activity
20172026
most citedPRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms

23 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

TurboRetry: Mitigating Large-Scale QUIC Handshake Floods with Off-the-Shelf DPU Offloading

Jiahao Wu, Heng Pan, Kai Lv +3

The modern transport protocol QUIC is designed to enhance network performance and security, but it remains vulnerable to handshake flooding attacks. Such attacks exhaust CPU resour…

cs.NI2022★ 7 cited

Enabling Fast and Flexible Distributed Deep Learning with Programmable Switches

Heng Pan, Penglai Cui, Zhenyu li +11

Deep learning has been used in a wide range of areas and made a huge breakthrough. With the ever-increasing model size and train-ing data volume, distributed deep learning emerges…

cs.DC2018★ 23 cited

PRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms

Jani Boutellier, Jiahao Wu, Heikki Huttunen +1

The majority of contemporary mobile devices and personal computers are based on heterogeneous computing platforms that consist of a number of CPU cores and one or more Graphics Pro…

eess.SP2017

Reconfigurable Digital Channelizer Design Using Factored Markov Decision Processes

A. Sapio, L. Li, J. Wu +2

In this work, a novel digital channelizer design is developed through the use of a compact, system-level modeling approach. The model efficiently captures key properties of a digit…

eess.SP2017★ 2 cited

Memory-constrained Vectorization and Scheduling of Dataflow Graphs for Hybrid CPU-GPU Platforms

Shuoxin Lin, Jiahao Wu, Shuvra S. Bhattacharyya

The increasing use of heterogeneous embedded systems with multi-core CPUs and Graphics Processing Units (GPUs) presents important challenges in effectively exploiting pipeline, tas…