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- affiliation: North Carolina State University, USA
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2020 – today
- 2024
[c152]Wei Niu
, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren:
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. ASPLOS (3) 2024: 916-931- [c151]Yushu Wu, Chao Wu, Geng Yuan, Yanyu Li, Weichao Guo, Jing Rao, Xipeng Shen, Bin Ren, Yanzhi Wang:
DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices. DATE 2024: 1-2 - [c150]Kezhao Huang, Jidong Zhai, Liyan Zheng, Haojie Wang, Yuyang Jin, Qihao Zhang, Runqing Zhang, Zhen Zheng, Youngmin Yi, Xipeng Shen:
WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations. EuroSys 2024: 1-17 - [c149]Yuanchao Xu, James Pangia, Chencheng Ye, Yan Solihin, Xipeng Shen:
Data Enclave: A Data-Centric Trusted Execution Environment. HPCA 2024: 218-232 - [c148]Xinning Hui, Yuanchao Xu, Zhishan Guo, Xipeng Shen:
ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs. HPDC 2024: 42-55 - [i24]Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren:
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. CoRR abs/2404.13528 (2024) - [i23]Xinning Hui, Yuanchao Xu, Zhishan Guo, Xipeng Shen:
ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs. CoRR abs/2404.16812 (2024) - 2023
- [j42]Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen:
Survey: Exploiting Data Redundancy for Optimization of Deep Learning. ACM Comput. Surv. 55(10): 212:1-212:38 (2023) - [j41]Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li:
Accelerating matrix-centric graph processing on GPUs through bit-level optimizations. J. Parallel Distributed Comput. 177: 53-67 (2023) - [j40]Zheng Chen, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, Xiaoyong Du:
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression. Proc. ACM Manag. Data 1(1): 4:1-4:31 (2023) - [j39]Guoqiang Zhang, Benjamin Mariano, Xipeng Shen, Isil Dillig:
Automated Translation of Functional Big Data Queries to SQL. Proc. ACM Program. Lang. 7(OOPSLA1): 580-608 (2023) - [j38]Feng Zhang, Ruofan Wu, Jiawei Guan, Zhen Zheng, Xiaoguang Guo, Xiao Zhang, Xiaoyong Du, Xipeng Shen:
Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device. IEEE Trans. Knowl. Data Eng. 35(10): 10181-10196 (2023) - [c147]Jiesong Liu, Feng Zhang, Jiawei Guan, Hsin-Hsuan Sung, Xiaoguang Guo, Xiaoyong Du, Xipeng Shen:
Space-Efficient TREC for Enabling Deep Learning on Microcontrollers. ASPLOS (3) 2023: 644-659 - [c146]Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin:
SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory. ASPLOS (2) 2023: 762-777 - [c145]Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin:
Reconciling Selective Logging and Hardware Persistent Memory Transaction. HPCA 2023: 664-676 - [c144]Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li:
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs. ICS 2023: 264-276 - [c143]Hsin-Hsuan Sung, Jou-An Chen, Wei Niu, Jiexiong Guan, Bin Ren, Xipeng Shen:
Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices. USENIX ATC 2023: 865-877 - [e6]Clark Verbrugge, Ondrej Lhoták, Xipeng Shen:
Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction, CC 2023, Montréal, QC, Canada, February 25-26, 2023. ACM 2023, ISBN 979-8-4007-0088-0 [contents] - [i22]Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li:
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs. CoRR abs/2305.02522 (2023) - [i21]Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu:
Efficient Large Language Models Fine-Tuning On Graphs. CoRR abs/2312.04737 (2023) - 2022
