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ORCIDGuohao Dai 0001
Person information
- affiliation: Shanghai Jiao Tong University, School of Artificial Intelligence, Shanghai, China
- affiliation (PhD 2019): Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with the same name
- Guohao Dai 0002 — Shenzhen University, College of Mechatronics and Control Engineering, Shenzhen, China
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2020 – today
- 2026
[j19]Lidong Guo
, Zhenhua Zhu, Xuefei Ning, Tengxuan Liu, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang:
Towards Floating Point-Based AI Acceleration: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. ACM Trans. Design Autom. Electr. Syst. 31(1): 9:1-9:27 (2026)- 2025
- [j18]Guohao Dai, Ke Hong, Qiuli Mao, Xiuhong Li, Jiaming Xu, Haofeng Huang, Hongtu Xia, Xuefei Ning, Shengen Yan, Yun Liang, Yu Wang:
FlashDecoding++Next: High Throughput LLM Inference With Latency and Memory Optimization. IEEE Trans. Computers 74(10): 3263-3276 (2025) - [j17]Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Ningyi Xu, Guohao Dai:
A Point Transformer Accelerator With Distribution-Aware Heuristic Distance Calculation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(2): 751-764 (2025) - [j16]Shuai Yuan, Weifeng He, Zhenhua Zhu, Fangxin Liu, Zhuoran Song, Guohao Dai, Guanghui He, Yanan Sun:
HyCTor: A Hybrid CNN-Transformer Network Accelerator With Flexible Weight/Output Stationary Dataflow and Multicore Extension. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(5): 1819-1832 (2025) - [j15]Jiaming Xu, Shan Huang, Jinhao Li, Guyue Huang, Yuan Xie, Yu Wang, Guohao Dai:
Enabling Efficient Sparse Multiplications on GPUs With Heuristic Adaptability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(6): 2226-2239 (2025) - [j14]Chen Zhang, Shijie Cao, Guohao Dai, Chenbo Geng, Zhuliang Yao, Wencong Xiao, Yunxin Liu, Ming Wu, Lintao Zhang, Guangyu Sun, Zhigang Ji, Runsheng Wang, Ru Huang:
Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(7): 2544-2557 (2025) - [c89]Li Ding, Jun Liu, Shan Huang, Guohao Dai:
ViDA: Video Diffusion Transformer Acceleration with Differential Approximation and Adaptive Dataflow. ASP-DAC 2025: 148-154 - [c88]Hao Zhou, Yang Liu, Hongji Wang, Enhao Tang, Shun Li, Yifan Zhang, Guohao Dai, Yongpan Liu, Kun Wang:
Deploying Diffusion Models with Scheduling Space Search and Memory Overflow Prevention Based on Graph Optimization. ASP-DAC 2025: 170-176 - [c87]Jiaming Xu, Jinhao Li, Jun Liu, Hao Zhou, Guohao Dai:
Accelerator for LLM-Enhanced GNN with Product Quantization and Unified Indexing. ASP-DAC 2025: 534-540 - [c86]Shan Huang, Jinhao Li, Zhen Yu, Jiancai Ye, Jiaming Xu, Ningyi Xu, Guohao Dai:
LLSM: LLM-enhanced Logic Synthesis Model with EDA-guided CoT Prompting, Hybrid Embedding and AIG-tailored Acceleration. ASP-DAC 2025: 974-980 - [c85]Jiancai Ye, Jun Liu, Haoyu Zhang, Maojia Sheng, Tao Yang, Jiaming Xu, Jinhao Li, Yu Wang, Guohao Dai:
SG-Filter: Enhancing Similar Text Retrieval via Hierarchical Summarized-Semantic Index and Adaptive Filtering. CIKM 2025: 3866-3876 - [c84]Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang:
MBQ: Modality-Balanced Quantization for Large Vision-Language Models. CVPR 2025: 4167-4177 - [c83]Yaoxiu Lian, Zhihong Gou, Yibo Han, Zhongming Yu, Jiaming Xu, Sheng Yuan, Zhilin Pei, Xingcheng Zhang, Ningyi Xu, Guohao Dai:
A Cross-model Fusion-aware Framework for Optimizing (gather-matmul-scatter)s Workload. DAC 2025: 1-7 - [c82]Tianlang Zhao, Jun Liu, Xingyang Li, Li Ding, Jinhao Li, Shuaiheng Li, Jinbo Hu, Guohao Dai:
Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way. DAC 2025: 1-7 - [c81]Mariam Rakka, Jinhao Li, Guohao Dai, Ahmed M. Eltawil, Mohammed E. Fouda, Fadi J. Kurdahi:
SoftmAP: Software-Hardware Co-Design for Integer-Only Softmax on Associative Processors. DATE 2025: 1-7 - [c80]Enhao Tang, Shun Li, Hao Zhou, Guohao Dai, Jun Lin, Kun Wang:
AiSpGEMM: Accelerating Imbalanced SpGEMM on FPGAs with Flexible Interconnect and Intra-row Parallel Merging. DATE 2025: 1-7 - [c79]Zhen Yu, Jinhao Li, Jiaming Xu, Shan Huang, Jiancai Ye, Ningyi Xu, Guohao Dai:
DyLGNN: Efficient LM-GNN Fine-Tuning with Dynamic Node Partitioning, Low-Degree Sparsity, and Asynchronous Sub-Batch. DATE 2025: 1-7 - [c78]Xuefei Ning, Guohao Dai, Haoli Bai, Lu Hou, Yu Wang, Qun Liu:
Efficient Inference for Large Language Models -Algorithm, Model, and System. EMNLP (Tutorial Abstracts) 2025: 1-3 - [c77]Jun Liu, Shulin Zeng, Li Ding, Widyadewi Soedarmadji, Hao Zhou, Zehao Wang, Jinhao Li, Jintao Li, Yadong Dai, Kairui Wen, Shan He, Yaqi Sun, Yu Wang, Guohao Dai:
FlightVGM: Efficient Video Generation Model Inference with Online Sparsification and Hybrid Precision on FPGAs. FPGA 2025: 2-13 - [c76]Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Jiewen Wang, Yuhan Zhang, Hao Guo, Jintao Li, Ziming Zhang, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang:
FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. FPGA 2025: 55 - [c75]Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai:
TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. HPCA 2025: 949-962 - [c74]Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. ICLR 2025 - [c73]Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu:
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding. ICLR 2025 - [c72]Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. ICLR 2025 - [c71]Ziyang Zheng, Shan Huang, Jianyuan Zhong, Zhengyuan Shi, Guohao Dai, Ningyi Xu, Qiang Xu:
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale. ICLR 2025 - [c70]Jiaming Xu, Jiayi Pan, Yongkang Zhou, Siming Chen, Jinhao Li, Yaoxiu Lian, Junyi Wu, Guohao Dai:
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting. ISCA 2025: 467-481 - [c69]Ke Hong, Xiuhong Li, Lufang Chen, Qiuli Mao, Guohao Dai, Xuefei Ning, Shengen Yan, Yun Liang, Yu Wang:
SOLA: Optimizing SLO Attainment for Large Language Model Serving with State-Aware Scheduling. MLSys 2025 - [c68]Zhihang Yuan, Siyuan Wang, Yuzhang Shang, Hanling Zhang, Tongcheng Fang, Rui Xie, Shengen Yan, Guohao Dai, Yu Wang:
DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation. ACM Multimedia 2025: 10388-10397 - [i65]Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models. CoRR abs/2501.01986 (2025) - [i64]Ziyang Zheng, Shan Huang, Jianyuan Zhong, Zhengyuan Shi, Guohao Dai, Ningyi Xu, Qiang Xu:
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale. CoRR abs/2502.01681 (2025) - [i63]Zhihang Yuan, Siyuan Wang, Rui Xie, Hanling Zhang, Tongcheng Fang, Yuzhang Shang, Shengen Yan, Guohao Dai, Yu Wang:
DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation. CoRR abs/2502.11897 (2025) - [i62]Boxun Li, Yadong Li, Zhiyuan Li, Congyi Liu, Weilin Liu, Guowei Niu, Zheyue Tan, Haiyang Xu, Zhuyu Yao, Tao Yuan, Dong Zhou, Yueqing Zhuang, Shengen Yan, Guohao Dai, Yu Wang:
Megrez-Omni Technical Report. CoRR abs/2502.15803 (2025) - [i61]Hanling Zhang, Rundong Su, Zhihang Yuan, Pengtao Chen, Mingzhu Shen, Yibo Fan, Shengen Yan, Guohao Dai, Yu Wang:
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers. CoRR abs/2503.22796 (2025) - [i60]Jiaming Xu, Jiayi Pan, Yongkang Zhou, Siming Chen, Jinhao Li, Yaoxiu Lian, Junyi Wu, Guohao Dai:
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting. CoRR abs/2504.08850 (2025) - [i59]Zhihang Yuan, Rui Xie, Yuzhang Shang, Hanling Zhang, Siyuan Wang, Shengen Yan, Guohao Dai, Yu Wang:
VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate. CoRR abs/2504.12259 (2025) - [i58]Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang:
FlashOverlap: A Lightweight Design for Efficiently Overlapping Communication and Computation. CoRR abs/2504.19519 (2025) - [i57]Ke Hong, Lufang Chen, Zhong Wang, Xiuhong Li, Qiuli Mao, Jianping Ma, Chao Xiong, Guanyu Wu, Buhe Han, Guohao Dai, Yu Wang:
semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage. CoRR abs/2504.19867 (2025) - [i56]Tengxuan Liu, Shiyao Li, Jiayi Yang, Tianchen Zhao, Feng Zhou, Xiaohui Song, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang:
PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs. CoRR abs/2505.18610 (2025) - [i55]Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang:
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. CoRR abs/2505.21600 (2025) - [i54]Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang:
Reducing GPU Memory Fragmentation via Spatio-Temporal Planning for Efficient Large-Scale Model Training. CoRR abs/2507.16274 (2025) - [i53]Boxun Li, Yadong Li, Zhiyuan Li, Congyi Liu, Weilin Liu, Guowei Niu, Zheyue Tan, Haiyang Xu, Zhuyu Yao, Tao Yuan, Dong Zhou, Yueqing Zhuang, Bo Zhao, Guohao Dai, Yu Wang:
Megrez2 Technical Report. CoRR abs/2507.17728 (2025) - [i52]Hanling Zhang, Yayu Zhou, Tongcheng Fang, Zhihang Yuan, Guohao Dai, Yu Wang:
VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models. CoRR abs/2508.15229 (2025) - [i51]Hanzhen Wang, Jiaming Xu, Jiayi Pan, Yongkang Zhou, Guohao Dai:
SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning. CoRR abs/2509.05614 (2025) - [i50]Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai:
SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation. CoRR abs/2509.13848 (2025) - [i49]Chao Yu, Yuanqing Wang, Zhen Guo, Hao Lin, Si Xu, Hongzhi Zang, Quanlu Zhang, Yongji Wu, Chunyang Zhu, Junhao Hu, Zixiao Huang, Mingjie Wei, Yuqing Xie, Ke Yang, Bo Dai, Zhexuan Xu, Xiangyuan Wang, Xu Fu, Zhihao Liu, Kang Chen, Weilin Liu, Gang Liu, Boxun Li, Jianlei Yang, Zhi Yang, Guohao Dai, Yu Wang:
RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation. CoRR abs/2509.15965 (2025) - [i48]Yida Wang, Ke Hong, Xiuhong Li, Yuanchao Xu, Wenxun Wang, Guohao Dai, Yu Wang:
TASP: Topology-aware Sequence Parallelism. CoRR abs/2509.26541 (2025) - [i47]Tianyu Fu, Zihan Min, Hanling Zhang, Jichao Yan, Guohao Dai, Wanli Ouyang, Yu Wang:
Cache-to-Cache: Direct Semantic Communication Between Large Language Models. CoRR abs/2510.03215 (2025) - [i46]Junyi Wu, Jiaming Xu, Jinhao Li, Yongkang Zhou, Jiayi Pan, Xingyang Li, Guohao Dai:
BalanceGS: Algorithm-System Co-design for Efficient 3D Gaussian Splatting Training on GPU. CoRR abs/2510.14564 (2025) - [i45]Zheyue Tan, Zhiyuan Liu, Tao Yuan, Dong Zhou, Weilin Liu, Yueqing Zhuang, Yadong Li, Guowei Niu, Cheng Qin, Zhuyu Yao, Congyi Liu, Haiyang Xu, Boxun Li, Guohao Dai, Bo Zhao, Yu Wang:
ReXMoE: Reusing Experts with Minimal Overhead in Mixture-of-Experts. CoRR abs/2510.17483 (2025) - [i44]Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang:
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation. CoRR abs/2510.21003 (2025) - [i43]Tianyu Fu, Yichen You, Zekai Chen, Guohao Dai, Huazhong Yang, Yu Wang:
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models. CoRR abs/2511.08577 (2025) - [i42]Yanxin Peng, Qingping Li, Baodong Wu, Shigang Li, Guohao Dai, Shengen Yan, Yu Wang:
BitSnap: Checkpoint Sparsification and Quantization in LLM Training. CoRR abs/2511.12376 (2025) - [i41]Zixiao Huang, Wen Zeng, Tianyu Fu, Tengxuan Liu, Yizhou Sun, Ke Hong, Xinhao Yang, Chengchun Liu, Yan Li, Quanlu Zhang, Guohao Dai, Zhenhua Zhu, Yu Wang:
Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design. CoRR abs/2511.20048 (2025) - [i40]Jiaming Xu, Jiayi Pan, Hanzhen Wang, Yongkang Zhou, Jiancai Ye, Yu Wang, Guohao Dai:
SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs. CoRR abs/2512.00722 (2025) - [i39]Yao Teng, Zhihuan Jiang, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu:
SJD++: Improved Speculative Jacobi Decoding for Training-free Acceleration of Discrete Auto-regressive Text-to-Image Generation. CoRR abs/2512.07503 (2025) - [i38]Zhuoran Zhu, Chunyang Zhu, Hao Lin, Xu Fu, Yiming Zhou, Quanlu Zhang, Zhenhua Li, Feng Qian, Chao Yu, Boxun Li, Guohao Dai, Yu Wang:
FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication Fusion. CoRR abs/2512.22036 (2025) - 2024
- [j13]Shiyao Li, Zhenhua Zhu, Hanbo Sun, Xuefei Ning, Guohao Dai, Yiming Hu, Huazhong Yang, Yu Wang:
Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8053-8066 (2024) - [j12]Yiming Chen, Mingyen Lee, Guohao Dai, Mufeng Zhou, Nagadastagiri Challapalle, Tianyi Wang, Yao Yu, Yongpan Liu, Yu Wang, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li:
GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility. IEEE Trans. Emerg. Top. Comput. 12(1): 84-96 (2024) - [c67]Kai Zhong, Zhenhua Zhu, Guohao Dai, Hongyi Wang, Xinhao Yang, Haoyu Zhang, Jin Si, Qiuli Mao, Shulin Zeng, Ke Hong, Genghan Zhang, Huazhong Yang, Yu Wang:
FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. ASPLOS (3) 2024: 349-366 - [c66]Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. CVPR 2024: 16122-16131 - [c65]Hongyi Wang, Kai Zhong, Haoyu Zhang, Shulin Zeng, Zhenhua Zhu, Xinhao Yang, Shuang Wang, Guohao Dai, Huazhong Yang, Yu Wang:
DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. DAC 2024: 96:1-96:6 - [c64]Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang:
FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. DATE 2024: 1-6 - [c63]Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang:
DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. DATE 2024: 1-6 - [c62]Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang:
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. ECCV (14) 2024: 285-302 - [c61]Luning Wang, Shiyao Li, Xuefei Ning, Zhihang Yuan, Shengen Yan, Guohao Dai, Yu Wang:
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios. ENLSP 2024: 468-484 - [c60]Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang:
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. FPGA 2024: 223-234 - [c59]Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai:
Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. ICCAD 2024: 150:1-150:9 - [c58]Lidong Guo, Zhenhua Zhu, Tengxuan Liu, Xuefei Ning, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang:
Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. ICCAD 2024: 177:1-177:9 - [c57]Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai:
MARCA: Mamba Accelerator with Reconfigurable Architecture. ICCAD 2024: 234:1-234:9 - [c56]Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Evaluating Quantized Large Language Models. ICML 2024: 28480-28524 - [c55]Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang:
FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics. MLSys 2024 - [c54]Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang:
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study. NeurIPS 2024 - [c53]Zhihang Yuan, Hanling Zhang, Lu Pu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang:
DiTFastAttn: Attention Compression for Diffusion Transformer Models. NeurIPS 2024 - [c52]Fan Yang, Zehao Wang, Haoyu Zhang, Zhenhua Zhu, Xinhao Yang, Guohao Dai, Yu Wang:
Efficient Deployment of Large Language Model across Cloud-Device Systems. SOCC 2024: 1-6 - [i37]Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang:
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. CoRR abs/2401.03868 (2024) - [i36]Tao Yuan, Xuefei Ning, Dong Zhou, Zhijie Yang, Shiyao Li, Minghui Zhuang, Zheyue Tan, Zhuyu Yao, Dahua Lin, Boxun Li, Guohao Dai, Shengen Yan, Yu Wang:
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K. CoRR abs/2402.05136 (2024) - [i35]Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Evaluating Quantized Large Language Models. CoRR abs/2402.18158 (2024) - [i34]Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR abs/2403.16379 (2024) - [i33]Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR abs/2404.02241 (2024) - [i32]Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, Guohao Dai, Xiao-Ping Zhang, Yuhan Dong, Yu Wang:
A Survey on Efficient Inference for Large Language Models. CoRR abs/2404.14294 (2024) - [i31]Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu:
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis. CoRR abs/2405.14224 (2024) - [i30]Si Xu, Zixiao Huang, Yan Zeng, Shengen Yan, Xuefei Ning, Haolin Ye, Sipei Gu, Chunsheng Shui, Zhezheng Lin, Hao Zhang, Sheng Wang, Guohao Dai, Yu Wang:
HetHub: A Heterogeneous distributed hybrid training system for large-scale models. CoRR abs/2405.16256 (2024) - [i29]Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang:
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR abs/2405.17873 (2024) - [i28]Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR abs/2406.02540 (2024) - [i27]Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang:
DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR abs/2406.08552 (2024) - [i26]Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang:
Can LLMs Learn by Teaching? A Preliminary Study. CoRR abs/2406.14629 (2024) - [i25]Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. CoRR abs/2406.14909 (2024) - [i24]Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. CoRR abs/2407.00945 (2024) - [i23]Luning Wang, Shiyao Li, Xuefei Ning, Zhihang Yuan, Shengen Yan, Guohao Dai, Yu Wang:
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios. CoRR abs/2409.10593 (2024) - [i22]Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai:
MARCA: Mamba Accelerator with ReConfigurable Architecture. CoRR abs/2409.11440 (2024) - [i21]Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu:
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding. CoRR abs/2410.01699 (2024) - [i20]Jinhao Li, Jiaming Xu, Shan Huang, Yonghua Chen, Wen Li, Jun Liu, Yaoxiu Lian, Jiayi Pan, Li Ding, Hao Zhou, Yu Wang, Guohao Dai:
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective. CoRR abs/2410.04466 (2024) - [i19]Haoyu Zhang, Jun Liu, Zhenhua Zhu, Shulin Zeng, Maojia Sheng, Tao Yang, Guohao Dai, Yu Wang:
Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search. CoRR abs/2410.20381 (2024) - [i18]Mariam Rakka, Jinhao Li, Guohao Dai, Ahmed M. Eltawil, Mohammed E. Fouda, Fadi J. Kurdahi:
SoftmAP: Software-Hardware Co-design for Integer-Only Softmax on Associative Processors. CoRR abs/2411.17847 (2024) - [i17]Yijia Zhang, Zhihong Gou, Shijie Cao, Weigang Feng, Sicheng Zhang, Guohao Dai, Ningyi Xu:
Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach. CoRR abs/2411.18873 (2024) - [i16]Zhihang Yuan, Yuzhang Shang, Hanling Zhang, Tongcheng Fang, Rui Xie, Bingxin Xu, Yan Yan, Shengen Yan, Guohao Dai, Yu Wang:
E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling. CoRR abs/2412.14170 (2024) - [i15]Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang:
MBQ: Modality-Balanced Quantization for Large Vision-Language Models. CoRR abs/2412.19509 (2024) - 2023
- [j11]Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang:
Sgap: towards efficient sparse tensor algebra compilation for GPU. CCF Trans. High Perform. Comput. 5(2): 210-227 (2023) - [j10]Shulin Zeng, Guohao Dai, Niansong Zhang, Xinhao Yang, Haoyu Zhang, Zhenhua Zhu, Huazhong Yang, Yu Wang:
Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective. IEEE Trans. Computers 72(5): 1314-1328 (2023) - [j9]Jingbo Hu, Guohao Dai, Liuzheng Wang, Liyang Lai, Yu Huang, Huazhong Yang, Yu Wang:
Adaptive Multidimensional Parallel Fault Simulation Framework on Heterogeneous System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 1951-1964 (2023) - [j8]Hanbo Sun, Zhenhua Zhu, Chenyu Wang, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4075-4089 (2023) - [j7]Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Huazhong Yang, Yu Wang:
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4112-4125 (2023) - [j6]Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang:
CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4883-4896 (2023) - [c51]Wentao Hou, Kai Zhong, Shulin Zeng, Guohao Dai, Huazhong Yang, Yu Wang:
NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring. ASP-DAC 2023: 645-650 - [c50]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops 2023: 202-209 - [c49]Shiyao Li, Zhenhua Zhu, Yu Zhu, Qingpeng Zhu, Jiangwei Zhang, Wenxiu Sun, Guohao Dai, Fei Qiao, Huazhong Yang, Yu Wang:
Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation. DAC 2023: 1-6 - [c48]Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang:
An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. DAC 2023: 1-6 - [c47]Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang:
Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. DAC 2023: 1-6 - [c46]Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang:
PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. DAC 2023: 1-6 - [c45]Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang:
CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. DATE 2023: 1-6 - [c44]Hanbo Sun, Tongxin Xie, Zhenhua Zhu, Guohao Dai, Huazhong Yang, Yu Wang:
Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture. DATE 2023: 1-6 - [c43]Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. ECAI 2023: 3058-3065 - [c42]Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Guohao Dai, Ningyi Xu:
A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS. ICCAD 2023: 1-9 - [c41]Jun Liu, Guohao Dai, Hao Xia, Lidong Guo, Xiangsheng Shi, Jiaming Xu, Huazhong Yang, Yu Wang:
TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency. ICCAD 2023: 1-9 - [c40]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV 2023: 17682-17692 - [c39]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO 2023: 225-239 - [c38]Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang:
DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. MICRO 2023: 283-296 - [c37]Ke Hong, Zhongming Yu, Guohao Dai, Xinhao Yang, Yaoxiu Lian, Zehao Liu, Ningyi Xu, Yuhan Dong, Yu Wang:
Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds. MLSys 2023 - [c36]Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang:
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. MLSys 2023 - [c35]Weijie Luo, Zihao Liu, Guohao Dai, Ningyi Xu:
History-Detr: Optimize Query Initialization Strategy by Using Historical Information and Kinematics. MMAsia 2023: 4:1-4:7 - [c34]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [i14]Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training. CoRR abs/2305.19982 (2023) - [i13]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR abs/2307.08209 (2023) - [i12]Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang:
FlashDecoding++: Faster Large Language Model Inference on GPUs. CoRR abs/2311.01282 (2023) - [i11]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR abs/2311.12862 (2023) - [i10]Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai:
Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. CoRR abs/2311.16442 (2023) - 2022
- [j5]Jincheng Yu, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu, Zhaoyang Shen, Yuanfan Xu, Guohao Dai, Yu Wang, Huazhong Yang:
INCAME: Interruptible CNN Accelerator for Multirobot Exploration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 964-978 (2022) - [j4]Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang:
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5421-5434 (2022) - [j3]Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang:
A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. ACM Trans. Reconfigurable Technol. Syst. 15(3): 24:1-24:31 (2022) - [c33]Bangyan Wang, Lei Deng, Fei Sun, Guohao Dai, Liu Liu, Yu Wang, Yuan Xie:
A one-for-all and o(v log(v ))-cost solution for parallel merge style operations on sorted key-value arrays. ASPLOS 2022: 669-682 - [c32]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic adaptability to input dynamics for SpMM on CPUs. DAC 2022: 595-600 - [c31]Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang:
Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. DATE 2022: 652-657 - [c30]Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. DATE 2022: 867-872 - [c29]Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang:
DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. ISCA 2022: 130-145 - [c28]Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang:
Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. MDM 2022: 179-184 - [c27]Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang:
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys 2022 - [i9]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR abs/2202.08556 (2022) - [i8]Yiming Chen, Guohao Dai, Mufeng Zhou, Mingyen Lee, Nagadastagiri Challapalle, Guodong Yin, Zekun Yang, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li:
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. CoRR abs/2208.08600 (2022) - [i7]Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang:
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU. CoRR abs/2209.02882 (2022) - 2021
- [c26]Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang:
3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. FPGA 2021: 228 - [c25]Yitu Wang, Zhenhua Zhu, Fan Chen, Mingyuan Ma, Guohao Dai, Yu Wang, Hai Li, Yiran Chen:
Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. ICCAD 2021: 1-9 - [c24]Zhongming Yu, Guohao Dai, Guyue Huang, Yu Wang, Huazhong Yang:
Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs. ICCD 2021: 567-574 - [i6]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR abs/2103.00959 (2021) - [i5]Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie:
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. CoRR abs/2106.16064 (2021) - [i4]Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang:
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR abs/2110.09524 (2021) - 2020
- [c23]Jincheng Yu, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu, Chaoyang Shen, Yuanfan Xu, Guohao Dai, Yu Wang, Huazhong Yang:
INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots. DAC 2020: 1-6 - [c22]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FCCM 2020: 102-110 - [c21]Jincheng Yu, Zhilin Xu, Shulin Zeng, Chao Yu, Jiantao Qiu, Chaoyang Shen, Yuanfan Xu, Guohao Dai, Yu Wang, Huazhong Yang:
INCAME: INterruptible CNN Accelerator for Multi-robot Exploration. FPGA 2020: 316 - [c20]Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FPGA 2020: 317 - [c19]Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Yu Wang, Huazhong Yang:
MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI 2020: 83-88 - [c18]Ziqian Wan, Guohao Dai, Yun Joon Soh, Jishen Zhao, Yu Wang:
An Order Sampling Processing-in-Memory Architecture for Approximate Graph Pattern Mining. ACM Great Lakes Symposium on VLSI 2020: 357-362 - [c17]Tianyu Fu, Ziqian Wan, Guohao Dai, Yu Wang, Huazhong Yang:
LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining. HPEC 2020: 1-7 - [c16]Jingbo Hu, Guohao Dai, Yu Wang, Huazhong Yang:
GraphSDH: A General Graph Sampling Framework with Distribution and Hierarchy. HPEC 2020: 1-7 - [c15]Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang:
GE-SpMM: general-purpose sparse matrix-matrix multiplication on GPUs for graph neural networks. SC 2020: 72 - [i3]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. CoRR abs/2003.12101 (2020) - [i2]Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang:
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks. CoRR abs/2007.03179 (2020)
2010 – 2019
- 2019
- [j2]Guohao Dai, Tianhao Huang, Yu Wang, Huazhong Yang, John Wawrzynek:
HyVE: Hybrid Vertex-Edge Memory Hierarchy for Energy-Efficient Graph Processing. IEEE Trans. Computers 68(8): 1131-1146 (2019) - [j1]Guohao Dai, Tianhao Huang, Yuze Chi, Jishen Zhao, Guangyu Sun, Yongpan Liu, Yu Wang, Yuan Xie, Huazhong Yang:
GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 640-653 (2019) - [c14]Guohao Dai, Tianhao Huang, Yu Wang, Huazhong Yang, John Wawrzynek:
GraphSAR: a sparsity-aware processing-in-memory architecture for large-scale graph processing on ReRAMs. ASP-DAC 2019: 120-126 - [c13]Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang:
A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. DAC 2019: 56 - [c12]Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie:
Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC 2019: 177 - [c11]Qijing Huang, Christopher Yarp, Sagar Karandikar, Nathan Pemberton, Benjamin Brock, Liang Ma, Guohao Dai, Robert Quitt, Krste Asanovic, John Wawrzynek:
Centrifuge: Evaluating full-system HLS-generated heterogenous-accelerator SoCs using FPGA-Acceleration. ICCAD 2019: 1-8 - 2018
- [c10]Tianhao Huang, Guohao Dai, Yu Wang, Huazhong Yang:
HyVE: Hybrid vertex-edge memory hierarchy for energy-efficient graph processing. DATE 2018: 973-978 - [c9]Guohao Dai, Tianhao Huang, Yu Wang, Huazhong Yang, John Wawrzynek:
NewGraph: Balanced Large-Scale Graph Processing on FPGAs with Low Preprocessing Overheads. FCCM 2018: 208 - [c8]Gushu Li, Guohao Dai, Shuangchen Li, Yu Wang, Yuan Xie:
GraphIA: an in-situ accelerator for large-scale graph processing. MEMSYS 2018: 79-84 - 2017
- [c7]Guohao Dai, Tianhao Huang, Yuze Chi, Ningyi Xu, Yu Wang, Huazhong Yang:
ForeGraph: Exploring Large-scale Graph Processing on Multi-FPGA Architecture. FPGA 2017: 217-226 - 2016
- [c6]Guohao Dai, Yuze Chi, Yu Wang, Huazhong Yang:
FPGP: Graph Processing Framework on FPGA A Case Study of Breadth-First Search. FPGA 2016: 105-110 - [c5]Yubin Li, Yuliang Sun, Guohao Dai, Qiang Xu, Yu Wang, Huazhong Yang:
Approximate Frequent Itemset Mining for streaming data on FPGA. FPL 2016: 1-4 - [c4]Yuze Chi, Guohao Dai, Yu Wang, Guangyu Sun, Guoliang Li, Huazhong Yang:
NXgraph: An efficient graph processing system on a single machine. ICDE 2016: 409-420 - 2015
- [c3]Yubin Li, Yuliang Sun, Guohao Dai, Yuzhi Wang, Jiacai Ni, Yu Wang, Guoliang Li, Huazhong Yang:
A self-aware data compression system on FPGA in Hadoop. FPT 2015: 196-199 - [i1]Yuze Chi, Guohao Dai, Yu Wang, Guangyu Sun, Guoliang Li, Huazhong Yang:
NXgraph: An Efficient Graph Processing System on a Single Machine. CoRR abs/1510.06916 (2015) - 2014
- [c2]Guohao Dai, Yi Shan, Fei Chen, Yu Wang, Kun Wang, Huazhong Yang:
Online scheduling for FPGA computation in the Cloud. FPT 2014: 330-333 - 2013
- [c1]Sitao Huang, Guohao Dai, Yuliang Sun, Zilong Wang, Yu Wang, Huazhong Yang:
DTW-Based Subsequence Similarity Search on AMD Heterogeneous Computing Platform. HPCC/EUC 2013: 1054-1063
Coauthor Index
[j19] [j18] [j17] [j15] [c85] [c84] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c69] [c68] [i65] [i63] [i62] [i61] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i49] [i48] [i47] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [j13] [j12] [c67] [c66] [c65] [c63] [c62] [c61] [c60] [c58] [c56] [c55] [c54] [c53] [c52] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i21] [i20] [i19] [i16] [i15] [j11] [j10] [j9] [j8] [j7] [j6] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [i13] [i12] [i11] [j5] [j4] [j3] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [i9] [i7] [c26] [c25] [c24] [i6] [i5] [i4] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i3] [i2] [j2] [j1] [c14] [c13] [c12] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i1] [c2] [c1]
[j19] [c84] [c74] [c72] [i65] [i56] [i55] [i43] [j13] [j12] [c67] [c66] [c65] [c63] [c58] [c56] [c54] [i35] [i34] [i33] [i28] [i26] [i25] [i24] [i15] [j10] [j9] [j8] [j7] [j6] [c51] [c49] [c47] [c46] [c45] [c44] [c41] [c40] [c38] [i13] [j5] [j4] [j3] [c32] [c31] [c30] [c29] [c28] [i9] [i8] [c26] [c24] [c23] [c22] [c21] [c20] [c19] [c17] [c16] [c15] [i3] [i2] [j2] [j1] [c14] [c13] [c10] [c9] [c7] [c6] [c5] [c4] [c3] [i1] [c2] [c1]
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