Sep 23, 2021 � We have proposed an algorithm to schedule two adjacent layers of CNN operations. Our goal is to reduce traffic between DRAM and local memory�...

We have proposed an algorithm to schedule two adjacent layers of CNN operations. Our goal is to reduce traffic between DRAM and local memory more than�...

Aug 8, 2021 � ICPP-EMS: Intra- and Inter- Layer Transformation to Reduce Memory Traffic for CNN ...
Duration: 14:12
Posted: Aug 8, 2021

... -volatile Memory. 53 views. 3 years ago � 14:12 � ICPP-EMS: Intra- and Inter- Layer Transformation to Reduce Memory Traffic for CNN Computation. 56 views.

Apr 25, 2024 � Intra- and Inter- Layer Transformation to Reduce Memory Traffic for CNN Computation. ICPP Workshops 2021: 14:1-14:5. [+][–]. 2010 – 2019. FAQ.

This paper proposes a scheme based on a densely connected convolution neural network (D-CNN) to predict the partition of coding units (CUs).

Abstract—Sparse CNNs dramatically reduce computation and storage costs over dense ones. But sparsity also makes CNNs more data-intensive, as each value is�...

This paper gives detailed insight about computation speed acceleration using Stochastic Gradient Decent(SGD) optimization, Fast convolution and exploiting�...

Sep 29, 2021 � First, there is significant variation in terms of layer type, shape, and characteristics (e.g., FLOP/B ratio, memory footprint, intra- and inter�...

Intra- and Inter- Layer Transformation to Reduce Memory Traffic for CNN Computation � Pin-Wei LiaoW. HsuShih-Wei Liao. Computer Science. ICPP Workshops. 2021.