Zhiru Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 147

Top Venues

Publications

Jordan Dotzel, Bahaa Kotb, James Dotzel, Mohamed S. Abdelfattah, Zhiru Zhang
Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel. Tiny Papers @ ICLR (2024)
Chenhui Deng, Zichao Yue, Zhiru Zhang
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. CoRR (2024)
Jordan Dotzel, Yuzong Chen, Bahaa Kotb, Sushma Prasad, Gang Wu, Sheng Li, Mohamed S. Abdelfattah, Zhiru Zhang
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs. CoRR (2024)
Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training. ASPLOS (2) (2024)
Yueying Li, Nikita Lazarev, David Koufaty, Tenny Yin, Andy Anderson, Zhiru Zhang, G. Edward Suh, Kostis Kaffes, Christina Delimitrou
LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling. HPCA (2024)
Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi Yu
Differentiable Combinatorial Scheduling at Scale. CoRR (2024)
Courtney Golden, Dan Ilan, Caroline Huang, Niansong Zhang, Zhiru Zhang, Christopher Batten
Supporting a Virtual Vector Instruction Set on a Commercial Compute-in-SRAM Accelerator. IEEE Comput. Archit. Lett. 23 (1) (2024)
Jordan Dotzel, Yash Akhauri, Ahmed S. AbouElhamayed, Carly Jiang, Mohamed S. Abdelfattah, Zhiru Zhang
Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models. CoRR (2024)
Jie Liu, Zhongyuan Zhao, Zijian Ding, Benjamin Brock, Hongbo Rong, Zhiru Zhang
UniSparse: An Intermediate Language for General Sparse Format Customization. CoRR (2024)
Wuxinlin Cheng, Chenhui Deng, Ali Aghdaei, Zhiru Zhang, Zhuo Feng
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds. CoRR (2024)
Dai Cheol Jung, Max Ruttenberg, Paul Gao, Scott Davidson, Daniel Petrisko, Kangli Li, Aditya K. Kamath, Lin Cheng, Shaolin Xie, Peitian Pan, Zhongyuan Zhao, Zichao Yue, Bandhav Veluri, Sripathi Muralitharan, Adrian Sampson, Andrew Lumsdaine, Zhiru Zhang, Christopher Batten, Mark Oskin, Dustin Richmond, Michael Bedford Taylor
Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore. ISCA (2024)
Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. CoRR (2024)
Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. CoRR (2024)
Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs. FPGA (2024)
Jie Liu, Zhongyuan Zhao, Zijian Ding, Benjamin Brock, Hongbo Rong, Zhiru Zhang
UniSparse: An Intermediate Language for General Sparse Format Customization. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Hongzheng Chen, Niansong Zhang, Shaojie Xiang, Zhichen Zeng, Mengjia Dai, Zhiru Zhang
Allo: A Programming Model for Composable Accelerator Design. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Dingyi Dai, Yichi Zhang, Jiahao Zhang, Zhanqiu Hu, Yaohui Cai, Qi Sun, Zhiru Zhang
Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs. CoRR (2024)
Louis-Noël Pouchet, Emily Tucker, Niansong Zhang, Hongzheng Chen, Debjit Pal, Gabriel Rodríguez, Zhiru Zhang
Formal Verification of Source-to-Source Transformations for HLS. FPGA (2024)
Jordan Dotzel, Bahaa Kotb, James Dotzel, Mohamed S. Abdelfattah, Zhiru Zhang
Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel. CoRR (2024)
Nikita Lazarev, Varun Gohil, James Tsai, Andy Anderson, Bhushan Chitlur, Zhiru Zhang, Christina Delimitrou
Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs. OSDI (2024)
Chenhui Deng, Zichao Yue, Zhiru Zhang
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. ICLR (2024)
Hongzheng Chen, Niansong Zhang, Shaojie Xiang, Zhichen Zeng, Mengjia Dai, Zhiru Zhang
Allo: A Programming Model for Composable Accelerator Design. CoRR (2024)
Ruirong Huang, Zichao Yue, Caroline Huang, Janarbek Matai, Zhiru Zhang
Comprehensive Benchmarking of Binary Neural Networks on NVM Crossbar Architectures. CoRR (2023)
Nikita Lazarev, Tao Ji, Anuj Kalia, Daehyeok Kim, Ilias Marinos, Francis Y. Yan, Christina Delimitrou, Zhiru Zhang, Aditya Akella
