for DL applications. We present a survey of architecture and system-level techniques for optimizing DL applications on GPUs. We review 75+ techniques...

Design of hardware accelerators for neural network (NN) applications involves walking a tight rope amidst the constraints of low-power, high accuracy and throughput. NVIDIA's Jetson is a promising platform for embedded machine learning which seeks to achieve a balance between the above...