activity
20222024
most citedSALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AR2024

Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs

Mingzhe Gao, Jieru Zhao, Zhe Lin +1

High-level synthesis (HLS) notably speeds up the hardware design process by avoiding RTL programming. However, the turnaround time of HLS increases significantly when post-route qu…

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.RO2023

FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow

Wenchao Ding, Jieru Zhao, Yubin Chu +5

There is extensive literature on perceiving road structures by fusing various sensor inputs such as lidar point clouds and camera images using deep neural nets. Leveraging the late…

cs.DC20231 cited

DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration

Zijun Li, Chuhao Xu, Quan Chen +3

Serverless computing that runs functions with auto-scaling is a popular task execution pattern in the cloud-native era. By connecting serverless functions into workflows, tenants c…

cs.AR20221 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…

cs.LG2022

PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs

Zhe Lin, Zike Yuan, Jieru Zhao +3

Power estimation is the basis of many hardware optimization strategies. However, it is still challenging to offer accurate power estimation at an early stage such as high-level syn…