1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AR2024
An Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation
Weichuang Zhang, Jieru Zhao, Guan Shen +3
With the increasing demand for computing capability given limited resource and power budgets, it is crucial to deploy applications to customized accelerators like FPGAs. However, F…
cs.DC2023
MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems
Guan Shen, Jieru Zhao, Zeke Wang +5
Along with the fast evolution of deep neural networks, the hardware system is also developing rapidly. As a promising solution achieving high scalability and low manufacturing cost…
cs.AR2022★ 1 cited
SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences
Guan Shen, Jieru Zhao, Quan Chen +3
The attention mechanisms of transformers effectively extract pertinent information from the input sequence. However, the quadratic complexity of self-attention w.r.t the sequence l…