Chen Zhang

According to our database, Chen Zhang authored at least 73 papers between 2013 and 2026.

Collaborative distances:

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

2026

HiRe: A Hierarchical Reconfigurable Architecture for Large-Scale Multichiplet DNN Accelerators.

Zhihong Chen, Jinming Zhang, Dongxu Lyu, Hao Chen, Jianfei Jiang, Weiguang Sheng, Chen Zhang, Guanghui He

IEEE Trans. Very Large Scale Integr. Syst., June, 2026

MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems.

Zhuoshan Zhou, Chen Zhang, Shuyi Zhang, Qijun Zhang, Haibo Wang, Zhe Zhou, Zhipeng Tu, Guangyu Sun, Yijia Diao, Zhigang Ji, Jingwen Leng, Guanghui He, Minyi Guo

CoRR, May, 2026

Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems.

Chen Zhang, Qijun Zhang, Zhuoshan Zhou, Yijia Diao, Haibo Wang, Zhe Zhou, Zhipeng Tu, Zhiyao Li, Guangyu Sun, Zhuoran Song, Zhigang Ji, Jingwen Leng, Minyi Guo

CoRR, May, 2026

Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs.

Qijun Zhang, Chen Zhang, Zhuoshan Zhou, Haibo Wang, Zhe Zhou, Zhipeng Tu, Guangyu Sun, Zhiyao Xie, Yijia Diao, Zhigang Ji, Jingwen Leng, Guanghui He, Minyi Guo

CoRR, May, 2026

TOM: A Ternary Read-only Memory Accelerator for LLM-powered Edge Intelligence.

Hongyi Guan, Yijia Zhang, Wenqiang Wang, Yizhao Gao, Shijie Cao, Chen Zhang, Ningyi Xu

CoRR, February, 2026

M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization.

Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng

CoRR, January, 2026

Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems.

Chen Zhang, Qijun Zhang, Zhuoshan Zhou, Yijia Diao, Haibo Wang, Zhe Zhou, Zhipeng Tu, Zhiyao Li, Guangyu Sun, Zhuoran Song, Zhigang Ji, Jingwen Leng, Minyi Guo

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

FlashFuser: Expanding the Scale of Kernel Fusion for Compute-Intensive Operators via Inter-Core Connection.

Ziyu Huang, Yangjie Zhou, Zihan Liu, Xinhao Luo, Yijia Diao, Minyi Guo, Jidong Zhai, Yu Feng, Chen Zhang, Anbang Wu, Jingwen Leng

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

M²XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization.

Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models.

Chenhao Xue, Kezhi Li, Jiaxing Zhang, Yi Ren, Zhengyuan Shi, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models.

Jingchen Zhu, Chenhao Xue, Yiqi Chen, Zhao Wang, Chen Zhang, Yu Shen, Yifan Chen, Zekang Cheng, Yu Jiang, Tianqi Wang, Yibo Lin, Wei Hu, Bin Cui, Runsheng Wang, Yun Liang, Guangyu Sun

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2025

ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive.

Xinhao Luo, Zihan Liu, Yangjie Zhou, Shihan Fang, Ziyu Huang, Yu Feng, Chen Zhang, Shixuan Sun, Zhenzhe Zheng, Jingwen Leng, Minyi Guo

CoRR, August, 2025

Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference.

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

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2025

ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis.

Zedong Peng, Zeju Li, Mingzhe Gao, Qiang Xu, Chen Zhang, Jieru Zhao

CoRR, July, 2025

Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization.

Zhican Wang, Guanghui He, Dantong Liu, Lingjun Gao, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Wayne Luk, Hongxiang Fan

CoRR, June, 2025

Scaling Laws for Speculative Decoding.

Siyuan Yan, Mo Zhu, Guo-qing Jiang, Jianfei Wang, Jiaxing Chen, Wentai Zhang, Xiang Liao, Xiao Cui, Chen Zhang, Zhuoran Song, Ran Zhu

CoRR, May, 2025

DiffuSE: Cross-Layer Design Space Exploration of DNN Accelerator via Diffusion-Driven Optimization.

