3 papers
cs.AR2026
DORA: Dataflow-Instruction Orchestration Architecture for DNN Acceleration
Xingzhen Chen, Zhuoping Yang, Jinming Zhuang +5
As deep neural networks develop significantly more diverse and complex, achieving high performance and efficiency on complicated DNN models faces pressing challenges. Modern DNN wo…
cs.AR2026
FILCO: Flexible Composing Architecture with Real-Time Reconfigurability for DNN Acceleration
Xingzhen Chen, Jinming Zhuang, Zhuoping Yang +5
With the development of deep neural network (DNN) enabled applications, achieving high hardware resource efficiency on diverse workloads is non-trivial in heterogeneous computing p…
cs.AR2026
PHAROS: Pipelined Heterogeneous Accelerators for Real-time Safety-critical Systems With Deadline Compliance
Shixin Ji, Jinming Zhuang, Sarah Schultz +6
Spatially partitioned heterogeneous accelerators (HAs) are increasingly adopted in embedded systems for their performance and flexibility. Yet most existing HA design frameworks op…