Resilient Baseband Processing in Virtualized RANs with Slingshot. SIGCOMM (2023)
Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu
Special Session: Machine Learning for Embedded System Design. CODES+ISSS (2023)
Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S. Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G. Dixon, Norman P. Jouppi, Quoc V. Le, Sheng Li
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search. CoRR (2023)
Yueying Li, Nikita Lazarev, David Koufaty, Yijun Yin, Andy Anderson, Zhiru Zhang, G. Edward Suh, Kostis Kaffes, Christina Delimitrou
Towards Fast, Adaptive, and Hardware-Assisted User-Space Scheduling. CoRR (2023)
Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
Binarized Neural Machine Translation. CoRR (2023)
Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
Binarized Neural Machine Translation. NeurIPS (2023)
Zhiru Zhang, Matthew Hofmann, Andrew Butt
A Case for Open EDA Verticals. ISPD (2023)
Ecenur Ustun, Cunxi Yu, Zhiru Zhang
Equality Saturation for Datapath Synthesis: A Pathway to Pareto Optimality. DAC (2023)
Shreyas Kolala Venkataramanaiah, Jian Meng, Han-Sok Suh, Injune Yeo, Jyotishman Saikia, Sai Kiran Cherupally, Yichi Zhang, Zhiru Zhang, Jae-Sun Seo
A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity. IEEE J. Solid State Circuits 58 (7) (2023)
Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design. ACM Trans. Reconfigurable Technol. Syst. 16 (4) (2023)
Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference. CoRR (2023)
Licheng Guo, Pongstorn Maidee, Yun Zhou, Chris Lavin, Eddie Hung, Wuxi Li, Jason Lau, Weikang Qiao, Yuze Chi, Linghao Song, Yuanlong Xiao, Alireza Kaviani, Zhiru Zhang, Jason Cong
RapidStream 2.0: Automated Parallel Implementation of Latency-Insensitive FPGA Designs Through Partial Reconfiguration. ACM Trans. Reconfigurable Technol. Syst. 16 (4) (2023)
Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
Decoupled Model Schedule for Deep Learning Training. CoRR (2023)
Weizhe Hua, Zhiru Zhang, G. Edward Suh
Reverse-Engineering CNN Models Using Side-Channel Attacks. IEEE Des. Test 39 (4) (2022)
Licheng Guo, Pongstorn Maidee, Yun Zhou, Chris Lavin, Jie Wang, Yuze Chi, Weikang Qiao, Alireza Kaviani, Zhiru Zhang, Jason Cong
RapidStream: Parallel Physical Implementation of FPGA HLS Designs. FPGA (2022)
Ecenur Ustun, Ismail San, Jiaqi Yin, Cunxi Yu, Zhiru Zhang
IMpress: Large Integer Multiplication Expression Rewriting for FPGA HLS. FCCM (2022)
Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design. CoRR (2022)
Lin Cheng, Peitian Pan, Zhongyuan Zhao, Krithik Ranjan, Jack Weber, Bandhav Veluri, Seyed Borna Ehsani, Max Ruttenberg, Dai Cheol Jung, Preslav Ivanov, Dustin Richmond, Michael B. Taylor, Zhiru Zhang, Christopher Batten
A Tensor Processing Framework for CPU-Manycore Heterogeneous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (6) (2022)
Muhammad Umar, Weizhe Hua, Zhiru Zhang, G. Edward Suh
SoftVN: efficient memory protection via software-provided version numbers. ISCA (2022)
Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh
MGX: near-zero overhead memory protection for data-intensive accelerators. ISCA (2022)
Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. LoG (2022)
Tao Yu, Yichi Zhang, Zhiru Zhang, Christopher De Sa
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning. CoRR (2022)
Yichi Zhang, Zhiru Zhang, Lukasz Lew
PokeBNN: A Binary Pursuit of Lightweight Accuracy. CVPR (2022)
Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. CoRR (2022)
Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh
GuardNN: secure accelerator architecture for privacy-preserving deep learning. DAC (2022)
Shaojie Xiang, Yi-Hsiang Lai, Yuan Zhou, Hongzheng Chen, Niansong Zhang, Debjit Pal, Zhiru Zhang