- [j37]Chencheng Ye, Yuanchao Xu, Xipeng Shen, Hai Jin, Xiaofei Liao, Yan Solihin:
Preserving Addressability Upon GC-Triggered Data Movements on Non-Volatile Memory. ACM Trans. Archit. Code Optim. 19(2): 28:1-28:26 (2022) - [j36]Nihat Mert Cicek, Lin Ning, Ozcan Ozturk, Xipeng Shen:
General Reuse-Centric CNN Accelerator. IEEE Trans. Computers 71(4): 880-891 (2022) - [j35]Nihat Mert Cicek, Xipeng Shen, Ozcan Ozturk:
Energy Efficient Boosting of GEMM Accelerators for DNN via Reuse. ACM Trans. Design Autom. Electr. Syst. 27(5): 43:1-43:26 (2022) - [j34]Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression. IEEE Trans. Parallel Distributed Syst. 33(2): 459-475 (2022) - [j33]Zaifeng Pan, Feng Zhang, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
Exploring Data Analytics Without Decompression on Embedded GPU Systems. IEEE Trans. Parallel Distributed Syst. 33(7): 1553-1568 (2022) - [j32]Tianpei Xia, Rui Shu, Xipeng Shen, Tim Menzies:
Sequential Model Optimization for Software Effort Estimation. IEEE Trans. Software Eng. 48(6): 1994-2009 (2022) - [j31]Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal, Rahul Yedida, Xipeng Shen, Tim Menzies:
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When? IEEE Trans. Software Eng. 48(8): 2939-2954 (2022) - [c142]Zifan Nan, Xipeng Shen, Hui Guan:
Enabling Near Real-Time NLU-Driven Natural Language Programming through Dynamic Grammar Graph-Based Translation. CGO 2022: 278-289 - [c141]Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen:
Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. ECSA (Tracks and Workshops) 2022: 402-417 - [c140]Yuanchao Xu, Chencheng Ye, Xipeng Shen, Yan Solihin:
Temporal Exposure Reduction Protection for Persistent Memory. HPCA 2022: 908-924 - [c139]Zifan Nan, Mithil Dave, Xipeng Shen, Chunhua Liao, Tristan Vanderbruggen, Pei-Hung Lin, Murali Emani:
Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC. HUST@SC 2022: 29-40 - [c138]Mitchell Young, Zifan Nan, Xipeng Shen:
IDE Augmented with Human-Learning Inspired Natural Language Programming. ICSE-Companion 2022: 110-114 - [c137]Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li:
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. IPDPS 2022: 515-525 - [c136]Yuanchao Xu, Chencheng Ye, Yan Solihin, Xipeng Shen:
FFCCD: fence-free crash-consistent concurrent defragmentation for persistent memory. ISCA 2022: 274-288 - [c135]Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren:
GCD2: A Globally Optimizing Compiler for Mapping DNNs to Mobile DSPs. MICRO 2022: 512-529 - [c134]Jiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen:
TREC: Transient Redundancy Elimination-based Convolution. NeurIPS 2022 - [c133]Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen:
Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. RTAS 2022: 297-300 - [c132]Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen:
DREW: Efficient Winograd CNN Inference with Deep Reuse. WWW 2022: 1807-1816 - [i20]Jou-An Chen, Hsin-Hsuan Sung, Nathan R. Tallent, Kevin J. Barker, Xipeng Shen, Ang Li:
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. CoRR abs/2201.08560 (2022) - [i19]Xiaofeng Li, Bin Ren, Xipeng Shen, Yanzhi Wang:
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework. CoRR abs/2206.10620 (2022) - [i18]Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen:
Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. CoRR abs/2208.05596 (2022) - [i17]Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen:
Survey: Exploiting Data Redundancy for Optimization of Deep Learning. CoRR abs/2208.13363 (2022) - [i16]Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari:
