222 citations · 423 across the 6 of their papers we have counts for
4 papers · 1 filter
Programming Heterogeneous Systems from an Image Processing DSL
Jing Pu, Steven Bell, Xuan Yang +4
Specialized image processing accelerators are necessary to deliver the performance and energy efficiency required by important applications in computer vision, computational photog…
FPMax: a 106GFLOPS/W at 217GFLOPS/mm2 Single-Precision FPU, and a 43.7GFLOPS/W at 74.6GFLOPS/mm2 Double-Precision FPU, in 28nm UTBB FDSOI
Jing Pu, Sameh Galal, Xuan Yang +2
FPMax implements four FPUs optimized for latency or throughput workloads in two precisions, fabricated in 28nm UTBB FDSOI. Each unit's parameters, e.g pipeline stages, booth encodi…
A Systematic Approach to Blocking Convolutional Neural Networks
Xuan Yang, Jing Pu, Blaine Burton Rister +6
Convolutional Neural Networks (CNNs) are the state of the art solution for many computer vision problems, and many researchers have explored optimized implementations. Most impleme…
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han, Xingyu Liu, Huizi Mao +4
State-of-the-art deep neural networks (DNNs) have hundreds of millions of connections and are both computationally and memory intensive, making them difficult to deploy on embedded…