HeteroFlow: An Accelerator Programming Model with Decoupled Data Placement for Software-Defined FPGAs. FPGA (2022)
Tao Yu, Yichi Zhang, Zhiru Zhang, Christopher De Sa
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning. NeurIPS (2022)
Jiaqi Yin, Zhiru Zhang, Cunxi Yu
Exact Memory- and Communication-aware Scheduling of DNNs on Pipelined Edge TPUs. SEC (2022)
Jason Cong, Jason Lau, Gai Liu, Stephen Neuendorffer, Peichen Pan, Kees A. Vissers, Zhiru Zhang
FPGA HLS Today: Successes, Challenges, and Opportunities. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Yuwei Hu, Jiajie Li, Zhongming Yu, Zhiru Zhang
Benchmarking GNN-Based Recommender Systems on Intel Optane Persistent Memory. CoRR (2022)
Shreyas Kolala Venkataramanaiah, Jian Meng, Han-Sok Suh, Injune Yeo, Jyotishman Saikia, Sai Kiran Cherupally, Yichi Zhang, Zhiru Zhang, Jae-sun Seo
A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification. ESSCIRC (2022)
Yixiao Du, Yuwei Hu, Zhongchun Zhou, Zhiru Zhang
High-Performance Sparse Linear Algebra on HBM-Equipped FPGAs Using HLS: A Case Study on SpMV. FPGA (2022)
Yaohui Cai, Weizhe Hua, Hongzheng Chen, G. Edward Suh, Christopher De Sa, Zhiru Zhang
Structured Pruning is All You Need for Pruning CNNs at Initialization. CoRR (2022)
Debjit Pal, Yi-Hsiang Lai, Shaojie Xiang, Niansong Zhang, Hongzheng Chen, Jeremy Casas, Pasquale Cocchini, Zhenkun Yang, Jin Yang, Louis-Noël Pouchet, Zhiru Zhang
Accelerator design with decoupled hardware customizations: benefits and challenges: invited. DAC (2022)
Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra
Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. FMCAD (2021)
Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining. CoRR (2021)
Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design. CoRR (2021)
Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. CoRR (2021)
Mark Buckler, Neil Adit, Yuwei Hu, Zhiru Zhang, Adrian Sampson
Dense Pruning of Pointwise Convolutions in the Frequency Domain. CoRR (2021)
Jiajia Jiao, Debjit Pal, Chenhui Deng, Zhiru Zhang
GLAIVE: Graph Learning Assisted Instruction Vulnerability Estimation. DATE (2021)
Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign. IEEE Des. Test 38 (4) (2021)
Nikita Lazarev, Shaojie Xiang, Neil Adit, Zhiru Zhang, Christina Delimitrou
Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs. CoRR (2021)
Luca Benini, Deming Chen, Jinjun Xiong, Zhiru Zhang
Guest Editors' Introduction: Machine Intelligence at the Edge. IEEE Des. Test 38 (4) (2021)
Yuwei Hu, Yixiao Du, Ecenur Ustun, Zhiru Zhang
GraphLily: Accelerating Graph Linear Algebra on HBM-Equipped FPGAs. ICCAD (2021)
Daehyeok Kim, Nikita Lazarev, Tommy Tracy II, Farzana Siddique, Hun Namkung, James C. Hoe, Vyas Sekar, Kevin Skadron, Zhiru Zhang, Srinivasan Seshan
A Roadmap for Enabling a Future-Proof In-Network Computing Data Plane Ecosystem. CoRR (2021)
Yichi Zhang, Zhiru Zhang, Lukasz Lew
PokeBNN: A Binary Pursuit of Lightweight Accuracy. CoRR (2021)
Licheng Guo, Yuze Chi, Jie Wang, Jason Lau, Weikang Qiao, Ecenur Ustun, Zhiru Zhang, Jason Cong
AutoBridge: Coupling Coarse-Grained Floorplanning and Pipelining for High-Frequency HLS Design on Multi-Die FPGAs. FPGA (2021)
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jonata T. Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE (2021)
Xiaohan Gao, Chenhui Deng, Mingjie Liu, Zhiru Zhang, David Z. Pan, Yibo Lin
Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks. ASP-DAC (2021)
Yuan Zhou, Hanyu Wang, Jieming Yin, Zhiru Zhang
Distilling Arbitration Logic from Traces using Machine Learning: A Case Study on NoC. DAC (2021)
Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. ICML (2021)
Yi-Hsiang Lai, Ecenur Ustun, Shaojie Xiang, Zhenman Fang, Hongbo Rong, Zhiru Zhang
