1

Spatially partitioned heterogeneous accelerators (HAs) are increasingly adopted in embedded systems for their performance and …

With the development of deep neural network (DNN) enabled applications, achieving high hardware resource efficiency on diverse …

Deep neural network (DNN) models are increasingly deployed in real-time, safety-critical systems such as autonomous vehicles, driving …

Graphics Processing Units (GPUs) have become essential for com- putationally intensive applications. However, emerging workloads such …

Real-time systems are widely applied in different areas like autonomous vehicles, where safety is the key metric. However, on the FPGA …

As AI continues to grow, modern applications are becoming more data- and compute-intensive, driving the development of specialized AI …