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- affiliation: North Carolina State University, USA
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2020 – today
- 2024
[j43]Jiesong Liu
, Feng Zhang, Jiawei Guan, Hsin-Hsuan Sung, Xiaoguang Guo, Saiqin Long, Xiaoyong Du, Xipeng Shen:
Enabling Efficient Deep Learning on MCU With Transient Redundancy Elimination. IEEE Trans. Computers 73(12): 2649-2663 (2024)- [c153]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 - [c152]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 - [c151]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 - [c150]Yuanchao Xu, James Pangia, Chencheng Ye, Yan Solihin, Xipeng Shen:
Data Enclave: A Data-Centric Trusted Execution Environment. HPCA 2024: 218-232 - [c149]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 - [c148]Jiesong Liu, Feng Zhang, Jiawei Guan, Xipeng Shen:
UQ-Guided Hyperparameter Optimization for Iterative Learners. NeurIPS 2024 - [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]Yue Zhao, Weijie Zhou, Xipeng Shen, Graham Yiu:
Overhead-Conscious Format Selection for SpMV-Based Applications. IPDPS 2018: 950-959 - [c91]Hao Luo, Guoyang Chen, Fangzhou Liu, Pengcheng Li, Chen Ding, Xipeng Shen:
Footprint modeling of cache associativity and granularity. MEMSYS 2018: 232-242 - [c90]Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen:
Bridging the gap between deep learning and sparse matrix format selection. PPoPP 2018: 94-108 - [c89]Randall Pittman, Hui Guan, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton:
Exploring flexible communications for streamlining DNN ensemble training pipelines. SC 2018: 64:1-64:12 - [e3]Xipeng Shen, James Tuck, Ricardo Bianchini, Vivek Sarkar:
Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2018, Williamsburg, VA, USA, March 24-28, 2018. ACM 2018, ISBN 978-1-4503-4911-6 [contents] - [i3]Tianpei Xia, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies:
Why Software Effort Estimation Needs SBSE. CoRR abs/1804.00626 (2018) - [i2]Tianpei Xia, Rahul Krishna, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies:
Hyperparameter Optimization for Effort Estimation. CoRR abs/1805.00336 (2018) - 2017
- [j16]Qi Zhu, Bo Wu, Xipeng Shen, Kai Shen, Li Shen, Zhiying Wang:
Understanding co-run performance on CPU-GPU integrated processors: observations, insights, directions. Frontiers Comput. Sci. 11(1): 130-146 (2017) - [j15]Yufei Ding, Xipeng Shen:
GLORE: generalized loop redundancy elimination upon LER-notation. Proc. ACM Program. Lang. 1(OOPSLA): 74:1-74:28 (2017) - [j14]Guoyang Chen, Xipeng Shen, Bo Wu, Dong Li:
Optimizing Data Placement on GPU Memory: A Portable Approach. IEEE Trans. Computers 66(3): 473-487 (2017) - [c88]Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen:
POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection. PACT 2017: 152-153 - [c87]Lin Ning, Randall Pittman, Xipeng Shen:
POSTER: Cutting the Fat: Speeding Up RBM for Fast Deep Learning Through Generalized Redundancy Elimination. PACT 2017: 154-155 - [c86]Guoyang Chen, Yufei Ding, Xipeng Shen:
Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity. ICDE 2017: 621-632 - [c85]Lin Ning, Randall Pittman, Xipeng Shen:
LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine. ICDM 2017: 1015-1020 - [c84]Qi Zhu, Bo Wu, Xipeng Shen, Li Shen, Zhiying Wang:
Co-Run Scheduling with Power Cap on Integrated CPU-GPU Systems. IPDPS 2017: 967-977 - [c83]Xipeng Shen:
Bridging the gap between memory performance and massive parallelism: the critical role of programming systems innovations (keynote). ISMM 2017: 1 - [c82]Guoyang Chen, Lei Zhang, Richa Budhiraja, Xipeng Shen, Youfeng Wu:
Efficient support of position independence on non-volatile memory. MICRO 2017: 191-203 - [c81]Zhen Zheng, Chanyoung Oh, Jidong Zhai, Xipeng Shen, Youngmin Yi, Wenguang Chen:
Versapipe: a versatile programming framework for pipelined computing on GPU. MICRO 2017: 587-599 - [c80]Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen:
Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction. PLDI 2017: 33-48 - [c79]Guoyang Chen, Yue Zhao, Xipeng Shen, Huiyang Zhou:
EffiSha: A Software Framework for Enabling Effficient Preemptive Scheduling of GPU. PPoPP 2017: 3-16 - [c78]Yue Zhao, Chunhua Liao, Xipeng Shen:
POSTER: An Infrastructure for HPC Knowledge Sharing and Reuse. PPoPP 2017: 461-462 - [c77]Hui Guan, Xipeng Shen, Hamid Krim:
Egeria: a framework for automatic synthesis of HPC advising tools through multi-layered natural language processing. SC 2017: 10 - 2016
- [j13]Wei Fu, Tim Menzies, Xipeng Shen:
Tuning for software analytics: Is it really necessary? Inf. Softw. Technol. 76: 135-146 (2016) - [j12]Mingzhou Zhou, Bo Wu, Xipeng Shen, Yaoqing Gao, Graham Yiu:
Examining and Reducing the Influence of Sampling Errors on Feedback-Driven Optimizations. ACM Trans. Archit. Code Optim. 13(1): 6:1-6:24 (2016) - [c76]Guoyang Chen, Huiyang Zhou, Xipeng Shen, Joshua Gahm, Narayan Venkat, Skip Booth, John Marshall:
OpenCL-based erasure coding on heterogeneous architectures. ASAP 2016: 33-40 - [c75]Xipeng Shen, Clark Verbrugge, Daniel Neilson, Arpith C. Jacob:
The workshop on compiler-driven performance. CASCON 2016: 312-315 - [c74]Yue Zhao, Guoyang Chen, Chunhua Liao, Xipeng Shen:
Towards Ontology-Based Program Analysis. ECOOP 2016: 26:1-26:25 - [c73]Guoyang Chen, Xipeng Shen:
Coherence-Free Multiview: Enabling Reference-Discerning Data Placement on GPU. ICS 2016: 14:1-14:13 - [c72]Hao Luo, Guoyang Chen, Pengcheng Li, Chen Ding, Xipeng Shen:
Data-centric combinatorial optimization of parallel code. PPoPP 2016: 38:1-38:2 - [e2]Xipeng Shen, Frank Mueller, James Tuck:
Languages and Compilers for Parallel Computing - 28th International Workshop, LCPC 2015, Raleigh, NC, USA, September 9-11, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9519, Springer 2016, ISBN 978-3-319-29777-4 [contents] - [i1]Wei Fu, Tim Menzies, Xipeng Shen:
Tuning for Software Analytics: is it Really Necessary? CoRR abs/1609.01759 (2016) - 2015
- [j11]Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen:
Enabling Portable Optimizations of Data Placement on GPU. IEEE Micro 35(4): 16-24 (2015) - [j10]Yufei Ding, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz:
TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems. Proc. VLDB Endow. 8(10): 1046-1057 (2015) - [c71]Zhijia Zhao, Xipeng Shen:
