Yanzhi Wang - Northeastern Univ. , Boston, MA
Zhe Chen - Univ. of California, Los Angeles, CA
In this workshop, we focus on the open research problems of automatic design for neural networks, where we discuss full stack open source infrastructure support to develop and deploy novel neural networks, including novel algorithms and applications, hardware architectures and emerging devices, hardware-software codesign, as well as programming, compiler, system, and tool support. We plan to bring together academic and industry experts to share their experience, discuss challenges they face as well as potential focus areas for the community. Workshop topics include, but are not limited to:◾ New algorithm advancement of neural networks, ◾ Bio-plausible neural network models, ◾ Neural network model compression and quantization, ◾ Application of neural networks into new areas, ◾ Hardware acceleration and architecture for neural networks, ◾ New circuits and devices for neural networks, ◾ Abstraction to bridge the algorithm and hardware gap for neural networks, ◾ Compilation, programming language, and design automation support to map neural networks to hardware platforms, ◾ System support to deploy neural networks in cloud and edge devices, ◾ Benchmarks for various neural network models and hardware accelerators, ◾ Performance comparison of neural networks running in difference architectures and devices, ◾ Other research infrastructures that enable the above studies.