85 citations · 111 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array
Andre Xian Ming Chang, Parth Khopkar, Bashar Romanous +6
The Streaming Engine (SE) is a Coarse-Grained Reconfigurable Array which provides programming flexibility and high-performance with energy efficiency. An application program to be…
Snowflake: A Model Agnostic Accelerator for Deep Convolutional Neural Networks
Vinayak Gokhale, Aliasger Zaidy, Andre Xian Ming Chang +1
Deep convolutional neural networks (CNNs) are the deep learning model of choice for performing object detection, classification, semantic segmentation and natural language processi…
Compiling Deep Learning Models for Custom Hardware Accelerators
Andre Xian Ming Chang, Aliasger Zaidy, Vinayak Gokhale +1
Convolutional neural networks (CNNs) are the core of most state-of-the-art deep learning algorithms specialized for object detection and classification. CNNs are both computational…
Recurrent Neural Networks Hardware Implementation on FPGA
Andre Xian Ming Chang, Berin Martini, Eugenio Culurciello
Recurrent Neural Networks (RNNs) have the ability to retain memory and learn data sequences. Due to the recurrent nature of RNNs, it is sometimes hard to parallelize all its comput…