Rui Ma - RankMe

11 papers B 2Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LUMINA: LLM-Guided GPU Architecture Exploration via Bottleneck Analysis. CoRR Tao Zhang, Rui Ma, Shuotao Xu, Yongqiang Xiong, Peng Cheng
2025	—	`conf`	Miniature: Fast AI Supercomputer Networks Simulation on FPGAs. APNet Yicheng Qian, Ran Shu, Rui Ma, Yang Wang, Derek Chiou, Nadeen Gebara, Luca Piccolboni, Miriam Leeser, Yongqiang Xiong
2025	J	`jnl`	TENET: An Efficient Sparsity-Aware LUT-Centric Architecture for Ternary LLM Inference On Edge. CoRR Zhirui Huang, Rui Ma, Shijie Cao, Ran Shu, Ian Wang, Ting Cao, Chixiao Chen, Yongqiang Xiong
2024	J	`jnl`	Primate: A Framework to Automatically Generate Soft Processors for Network Applications. IEEE Comput. Archit. Lett. Rui Ma, Jia-Ching Hsu, Ali Mansoorshahi, Joseph Garvey, Michael Kinsner, Deshanand P. Singh, Derek Chiou
2022	J	`jnl`	FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems. IEEE Comput. Archit. Lett. Rui Ma, Evangelos Georganas, Alexander Heinecke, Sergey Gribok, Andrew Boutros, Eriko Nurvitadhi
2022	J	`jnl`	FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems. CoRR Rui Ma, Evangelos Georganas, Alexander Heinecke, Andrew Boutros, Eriko Nurvitadhi
2021	B	`conf`	DO-GPU: Domain Optimizable Soft GPUs. FPL Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, Rajesh Vivekanandham, Aravind Dasu, Martin Langhammer, Derek Chiou
2021	J	`jnl`	Specializing FGPU for Persistent Deep Learning. ACM Trans. Reconfigurable Technol. Syst. Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu, Derek Chiou
2020	—	`conf`	Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs. FPT Andrew Boutros, Eriko Nurvitadhi, Rui Ma, Sergey Gribok, Zhipeng Zhao, James C. Hoe, Vaughn Betz, Martin Langhammer
2019	B	`conf`	Specializing FGPU for Persistent Deep Learning. FPL Rui Ma, Derek Chiou, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu
2017	—	`conf`	OCEAN: An on-chip incremental-learning enhanced processor with gated recurrent neural network accelerators. ESSCIRC Chixiao Chen, Hongwei Ding, Huwan Peng, Haozhe Zhu, Rui Ma, Peiyong Zhang, Xiaolang Yan, Yu Wang, Mingyu Wang, Hao Min, Chuanjin Richard Shi