On-the-Fly Principled Speculation for FSM Parallelization. ASPLOS 2015: 619-630 - [c70]Ondrej Lhoták, Xipeng Shen, Ettore Tiotto, Martin Hirzel, Clark Verbrugge:
14th compiler-driven performance workshop. CASCON 2015: 310-312 - [c69]Qi Zhu, Meng Zhu, Bo Wu, Xipeng Shen, Kai Shen, Zhiying Wang:
Software Engagement with Sleeping CPUs. HotOS 2015 - [c68]Yufei Ding, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz:
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup. ICML 2015: 579-587 - [c67]Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter:
Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations. ICS 2015: 119-130 - [c66]Guoyang Chen, Xipeng Shen:
Free launch: optimizing GPU dynamic kernel launches through thread reuse. MICRO 2015: 407-419 - [c65]Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe:
Autotuning algorithmic choice for input sensitivity. PLDI 2015: 379-390 - [c64]Chunhua Liao, Pei-Hung Lin, Daniel J. Quinlan, Yue Zhao, Xipeng Shen:
Enhancing domain specific language implementations through ontology. WOLFHPC@SC 2015: 3:1-3:9 - 2014
- [c63]Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter:
SM-centric transformation: circumventing hardware restrictions for flexible GPU scheduling. PACT 2014: 497-498 - [c62]Zhijia Zhao, Bo Wu, Xipeng Shen:
Challenging the "embarrassingly sequential": parallelizing finite state machine-based computations through principled speculation. ASPLOS 2014: 543-558 - [c61]Yufei Ding, Mingzhou Zhou, Zhijia Zhao, Sarah Eisenstat, Xipeng Shen:
Finding the limit: examining the potential and complexity of compilation scheduling for JIT-based runtime systems. ASPLOS 2014: 607-622 - [c60]Zhijia Zhao, Mingzhou Zhou, Xipeng Shen:
SatScore: uncovering and avoiding a principled pitfall in responsiveness measurements of app launches. UbiComp 2014: 21-32 - [c59]Wenwen Wang, Zhenjiang Wang, Chenggang Wu, Pen-Chung Yew, Xipeng Shen, Xiang Yuan, Jianjun Li, Xiaobing Feng, Yong Guan:
Localization of concurrency bugs using shared memory access pairs. ASE 2014: 611-622 - [c58]Qi Zhu, Bo Wu, Xipeng Shen, Li Shen, Zhiying Wang:
Understanding Co-run Degradations on Integrated Heterogeneous Processors. LCPC 2014: 82-97 - [c57]Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen:
PORPLE: An Extensible Optimizer for Portable Data Placement on GPU. MICRO 2014: 88-100 - [c56]Zhijia Zhao, Bo Wu, Mingzhou Zhou, Yufei Ding, Jianhua Sun, Xipeng Shen, Youfeng Wu:
Call sequence prediction through probabilistic calling automata. OOPSLA 2014: 745-762 - [c55]Mingzhou Zhou, Xipeng Shen, Yaoqing Gao, Graham Yiu:
Space-efficient multi-versioning for input-adaptive feedback-driven program optimizations. OOPSLA 2014: 763-776 - 2013
- [j9]Xipeng Shen, Yixun Liu, Eddy Z. Zhang, Poornima Bhamidipati:
An Infrastructure for Tackling Input-Sensitivity of GPU Program Optimizations. Int. J. Parallel Program. 41(6): 855-869 (2013) - [j8]Zhijia Zhao, Michael Bebenita, Dave Herman, Jianhua Sun, Xipeng Shen:
HPar: A practical parallel parser for HTML-taming HTML complexities for parallel parsing. ACM Trans. Archit. Code Optim. 10(4): 44:1-44:25 (2013) - [c54]Bin Wang, Bo Wu, Dong Li, Xipeng Shen, Weikuan Yu, Yizheng Jiao, Jeffrey S. Vetter:
Exploring hybrid memory for GPU energy efficiency through software-hardware co-design. PACT 2013: 93-102 - [c53]Mingzhou Zhou, Bo Wu, Yufei Ding, Xipeng Shen:
Profmig: A framework for flexible migration of program profiles across software versions. CGO 2013: 17:1-17:12 - [c52]Bo Wu, Mingzhou Zhou, Xipeng Shen, Yaoqing Gao, Raúl Silvera, Graham Yiu:
Simple Profile Rectifications Go a Long Way - Statistically Exploring and Alleviating the Effects of Sampling Errors for Program Optimizations. ECOOP 2013: 654-678 - [c51]Bin Wang, Yizheng Jiao, Weikuan Yu, Xipeng Shen, Dong Li, Jeffrey S. Vetter:
A Versatile Performance and Energy Simulation Tool for Composite GPU Global Memory. MASCOTS 2013: 298-302 - [c50]Xipeng Shen:
Do computer programs have to be as dumb as they are?: input-centric dynamic program optimizations. VMIL@SPLASH 2013: 41-42 - [c49]Bo Wu, Weilin Wang, Xipeng Shen:
Software-level scheduling to exploit non-uniformly shared data cache on GPGPU. MSPC@PLDI 2013: 10:1-10:2 - [c48]Bo Wu, Zhijia Zhao, Eddy Zheng Zhang, Yunlian Jiang, Xipeng Shen:
Complexity analysis and algorithm design for reorganizing data to minimize non-coalesced memory accesses on GPU. PPoPP 2013: 57-68 - 2012
- [j7]Eddy Z. Zhang, Yunlian Jiang, Xipeng Shen:
The Significance of CMP Cache Sharing on Contemporary Multithreaded Applications. IEEE Trans. Parallel Distributed Syst. 23(2): 367-374 (2012) - [c47]Zhijia Zhao, Bo Wu, Xipeng Shen:
Speculative parallelization needs rigor: probabilistic analysis for optimal speculation of finite-state machine applications. PACT 2012: 433-434 - [c46]Ziyu Guo, Bo Wu, Xipeng Shen:
One stone two birds: synchronization relaxation and redundancy removal in GPU-CPU translation. ICS 2012: 25-36 - [c45]Kai Tian, Yunlian Jiang, Xipeng Shen, Weizhen Mao:
Optimal Co-Scheduling to Minimize Makespan on Chip Multiprocessors. JSSPP 2012: 114-133 - [c44]Bo Wu, Zhijia Zhao, Xipeng Shen, Yunlian Jiang, Yaoqing Gao, Raúl Silvera:
Exploiting inter-sequence correlations for program behavior prediction. OOPSLA 2012: 851-866 - [c43]Eddy Z. Zhang, Han Li, Xipeng Shen:
A study towards optimal data layout for GPU computing. MSPC 2012: 72-73 - 2011
- [j6]Yunlian Jiang, Kai Tian, Xipeng Shen, Jinghe Zhang, Jie Chen, Rahul Tripathi:
The Complexity of Optimal Job Co-Scheduling on Chip Multiprocessors and Heuristics-Based Solutions. IEEE Trans. Parallel Distributed Syst. 22(7): 1192-1205 (2011) - [c42]Bo Wu, Eddy Z. Zhang, Xipeng Shen:
Enhancing Data Locality for Dynamic Simulations through Asynchronous Data Transformations and Adaptive Control. PACT 2011: 243-252 - [c41]Ziyu Guo, Eddy Zheng Zhang, Xipeng Shen:
Correctly Treating Synchronizations in Compiling Fine-Grained SPMD-Threaded Programs for CPU. PACT 2011: 310-319 - [c40]Eddy Z. Zhang, Yunlian Jiang, Ziyu Guo, Kai Tian, Xipeng Shen:
On-the-fly elimination of dynamic irregularities for GPU computing. ASPLOS 2011: 369-380 - [c39]Ziyu Guo, Xipeng Shen:
Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation. LCPC 2011: 171-184 - [c38]Kai Tian, Eddy Z. Zhang, Xipeng Shen:
A step towards transparent integration of input-consciousness into dynamic program optimizations. OOPSLA 2011: 445-462 - [e1]Jeffrey S. Vetter, Madanlal Musuvathi, Xipeng Shen:
Proceedings of the 2011 ACM SIGPLAN workshop on Memory Systems Performance and Correctness: held in conjunction with PLDI '11, San Jose, CA, USA, June 5, 2011. ACM 2011, ISBN 978-1-4503-0794-9 [contents] - 2010
- [c37]Yunlian Jiang, Eddy Z. Zhang, Kai Tian, Xipeng Shen:
Is Reuse Distance Applicable to Data Locality Analysis on Chip Multiprocessors? CC 2010: 264-282 - [c36]Yunlian Jiang, Eddy Z. Zhang, Kai Tian, Feng Mao, Malcom Gethers, Xipeng Shen, Yaoqing Gao:
Exploiting statistical correlations for proactive prediction of program behaviors. CGO 2010: 248-256 - [c35]Yunlian Jiang, Kai Tian, Xipeng Shen:
Combining Locality Analysis with Online Proactive Job Co-scheduling in Chip Multiprocessors. HiPEAC 2010: 201-215 - [c34]Eddy Z. Zhang, Yunlian Jiang, Ziyu Guo, Xipeng Shen:
Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping. ICS 2010: 115-126 - [c33]Yunlian Jiang, Eddy Z. Zhang, Xipeng Shen, Yaoqing Gao, Roch Archambault:
Array Regrouping on CMP with Non-uniform Cache Sharing. LCPC 2010: 92-105 - [c32]Feng Mao, Xipeng Shen:
LU Decomposition on Cell Broadband Engine: An Empirical Study to Exploit Heterogeneous Chip Multiprocessors. NPC 2010: 61-75 - [c31]Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng Shen:
An input-centric paradigm for program dynamic optimizations. OOPSLA 2010: 125-139 - [c30]Eddy Z. Zhang, Yunlian Jiang, Xipeng Shen:
Does cache sharing on modern CMP matter to the performance of contemporary multithreaded programs? PPoPP 2010: 203-212
2000 – 2009
- 2009
- [j5]Xipeng Shen, Feng Mao, Kai Tian, Eddy Z. Zhang:
The study and handling of program inputs in the selection of garbage collectors. ACM SIGOPS Oper. Syst. Rev. 43(3): 48-61 (2009) - [j4]Yutao Zhong, Xipeng Shen, Chen Ding:
Program locality analysis using reuse distance. ACM Trans. Program. Lang. Syst. 31(6): 20:1-20:39 (2009) - [c29]Kai Tian, Yunlian Jiang, Xipeng Shen:
A study on optimally co-scheduling jobs of different lengths on chip multiprocessors. Conf. Computing Frontiers 2009: 41-50 - [c28]Feng Mao, Xipeng Shen:
Cross-Input Learning and Discriminative Prediction in Evolvable Virtual Machines. CGO 2009: 92-101 - [c27]Yunlian Jiang, Feng Mao, Xipeng Shen:
Speculation with Little Wasting: Saving Cost in Software Speculation through Transparent Learning. ICPADS 2009: 543-550 - [c26]Yixun Liu, Eddy Z. Zhang, Xipeng Shen:
A cross-input adaptive framework for GPU program optimizations. IPDPS 2009: 1-10 - [c25]Feng Mao, Eddy Z. Zhang, Xipeng Shen:
Influence of program inputs on the selection of garbage collectors. VEE 2009: 91-100 - 2008
- [c24]Yunlian Jiang, Xipeng Shen, Jie Chen, Rahul Tripathi:
Analysis and approximation of optimal co-scheduling on chip multiprocessors. PACT 2008: 220-229 - [c23]Yunlian Jiang, Xipeng Shen:
Exploration of the Influence of Program Inputs on CMP Co-scheduling. Euro-Par 2008: 263-273 - [c22]Yunlian Jiang, Xipeng Shen:
Adaptive Software Speculation for Enhancing the Cost-Efficiency of Behavior-Oriented Parallelization. ICPP 2008: 270-278 - [c21]Yunlian Jiang, Xipeng Shen:
Adaptive speculation in behavior-oriented parallelization. IPDPS 2008: 1-5 - [c20]Xipeng Shen, Jonathan Shaw:
Scalable Implementation of Efficient Locality Approximation. LCPC 2008: 202-216 - 2007
- [j3]Xipeng Shen, Yutao Zhong, Chen Ding:
Predicting locality phases for dynamic memory optimization. J. Parallel Distributed Comput. 67(7): 783-796 (2007) - [j2]Yutao Zhong, Steven G. Dropsho, Xipeng Shen, Ahren Studer, Chen Ding:
Miss Rate Prediction Across Program Inputs and Cache Configurations. IEEE Trans. Computers 56(3): 328-343 (2007) - [c19]Xipeng Shen, Feng Mao:
Bridging Inputs and Program Dynamic Behavior. PACT 2007: 426 - [c18]Xipeng Shen, Michael L. Scott, Chengliang Zhang, Sandhya Dwarkadas, Chen Ding, Mitsunori Ogihara:
Analysis of input-dependent program behavior using active profiling. Experimental Computer Science 2007: 5 - [c17]Tongxin Bai, Xipeng Shen, Chengliang Zhang, William N. Scherer III, Chen Ding, Michael L. Scott:
A Key-based Adaptive Transactional Memory Executor. IPDPS 2007: 1-8 - [c16]Xipeng Shen, Feng Mao:
Modeling Relations between Inputs and Dynamic Behavior for General Programs. LCPC 2007: 202-216 - [c15]Chen Ding, Xipeng Shen, Kirk Kelsey, Chris Tice, Ruke Huang, Chengliang Zhang:
Software behavior oriented parallelization. PLDI 2007: 223-234 - [c14]Xipeng Shen, Jonathan Shaw, Brian Meeker, Chen Ding:
Locality approximation using time. POPL 2007: 55-61 - 2006
- [c13]Chengliang Zhang, Kirk Kelsey, Xipeng Shen, Chen Ding, Matthew Hertz, Mitsunori Ogihara:
Program-level adaptive memory management. ISMM 2006: 174-183 - 2005
- [c12]Chen Ding, Chengliang Zhang, Xipeng Shen, Mitsunori Ogihara:
Gated memory control for memory monitoring, leak detection and garbage collection. Memory System Performance 2005: 62-67 - [c11]Xipeng Shen, Yaoqing Gao, Chen Ding, Roch Archambault:
Lightweight reference affinity analysis. ICS 2005: 131-140 - [c10]Xipeng Shen, Chen Ding:
Parallelization of Utility Programs Based on Behavior Phase Analysis. LCPC 2005: 425-432 - 2004
- [j1]Matthew R. Boutell, Jiebo Luo, Xipeng Shen, Christopher M. Brown:
Learning multi-label scene classification. Pattern Recognit. 37(9): 1757-1771 (2004) - [c9]Xipeng Shen, Yutao Zhong, Chen Ding:
Locality phase prediction. ASPLOS 2004: 165-176 - [c8]Xipeng Shen, Chen Ding:
Adaptive Data Partition for Sorting Using Probability Distribution. ICPP 2004: 250-257 - [c7]Xipeng Shen, Yutao Zhong, Chen Ding:
Phase-Based Miss Rate Prediction Across Program Inputs. LCPC 2004: 42-55 - [c6]Yutao Zhong, Maksim Orlovich, Xipeng Shen, Chen Ding:
Array regrouping and structure splitting using whole-program reference affinity. PLDI 2004: 255-266 - [c5]Xipeng Shen, Matthew R. Boutell, Jiebo Luo, Christopher M. Brown:
Multilabel machine learning and its application to semantic scene classification. Storage and Retrieval Methods and Applications for Multimedia 2004: 188-199 - 2003
- [c4]Yutao Zhong, Xipeng Shen, Chen Ding:
A Hierarchical Model of Reference Affinity. LCPC 2003: 48-63 - 2001
- [c3]Xipeng Shen, Bo Xu:
Study and auto-detection of stress based on tonal pitch range in Mandarin. INTERSPEECH 2001: 123-126 - [c2]Xipeng Shen, Bo Xu:
The study of the effect of training set on statistical language modeling. INTERSPEECH 2001: 721-724 - 2000
- [c1]Xipeng Shen, Bo Xu:
A CART-Based Hierarchical Stochastic Model for Prosodic Phrasing in Chinese. ISCSLP 2000
Coauthor Index
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