Yi Ren, Chenhao Xue, Jiaxing Zhang, Chen Zhang, Qiang Xu, Yibo Lin, Lining Zhang, Guangyu Sun

CoRR, March, 2025

DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators.

Chenhao Xue, Yi Ren, Jinwei Zhou, Kezhi Li, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun

CoRR, March, 2025

DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures.

Chen Zhang, Yang Wang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng, Zhigang Ji, Yuan Xie, Ru Huang

IEEE Trans. Computers, February, 2025

Data and System Perspectives of Sustainable Artificial Intelligence.

Tao Xie, David Harel, Dezhi Ran, Zhenwen Li, Maoliang Li, Zhi Yang, Leye Wang, Xiang Chen, Ying Zhang, Wentao Zhang, Meng Li, Chen Zhang, Linyi Li, Assaf Marron

CoRR, January, 2025

DWCLF-Net: A weighted contrastive learning feature fusion network for temporal scar image sequence classification.

Anping Song, Chen Zhang, Xiaozhen Lou, Wendong Qi, Minyi Gu, Runzhi Huang, Shizhao Ji

Biomed. Signal Process. Control., 2025

Jenga: Effective Memory Management for Serving LLM with Heterogeneity.

Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica

Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications.

Kuntai Du, Bowen Wang, Chen Zhang, Yiming Cheng, Qing Lan, Hejian Sang, Yihua Cheng, Jiayi Yao, Xiaoxuan Liu, Yifan Qiao, Ion Stoica, Junchen Jiang

Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

FlashTensor: Optimizing Tensor Programs by Leveraging Fine-grained Tensor Property.

Runxin Zhong, Yuyang Jin, Chen Zhang, Kinman Lei, Shuangyu Li, Jidong Zhai

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

H²-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference.

Cong Li, Yihan Yin, Xintong Wu, Jingchen Zhu, Zhutianya Gao, Dimin Niu, Qiang Wu, Xin Si, Yuan Xie, Chen Zhang, Guangyu Sun

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core.

Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

OutlierCIM: Outlier-Aware Digital CIM-Based LLM Accelerator with Hybrid-Strategy Quantization and Unified FP-INT Computation.

Zihan Zou, Shikuang Chen, Chen Zhang, Xing Wang, Zhichao Liu, Haoran Du, Xin Si, Hao Cai, Bo Liu

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU.

Yuanzheng Yao, Chen Zhang, Chunyu Qi, Ruiyang Chen, Jun Wang, Zhihui Fu, Naifeng Jing, Xiaoyao Liang, Zhuoran Song

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization.

Chunyu Qi, Xuhang Wang, Ruiyang Chen, Yuanzheng Yao, Naifeng Jing, Chen Zhang, Jun Wang, Zhihui Fu, Xiaoyao Liang, Zhuoran Song

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization.

Zixuan Ma, Haojie Wang, Jingze Xing, Shuhong Huang, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Mingshu Zhai, Shizhi Tang, Penghan Wang, Jidong Zhai

Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, 2025

2024

Graph-Centric Performance Analysis for Large-Scale Parallel Applications.

Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Xia Liao, Feng Zhang, Jidong Zhai

IEEE Trans. Parallel Distributed Syst., July, 2024

MAGPY: Compiling Eager Mode DNN Programs by Monitoring Execution States.

Chen Zhang, Rongchao Dong, Haojie Wang, Runxin Zhong, Jike Chen, Jidong Zhai

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

MixQ: Taming Dynamic Outliers in Mixed-Precision Quantization by Online Prediction.

Yidong Chen, Chen Zhang, Rongchao Dong, Haoyuan Zhang, Yonghua Zhang, Zhonghua Lu, Jidong Zhai

Proceedings of the International Conference for High Performance Computing, 2024

Oltron: Algorithm-Hardware Co-design for Outlier-Aware Quantization of LLMs with Inter-/Intra-Layer Adaptation.

Chenhao Xue, Chen Zhang, Xun Jiang, Zhutianya Gao, Yibo Lin, Guangyu Sun

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Amanda: Unified Instrumentation Framework for Deep Neural Networks.

Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR.

Zixuan Ma, Haojie Wang, Jingze Xing, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Shizhi Tang, Penghan Wang, Jidong Zhai

CoRR, 2023

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.

Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation.

Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration.

Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization.

Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks.

Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Jason Cong

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Tsinghua University.

Runxin Zhong, Jiajie Chen, Chen Zhang, Mingshu Zhai, Zeyu Song, Yutian Wang, Wentao Han, Lin Gan, Jidong Zhai

IEEE Trans. Parallel Distributed Syst., 2022

UniQ: A Unified Programming Model for Efficient Quantum Circuit Simulation.

Chen Zhang, Haojie Wang, Zixuan Ma, Lei Xie, Zeyu Song, Jidong Zhai

Proceedings of the SC22: International Conference for High Performance Computing, 2022

PerFlow: a domain specific framework for automatic performance analysis of parallel applications.

Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Jidong Zhai

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

FreeTensor: a free-form DSL with holistic optimizations for irregular tensor programs.

Shizhi Tang, Jidong Zhai, Haojie Wang, Lin Jiang, Liyan Zheng, Zhenhao Yuan, Chen Zhang

Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning.

Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization.

Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Calibration of the Multiple Choice Machine Reading Comprehension.

Luxi Xing, Yue Hu, Yuqiang Xie, Wei Peng, Yajing Sun, Chen Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

Efficiently emulating high-bitwidth computation with low-bitwidth hardware.

Zixuan Ma, Haojie Wang, Guanyu Feng, Chen Zhang, Lei Xie, Jiaao He, Shengqi Chen, Jidong Zhai

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation.

Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo

Proceedings of the Tenth International Conference on Learning Representations, 2022

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training.

Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Tsinghua University.

Chen Zhang, Chenggang Zhao, Jiaao He, Shengqi Chen, Liyan Zheng, Kezhao Huang, Wentao Han, Jidong Zhai

IEEE Trans. Parallel Distributed Syst., 2021

A Fast Lock for Explicit Message Passing Architectures.

Xiongchao Tang, Chen Zhang, Jidong Zhai, Xuehai Qian, Wenguang Chen, Yong Jiang

IEEE Trans. Computers, 2021

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms.

Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2021

Boosting Mobile CNN Inference through Semantic Memory.

Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Dual-side Sparse Tensor Core.

Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

HyQuas: hybrid partitioner based quantum circuit simulation system on GPU.

Chen Zhang, Zeyu Song, Haojie Wang, Kaiyuan Rong, Jidong Zhai

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020

Deeper Insights into Weight Sharing in Neural Architecture Search.

Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang

CoRR, 2020

SCYLLA: QoE-aware Continuous Mobile Vision with FPGA-based Dynamic Deep Neural Network Reconfiguration.

Shuang Jiang, Zhiyao Ma, Xiao Zeng, Chenren Xu, Mi Zhang, Chen Zhang, Yunxin Liu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression.

Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks.

Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Live Video Analytics with FPGA-based Smart Cameras.

Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu

Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges, 2019

Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity.

Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization.

Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Balanced Sparsity for Efficient DNN Inference on GPU.

Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Best-Effort FPGA Programming: A Few Steps Can Go a Long Way.

Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou

CoRR, 2018

2017

Using Data Compression for Optimizing FPGA-Based Convolutional Neural Network Accelerators.

Yijin Guan, Ningyi Xu, Chen Zhang, Zhihang Yuan, Jason Cong

Proceedings of the Advanced Parallel Processing Technologies, 2017

2016

Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster.

Chen Zhang, Di Wu, Jiayu Sun, Guangyu Sun, Guojie Luo, Jason Cong

Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks.

Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

2015

Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks.

Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, Jason Cong

Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

2014

An efficient design and implementation of LSM-tree based key-value store on open-channel SSD.

Peng Wang, Guangyu Sun, Song Jiang, Jian Ouyang, Shiding Lin, Chen Zhang, Jason Cong

Proceedings of the Ninth Eurosys Conference 2014, 2014

2013

Automatic multidimensional memory partitioning for FPGA-based accelerators (abstract only).

Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang, Jason Cong

Proceedings of the 2013 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2013

Memory partitioning for multidimensional arrays in high-level synthesis.

Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang, Jason Cong

Proceedings of the 50th Annual Design Automation Conference 2013, 2013