FlexBFS: a parallelism-aware implementation of breadth-first search on GPU. - Gu Liu; Hong An; Wenting Han; Xiaoqiang Li; Tao Sun; Wei Zhou; Xuechao Wei; Xulong Tang (PPoPP, 2012)

Optimizing off-chip accesses in multicores. - Wei Ding 008; Xulong Tang; Mahmut T. Kandemir; Yuanrui Zhang; Emre Kultursay (PLDI, 2015)

Memory Row Reuse Distance and its Role in Optimizing Application Performance. - Mahmut T. Kandemir; Hui Zhao 013; Xulong Tang; Mustafa Karaköy (SIGMETRICS, 2015)

μC-States: Fine-grained GPU Datapath Power Management. - Onur Kayiran; Adwait Jog; Ashutosh Pattnaik; Rachata Ausavarungnirun; Xulong Tang; Mahmut T. Kandemir; Gabriel H. Loh; Onur Mutlu; Chita R. Das (PACT, 2016)

Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities. - Ashutosh Pattnaik; Xulong Tang; Adwait Jog; Onur Kayiran; Asit K. Mishra; Mahmut T. Kandemir; Onur Mutlu; Chita R. Das (PACT, 2016)

Improving bank-level parallelism for irregular applications. - Xulong Tang; Mahmut T. Kandemir; Praveen Yedlapalli; Jagadish Kotra (MICRO, 2016)

POSTER: Location-Aware Computation Mapping for Manycore Processors. - Orhan Kislal; Jagadish Kotra; Xulong Tang; Mahmut Taylan Kandemir; Myoungsoo Jung (PACT, 2017)

Controlled Kernel Launch for Dynamic Parallelism in GPUs. - Xulong Tang; Ashutosh Pattnaik; Huaipan Jiang; Onur Kayiran; Adwait Jog; Sreepathi Pai; Mohamed Assem Ibrahim; Mahmut T. Kandemir; Chita R. Das (HPCA, 2017)

DEMM: A Dynamic Energy-Saving Mechanism for Multicore Memories. - Akbar Sharifi; Wei Ding 008; Diana R. Guttman; Hui Zhao 013; Xulong Tang; Mahmut T. Kandemir; Chita R. Das (MASCOTS, 2017)

Data movement aware computation partitioning. - Xulong Tang; Orhan Kislal; Mahmut T. Kandemir; Mustafa Karaköy (MICRO, 2017)

Quantifying and Optimizing Data Access Parallelism on Manycores. - Jihyun Ryoo; Orhan Kislal; Xulong Tang; Mahmut T. Kandemir (MASCOTS, 2018)

Enhancing computation-to-core assignment with physical location information. - Orhan Kislal; Jagadish Kotra; Xulong Tang; Mahmut Taylan Kandemir; Myoungsoo Jung (PLDI, 2018)

Oversubscribed Command Queues in GPUs. - Sooraj Puthoor; Xulong Tang; Joseph Gross; Bradford M. Beckmann (GPGPU@PPoPP, 2018)

Computing with Near Data. - Xulong Tang; Mahmut Taylan Kandemir; Hui Zhao 013; Myoungsoo Jung; Mustafa Karaköy (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Quantifying Data Locality in Dynamic Parallelism in GPUs. - Xulong Tang; Ashutosh Pattnaik; Onur Kayiran; Adwait Jog; Mahmut Taylan Kandemir; Chita R. Das (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications. - Jihyun Ryoo; Mengran Fan; Xulong Tang; Huaipan Jiang; Meena Arunachalam; Sharada Naveen; Mahmut T. Kandemir (HiPC, 2019)

Opportunistic computing in GPU architectures. - Ashutosh Pattnaik; Xulong Tang; Onur Kayiran; Adwait Jog; Asit K. Mishra; Mahmut T. Kandemir; Anand Sivasubramaniam; Chita R. Das (ISCA, 2019)

Co-optimizing memory-level parallelism and cache-level parallelism. - Xulong Tang; Mahmut Taylan Kandemir; Mustafa Karaköy; Meenakshi Arunachalam (PLDI, 2019)

Architecture-Aware Approximate Computing. - Mustafa Karaköy; Orhan Kislal; Xulong Tang; Mahmut Taylan Kandemir; Meenakshi Arunachalam (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Enhancing Address Translations in Throughput Processors via Compression. - Xulong Tang; Ziyu Zhang; Weizheng Xu; Mahmut Taylan Kandemir; Rami G. Melhem; Jun Yang 002 (PACT, 2020)

Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines. - Shasha Guo 001; Lianhua Qu; Lei Wang 011; Xulong Tang; Shuo Tian; Shiming Li; Weixia Xu (CoRR, 2020)

