Rui Ma

According to our database, Rui Ma authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Understand and Accelerate Memory Processing Pipeline for Disaggregated LLM Inference.

Zifan He, Rui Ma, Yizhou Sun, Jason Cong

CoRR, March, 2026

LUMINA: LLM-Guided GPU Architecture Exploration via Bottleneck Analysis.

Tao Zhang, Rui Ma, Shuotao Xu, Yongqiang Xiong, Peng Cheng

CoRR, March, 2026

SmartNIC-Enabled Live Migration for Storage-Optimized VMs with PYROCUMULUS.

Jiechen Zhao, Ran Shu, Lei Qu, Ziyue Yang, Rui Ma, Derek Chiou, Natalie Enright Jerger, Peng Cheng, Yongqiang Xiong

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

LUT-LLM: Efficient Language Model Inference with Memory-based Computations on FPGAs.

Zifan He, Shengyu Ye, Rui Ma, Yang Wang, Jason Cong

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

2025

LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs.

Zifan He, Shengyu Ye, Rui Ma, Yang Wang, Jason Cong

CoRR, November, 2025

TENET: An Efficient Sparsity-Aware LUT-Centric Architecture for Ternary LLM Inference On Edge.

Zhirui Huang, Rui Ma, Shijie Cao, Ran Shu, Ian Wang, Ting Cao, Chixiao Chen, Yongqiang Xiong

CoRR, September, 2025

Beyond the Time Domain: Recent Advances on Frequency Transforms in Time Series Analysis.

Qianru Zhang, Peng Yang, Honggang Wen, Xinzhu Li, Haixin Wang, Fang Sun, Zezheng Song, Zhichen Lai, Rui Ma, Ruihua Han, Tailin Wu, Siu-Ming Yiu, Yizhou Sun, Hongzhi Yin

CoRR, April, 2025

Miniature: Fast AI Supercomputer Networks Simulation on FPGAs.

Yicheng Qian, Ran Shu, Rui Ma, Yang Wang, Derek Chiou, Nadeen Gebara, Luca Piccolboni, Miriam Leeser, Yongqiang Xiong

Proceedings of the 9th Asia-Pacific Workshop on Networking, 2025

2024

Primate: A Framework to Automatically Generate Soft Processors for Network Applications.

Rui Ma, Jia-Ching Hsu, Ali Mansoorshahi, Joseph Garvey, Michael Kinsner, Deshanand P. Singh, Derek Chiou

IEEE Comput. Archit. Lett., 2024

2022

FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems.

Rui Ma, Evangelos Georganas, Alexander Heinecke, Andrew Boutros, Eriko Nurvitadhi

CoRR, 2022

FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems.

Rui Ma, Evangelos Georganas, Alexander Heinecke, Sergey Gribok, Andrew Boutros, Eriko Nurvitadhi

IEEE Comput. Archit. Lett., 2022

2021

DO-GPU: Domain Optimizable Soft GPUs.

Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, Rajesh Vivekanandham, Aravind Dasu, Martin Langhammer, Derek Chiou

Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

2020

Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs.

Andrew Boutros, Eriko Nurvitadhi, Rui Ma, Sergey Gribok, Zhipeng Zhao, James C. Hoe, Vaughn Betz, Martin Langhammer

Proceedings of the International Conference on Field-Programmable Technology, 2020

2019

Specializing FGPU for Persistent Deep Learning.

Rui Ma, Derek Chiou, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

2017

OCEAN: An on-chip incremental-learning enhanced processor with gated recurrent neural network accelerators.

Chixiao Chen, Hongwei Ding, Huwan Peng, Haozhe Zhu, Rui Ma, Peiyong Zhang, Xiaolang Yan, Yu Wang, Mingyu Wang, Hao Min, Chuanjin Richard Shi

Proceedings of the 43rd IEEE European Solid State Circuits Conference, 2017