4 papers
Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model Inference
Yinghan Li, Yifei Li, Jiejing Zhang +13
It has long been a problem to arrange and execute irregular workloads on massively parallel devices. We propose a general framework for statically batching irregular workloads into…
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI
Zhengdong Li, Frederick Ziyang Hong, C. Patrick Yue
In recent years, Convolutional Neural Networks (CNNs) have been widely adopted in computer vision. Complex CNN architecture running on CPU or GPU has either insufficient throughput…
Generative Adversarial Network on Motion-Blur Image Restoration
Zhengdong Li
In everyday life, photographs taken with a camera often suffer from motion blur due to hand vibrations or sudden movements. This phenomenon can significantly detract from the quali…
An Overview of Machine Learning-Driven Resource Allocation in IoT Networks
Zhengdong Li
In the wake of disruptive IoT technologies generating massive amounts of diverse data, Machine Learning (ML) will play a crucial role in bringing intelligence to Internet of Things…