Enabling Latency-Aware Data Initialization for Integrated CPU/GPU Heterogeneous Platform. - Zhendong Wang; Zihang Jiang; Zhen Wang 019; Xulong Tang; Cong Liu 005; Shouyi Yin; Yang Hu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. - Yuxuan Cai 001; Hongjia Li; Geng Yuan; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren; Yanzhi Wang (AAAI, 2021)

A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. - Yuxuan Cai 001; Geng Yuan; Hongjia Li; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren; Yanzhi Wang (AAAI, 2021)

Towards a Secure Integrated Heterogeneous Platform via Cooperative CPU/GPU Encryption. - Zhendong Wang; Rujia Wang; Zihang Jiang; Xulong Tang; Shouyi Yin; Yang Hu 001 (ATS, 2021)

ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. - Weizheng Xu; Ashutosh Pattnaik; Geng Yuan; Yanzhi Wang; Youtao Zhang; Xulong Tang (ICCAD, 2021)

Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. - Fuxun Yu; Shawn Bray; Di Wang 003; Longfei Shangguan; Xulong Tang; Chenchen Liu; Xiang Chen 010 (ICCAD, 2021)

Improving Address Translation in Multi-GPUs via Sharing and Spilling aware TLB Design. - Bingyao Li; Jieming Yin; Youtao Zhang; Xulong Tang (MICRO, 2021)

Characterizing AI Model Inference Applications Running in the SGX Environment. - Shixiong Jing; Qinkun Bao; Pei Wang 007; Xulong Tang; Dinghao Wu (NAS, 2021)

Fluid: a framework for approximate concurrency via controlled dependency relaxation. - Huaipan Jiang; Haibo Zhang 005; Xulong Tang; Vineetha Govindaraj; Jack Sampson; Mahmut Taylan Kandemir; Danfeng Zhang (PLDI, 2021)

Distance-in-time versus distance-in-space. - Mahmut Taylan Kandemir; Xulong Tang; Hui Zhao 013; Jihyun Ryoo; Mustafa Karaköy (PLDI, 2021)

Compiler support for near data computing. - Mahmut Taylan Kandemir; Jihyun Ryoo; Xulong Tang; Mustafa Karaköy (PPoPP, 2021)

Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; Yanzhi Wang (RTAS, 2021)

Parallelizing DNN Training on GPUs: Challenges and Opportunities. - Weizheng Xu; Youtao Zhang; Xulong Tang (WWW (Companion Volume), 2021)

A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities. - Fuxun Yu; Di Wang 003; Longfei Shangguan; Minjia Zhang; Xulong Tang; Chenchen Liu; Xiang Chen 010 (CoRR, 2021)

Mix and Match: Reorganizing Tasks for Enhancing Data Locality. - Xulong Tang; Mahmut Taylan Kandemir; Mustafa Karaköy (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices. - Xinyi Zhang 001; Yawen Wu; Peipei Zhou 001; Xulong Tang; Jingtong Hu (ACM Trans. Embed. Comput. Syst., 2021)

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. - Geng Yuan; Sung-En Chang; Qing Jin; Alec Lu; Yanyu Li; Yushu Wu; Zhenglun Kong; Yanyue Xie; Peiyan Dong; Minghai Qin; Xiaolong Ma; Xulong Tang; et al. (ECCV (12), 2022)

Q-GPU: A Recipe of Optimizations for Quantum Circuit Simulation Using GPUs. - Yilun Zhao 002; Yanan Guo 002; Yuan Yao; Amanda Dumi; Devin M. Mulvey; Shiv Upadhyay; Youtao Zhang; Kenneth D. Jordan; Jun Yang 002; Xulong Tang (HPCA, 2022)

Fine-Granular Computation and Data Layout Reorganization for Improving Locality. - Mahmut T. Kandemir; Xulong Tang; Jagadish Kotra; Mustafa Karaköy (ICCAD, 2022)

Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing. - Yajuan Du; Mingyang Liu; Yuqi Yang; Mingzhe Zhang; Xulong Tang (ICCD, 2022)

Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. - Geng Yuan; Yanyu Li; Sheng Li 019; Zhenglun Kong; Sergey Tulyakov; Xulong Tang; Yanzhi Wang; Jian Ren 005 (NeurIPS, 2022)

Optimizing Data Layout for Training Deep Neural Networks. - Bingyao Li; Qi Xue; Geng Yuan; Sheng Li 019; Xiaolong Ma; Yanzhi Wang; Xulong Tang (WWW (Companion Volume), 2022)

Sustainable AI Processing at the Edge. - Sébastien Ollivier; Sheng Li 019; Yue Tang 002; Chayanika Chaudhuri; Peipei Zhou 001; Xulong Tang; Jingtong Hu; Alex K. Jones (CoRR, 2022)

Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System. - Zhendong Wang; Xiaoming Zeng; Xulong Tang; Danfeng Zhang; Xing Hu; Yang Hu 001 (CoRR, 2022)

