Deep regression networks are widely used to tackle the problem of predic...
Deep neural networks are used for a wide range of regression problems.
H...
Motion planning is a computationally intensive and well-studied problem ...
Training convolutional neural networks (CNNs) is time-consuming. Prior w...
Off-chip memory traffic is a major source of power and energy consumptio...
This paper describes HoLiSwap a method to reduce L1 cache wire energy, a...
We introduce the Coarse-Grain Out-of-Order (CG- OoO) general purpose
pro...