Programming and Synthesis for Software-defined FPGA Acceleration: Status and Future Prospects. ACM Trans. Reconfigurable Technol. Syst. 14 (4) (2021)
Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining. NeurIPS (2021)
Nikita Lazarev, Shaojie Xiang, Neil Adit, Zhiru Zhang, Christina Delimitrou
Dagger: efficient and fast RPCs in cloud microservices with near-memory reconfigurable NICs. ASPLOS (2021)
Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. FPGA (2021)
Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra
Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. CoRR (2021)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. CoRR (2020)
Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, Jason Cong
Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency. DAC (2020)
Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh
GuardNN: Secure DNN Accelerator for Privacy-Preserving Deep Learning. CoRR (2020)
Nitish Kumar Srivastava, Hanchen Jin, Shaden Smith, Hongbo Rong, David H. Albonesi, Zhiru Zhang
Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations. HPCA (2020)
Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations. CoRR (2020)
Nikita Lazarev, Neil Adit, Shaojie Xiang, Zhiru Zhang, Christina Delimitrou
Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs. CoRR (2020)
Eshan Singh, Florian Lonsing, Saranyu Chattopadhyay, Maxwell Strange, Peng Wei, Xiaofan Zhang, Yuan Zhou, Deming Chen, Jason Cong, Priyanka Raina, Zhiru Zhang, Clark W. Barrett, Subhasish Mitra
A-QED Verification of Hardware Accelerators. DAC (2020)
Ecenur Ustun, Chenhui Deng, Debjit Pal, Zhijing Li, Zhiru Zhang
Accurate Operation Delay Prediction for FPGA HLS Using Graph Neural Networks. ICCAD (2020)
Rachit Nigam, Sachille Atapattu, Samuel Thomas, Zhijing Li, Theodore Bauer, Yuwei Ye, Apurva Koti, Adrian Sampson, Zhiru Zhang
Predictable Accelerator Design with Time-Sensitive Affine Types. CoRR (2020)
Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding. ICLR (2020)
Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations. ICLR (2020)
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Jr., Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jonata T. Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. CoRR (2020)
Yi-Hsiang Lai, Hongbo Rong, Size Zheng, Weihao Zhang, Xiuping Cui, Yunshan Jia, Jie Wang, Brendan Sullivan, Zhiru Zhang, Yun Liang, Youhui Zhang, Jason Cong, Nithin George, Jose Alvarez, Christopher J. Hughes, Pradeep Dubey
SuSy: A Programming Model for Productive Construction of High-Performance Systolic Arrays on FPGAs. ICCAD (2020)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: a flexible and efficient backend for graph neural network systems. SC (2020)
Rachit Nigam, Sachille Atapattu, Samuel Thomas, Zhijing Li, Theodore Bauer, Yuwei Ye, Apurva Koti, Adrian Sampson, Zhiru Zhang
Predictable accelerator design with time-sensitive affine types. PLDI (2020)
Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, Jason Cong
Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency. FPGA (2020)
Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh
MgX: Near-Zero Overhead Memory Protection with an Application to Secure DNN Acceleration. CoRR (2020)
Nitish Kumar Srivastava, Hanchen Jin, Jie Liu, David H. Albonesi, Zhiru Zhang
MatRaptor: A Sparse-Sparse Matrix Multiplication Accelerator Based on Row-Wise Product. MICRO (2020)
Nikita Lazarev, Neil Adit, Shaojie Xiang, Zhiru Zhang, Christina Delimitrou
Dagger: Towards Efficient RPCs in Cloud Microservices With Near-Memory Reconfigurable NICs. IEEE Comput. Archit. Lett. 19 (2) (2020)
Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. CoRR (2020)
Cunxi Yu, Zhiru Zhang
Painting on Placement: Forecasting Routing Congestion using Conditional Generative Adversarial Nets. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhiru Zhang