Towards Seamless Management of AI Models in High-Performance Computing. CoRR abs/2212.06352 (2022) - 2021
- [j30]Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao:
CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. Commun. ACM 64(6): 62-68 (2021) - [j29]Lijun Zhang, Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim:
Reuse-centric k-means configuration. Inf. Syst. 100: 101787 (2021) - [j28]Xipeng Shen, Guoqiang Zhang, Irene Dea, Samantha Andow, Emilio Arroyo-Fang, Neal Gafter, Johann George, Melissa Grueter, Erik Meijer, Olin Grigsby Shivers, Steffi Stumpos, Alanna Tempest, Christy Warden, Shannon Yang:
Coarsening optimization for differentiable programming. Proc. ACM Program. Lang. 5(OOPSLA): 1-27 (2021) - [j27]Guoqiang Zhang, Yuanchao Xu, Xipeng Shen, Isil Dillig:
UDF to SQL translation through compositional lazy inductive synthesis. Proc. ACM Program. Lang. 5(OOPSLA): 1-26 (2021) - [j26]Hui Guan, Xipeng Shen, Hamid Krim:
An Automatic Synthesizer of Advising Tools for High Performance Computing. IEEE Trans. Parallel Distributed Syst. 32(2): 330-341 (2021) - [j25]Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies:
How to "DODGE" Complex Software Analytics. IEEE Trans. Software Eng. 47(10): 2182-2194 (2021) - [j24]Feng Zhang, Jidong Zhai, Xipeng Shen, Dalin Wang, Zheng Chen, Onur Mutlu, Wenguang Chen, Xiaoyong Du:
TADOC: Text analytics directly on compression. VLDB J. 30(2): 163-188 (2021) - [c131]Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren:
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. AAAI 2021: 9179-9187 - [c130]Zifan Nan, Hui Guan, Xipeng Shen, Chunhua Liao:
Deep NLP-based co-evolvement for synthesizing code analysis from natural language. CC 2021: 141-152 - [c129]Guoqiang Zhang, Xipeng Shen:
Best-Effort Lazy Evaluation for Python Software Built on APIs. ECOOP 2021: 15:1-15:24 - [c128]Chencheng Ye, Yuanchao Xu, Xipeng Shen, Xiaofei Liao, Hai Jin, Yan Solihin:
Hardware-Based Address-Centric Acceleration of Key-Value Store. HPCA 2021: 736-748 - [c127]Feng Zhang, Zaifeng Pan, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression. ICDE 2021: 1679-1690 - [c126]Hui Guan, Umana Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen:
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone. ICDM 2021: 1078-1083 - [c125]Lin Ning, Guoyang Chen, Weifeng Zhang, Xipeng Shen:
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization. ICLR 2021 - [c124]Shuai Yang, Xipeng Shen, Seung-Hwan Lim:
Revisit the Scalability of Deep Auto-Regressive Models for Graph Generation. IJCNN 2021: 1-8 - [c123]Chencheng Ye, Yuanchao Xu, Xipeng Shen, Xiaofei Liao, Hai Jin, Yan Solihin:
Supporting Legacy Libraries on Non-Volatile Memory: A User-Transparent Approach. ISCA 2021: 443-455 - [c122]Yuanchao Xu, Mehmet Esat Belviranli, Xipeng Shen, Jeffrey S. Vetter:
PCCS: Processor-Centric Contention-aware Slowdown Model for Heterogeneous System-on-Chips. MICRO 2021: 1282-1295 - [c121]Gaurav Verma, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Barbara M. Chapman:
HPCFAIR: Enabling FAIR AI for HPC Applications. MLHPC@SC 2021: 58-68 - [c120]Chunhua Liao, Pei-Hung Lin, Gaurav Verma, Tristan Vanderbruggen, Murali Emani, Zifan Nan, Xipeng Shen:
HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing. MLHPC@SC 2021: 69-80 - [c119]Kezhao Huang, Jidong Zhai, Zhen Zheng, Youngmin Yi, Xipeng Shen:
Understanding and bridging the gaps in current GNN performance optimizations. PPoPP 2021: 119-132 - [c118]Ruofan Wu, Feng Zhang, Zhen Zheng, Xiaoyong Du, Xipeng Shen:
Exploring deep reuse in winograd CNN inference. PPoPP 2021: 483-484 - [c117]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin:
Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. RTAS 2021: 425-428 - [c116]Naveed Ul Mustafa, Yuanchao Xu, Xipeng Shen, Yan Solihin:
Seeds of SEED: New Security Challenges for Persistent Memory. SEED 2021: 83-88 - [c115]Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu:
Toward efficient interactions between Python and native libraries. ESEC/SIGSOFT FSE 2021: 1117-1128 - [i15]Jianfeng Chen, Xipeng Shen, Tim Menzies:
Faster SAT Solving for Software with Repeated Structures (with Case Studies on Software Test Suite Minimization). CoRR abs/2101.02817 (2021) - [i14]Feng Zhang, Zaifeng Pan, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression. CoRR abs/2106.06889 (2021) - [i13]Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu:
Toward Efficient Interactions between Python and Native Libraries. CoRR abs/2107.00064 (2021) - [i12]Xipeng Shen, Guoqiang Zhang, Irene Dea, Samantha Andow, Emilio Arroyo-Fang, Neal Gafter, Johann George, Melissa Grueter, Erik Meijer, Steffi Stumpos, Alanna Tempest, Christy Warden, Shannon Yang:
Coarsening Optimization for Differentiable Programming. CoRR abs/2110.02307 (2021) - [i11]Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen:
Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. CoRR abs/2110.06373 (2021) - 2020
- [j23]Hai Jin, Xipeng Shen, Róbert Lovas, Xiaofei Liao:
Special Issue: Graph Computing. Concurr. Comput. Pract. Exp. 32(3) (2020) - [j22]Xinyi Li, Lei Zhang, Xipeng Shen:
DIAC: An Inter-app Conflicts Detector for Open IoT Systems. ACM Trans. Embed. Comput. Syst. 19(6): 46:1-46:25 (2020) - [j21]Weijie Zhou, Yue Zhao, Xipeng Shen, Wang Chen:
Enabling Runtime SpMV Format Selection through an Overhead Conscious Method. IEEE Trans. Parallel Distributed Syst. 31(1): 80-93 (2020) - [c114]Chanyoung Oh, Zhen Zheng, Xipeng Shen, Jidong Zhai, Youngmin Yi:
GOPipe: A Granularity-Oblivious Programming Framework for Pipelined Stencil Executions on GPU. PACT 2020: 43-54 - [c113]Yuanchao Xu, Yan Solihin, Xipeng Shen:
MERR: Improving Security of Persistent Memory Objects via Efficient Memory Exposure Reduction and Randomization. ASPLOS 2020: 987-1000 - [c112]Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
Enabling Efficient Random Access to Hierarchically-Compressed Data. ICDE 2020: 1069-1080 - [c111]Ji Liu, Abdullah-Al Kafi, Xipeng Shen, Huiyang Zhou:
MKPipe: a compiler framework for optimizing multi-kernel workloads in OpenCL for FPGA. ICS 2020: 39:1-39:12 - [c110]Weijie Zhou, Yue Zhao, Guoqiang Zhang, Xipeng Shen:
HARP: holistic analysis for refactoring Python-based analytics programs. ICSE 2020: 506-517 - [c109]Yuanchao Xu, Chencheng Ye, Yan Solihin, Xipeng Shen:
Hardware-Based Domain Virtualization for Intra-Process Isolation of Persistent Memory Objects. ISCA 2020: 680-692 - [c108]Hui Guan, Laxmikant Kishor Mokadam, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton:
FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks. MLSys 2020 - [c107]Zifan Nan, Hui Guan, Xipeng Shen:
HISyn: human learning-inspired natural language programming. ESEC/SIGSOFT FSE 2020: 75-86 - [e5]José Nelson Amaral, Lizy Kurian John, Xipeng Shen:
ICPP 2020: 49th International Conference on Parallel Processing, Edmonton, AB, Canada, August 17-20, 2020. ACM 2020, ISBN 978-1-4503-8816-0 [contents] - [e4]Rajiv Gupta, Xipeng Shen:
PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, California, USA, February 22-26, 2020. ACM 2020, ISBN 978-1-4503-6818-6 [contents] - [i10]Ji Liu, Abdullah-Al Kafi, Xipeng Shen, Huiyang Zhou:
MKPipe: A Compiler Framework for Optimizing Multi-Kernel Workloads in OpenCL for FPGA. CoRR abs/2002.01614 (2020) - [i9]Shaoshan Liu, Bin Ren, Xipeng Shen, Yanzhi Wang:
CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way. CoRR abs/2003.06700 (2020) - [i8]Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren:
Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. CoRR abs/2007.09835 (2020) - [i7]Feng Zhang, Jidong Zhai, Xipeng Shen, Dalin Wang, Zheng Chen, Onur Mutlu, Wenguang Chen, Xiaoyong Du:
TADOC: Text Analytics Directly on Compression. CoRR abs/2009.09442 (2020) - [i6]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin:
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device. CoRR abs/2012.13801 (2020)
2010 – 2019
- 2019
- [c106]Zhen Zheng, Chanyoung Oh, Jidong Zhai, Xipeng Shen, Youngmin Yi, Wenguang Chen:
HiWayLib: A Software Framework for Enabling High Performance Communications for Heterogeneous Pipeline Computations. ASPLOS 2019: 153-166 - [c105]Shuai Yang, Xipeng Shen, Min Chi:
Streamline Density Peak Clustering for Practical Adoptions. CIKM 2019: 49-58 - [c104]Lin Ning, Hui Guan, Xipeng Shen:
Adaptive Deep Reuse: Accelerating CNN Training on the Fly. ICDE 2019: 1538-1549 - [c103]Lin Ning, Xipeng Shen:
Deep reuse: streamline CNN inference on the fly via coarse-grained computation reuse. ICS 2019: 438-448 - [c102]Xinyi Li, Lei Zhang, Xipeng Shen:
IA-graph based inter-app conflicts detection in open IoT systems. LCTES 2019: 135-147 - [c101]Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim:
In-Place Zero-Space Memory Protection for CNN. NeurIPS 2019: 5735-5744 - [c100]Hui Guan, Xipeng Shen, Seung-Hwan Lim:
Wootz: a compiler-based framework for fast CNN pruning via composability. PLDI 2019: 717-730 - [c99]Chanyoung Oh, Zhen Zheng, Xipeng Shen, Jidong Zhai, Youngmin Yi:
GOPipe: a granularity-oblivious programming framework for pipelined stencil executions on GPU. PPoPP 2019: 431-432 - [i5]Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies:
How to "DODGE" Complex Software Analytics? CoRR abs/1902.01838 (2019) - [i4]Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim:
In-Place Zero-Space Memory Protection for CNN. CoRR abs/1910.14479 (2019) - 2018
- [j20]Qi Zhu, Bo Wu, Xipeng Shen, Kai Shen, Li Shen, Zhiying Wang:
Resolving the GPU responsiveness dilemma through program transformations. Frontiers Comput. Sci. 12(3): 545-559 (2018) - [j19]Xipeng Shen, Róbert Lovas, Xiaofei Liao:
Editorial for the Special Issue on In-Memory Computing. J. Parallel Distributed Comput. 120: 322 (2018) - [j18]Lin Ning, Randall Pittman, Xipeng Shen:
LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine. Neural Networks 108: 399-410 (2018) - [j17]Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Wenguang Chen:
Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights. Proc. VLDB Endow. 11(11): 1522-1535 (2018) - [c98]Xipeng Shen:
Rethinking compilers in the rise of machine learning and AI (keynote). CC 2018: 1 - [c97]Shuai Yang, Xipeng Shen:
FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning. CIKM 2018: 67-76 - [c96]Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim:
Reuse-Centric K-Means Configuration. ICDE 2018: 1224-1227 - [c95]Shuai Yang, Xipeng Shen:
LEEM: Lean Elastic EM for Gaussian Mixture Model via Bounds-Based Filtering. ICDM 2018: 677-686 - [c94]Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Wenguang Chen:
Zwift: A Programming Framework for High Performance Text Analytics on Compressed Data. ICS 2018: 195-206 - [c93]Shizhen Xu, Yuanchao Xu, Wei Xue, Xipeng Shen, Fang Zheng, Xiaomeng Huang, Guangwen Yang:
Taming the "Monster": Overcoming Program Optimization Challenges on SW26010 Through Precise Performance Modeling. IPDPS 2018: 763-773 - [c92]