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. - Yifan Gong 004; Geng Yuan; Zheng Zhan 001; Wei Niu 002; Zhengang Li; Pu Zhao 001; Yuxuan Cai 001; Sijia Liu 001; Bin Ren; Xue Lin 001; Xulong Tang; Yanzhi Wang (ACM Trans. Design Autom. Electr. Syst., 2022)

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Yanyu Li; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; et al. (ACM Trans. Embed. Comput. Syst., 2022)

An efficient segmented quantization for graph neural networks. - Yue Dai 005; Xulong Tang; Youtao Zhang (CCF Trans. High Perform. Comput., 2022)

Orchestrating Measurement-Based Quantum Computation over Photonic Quantum Processors. - Yingheng Li; Aditya Pawar; Mohadeseh Azari; Yanan Guo 002; Youtao Zhang; Jun Yang 002; Kaushik Parasuram Seshadreesan; Xulong Tang (DAC, 2023)

Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs. - Bingyao Li; Yueqi Wang; Xulong Tang (DAC, 2023)

EP-ORAM: Efficient NVM-Friendly Path Eviction for Ring ORAM in Hybrid Memory. - Mehrnoosh Raoufi; Jun Yang 002; Xulong Tang; Youtao Zhang (DAC, 2023)

CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks. - Yue Dai 005; Youtao Zhang; Xulong Tang (HPCA, 2023)

Trans-FW: Short Circuiting Page Table Walk in Multi-GPU Systems via Remote Forwarding. - Bingyao Li; Jieming Yin; Anup Holey; Youtao Zhang; Jun Yang 002; Xulong Tang (HPCA, 2023)

AB-ORAM: Constructing Adjustable Buckets for Space Reduction in Ring ORAM. - Mehrnoosh Raoufi; Jun Yang 002; Xulong Tang; Youtao Zhang (HPCA, 2023)

FlexGM: An Adaptive Runtime System to Accelerate Graph Matching Networks on GPUs. - Yue Dai 005; Xulong Tang; Youtao Zhang (ICCD, 2023)

SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. - Sheng Li 019; Geng Yuan; Yue Dai 005; Youtao Zhang; Yanzhi Wang; Xulong Tang (ICLR, 2023)

IDYLL: Enhancing Page Translation in Multi-GPUs via Light Weight PTE Invalidations. - Bingyao Li; Yanan Guo 002; Yueqi Wang; Aamer Jaleel; Jun Yang 002; Xulong Tang (MICRO, 2023)

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. - Zhengang Li; Geng Yuan; Tomoharu Yamauchi; Masoud Zabihi; Yanyue Xie; Peiyan Dong; Xulong Tang; Nobuyuki Yoshikawa; Devesh Tiwari; Yanzhi Wang; Olivia Chen (MICRO, 2023)

Integrated Qubit Reuse and Circuit Cutting for Large Quantum Circuit Evaluation. - Aditya Pawar; Yingheng Li; Zewei Mo; Yanan Guo 002; Youtao Zhang; Xulong Tang; Jun Yang 002 (CoRR, 2023)

Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing. - Yingheng Li; Aditya Pawar; Zewei Mo; Youtao Zhang; Jun Yang 002; Xulong Tang (CoRR, 2023)

Sustainable AI Processing at the Edge. - Sébastien Ollivier; Sheng Li 019; Yue Tang 002; Stephen Cahoon; Ryan Caginalp; Chayanika Chaudhuri; Peipei Zhou 001; Xulong Tang; Jingtong Hu; Alex K. Jones (IEEE Micro, 2023)

FMCC: Flexible Measurement-based Quantum Computation over Cluster State. - Yingheng Li; Aditya Pawar; Zewei Mo; Youtao Zhang; Jun Yang 002; Xulong Tang (ASPLOS (4), 2024)

QRCC: Evaluating Large Quantum Circuits on Small Quantum Computers through Integrated Qubit Reuse and Circuit Cutting. - Aditya Pawar; Yingheng Li; Zewei Mo; Yanan Guo 002; Xulong Tang; Youtao Zhang; Jun Yang 002 (ASPLOS (4), 2024)

LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. - Yifan Gong 004; Yushu Wu; Zheng Zhan 001; Pu Zhao 001; Liangkai Liu; Chao Wu 006; Xulong Tang; Yanzhi Wang (DAC, 2024)

FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing. - Zewei Mo; Yingheng Li; Aditya Pawar; Xulong Tang; Jun Yang 002; Youtao Zhang (DAC, 2024)

GRIT: Enhancing Multi-GPU Performance with Fine-Grained Dynamic Page Placement. - Yueqi Wang; Bingyao Li; Aamer Jaleel; Jun Yang 002; Xulong Tang (HPCA, 2024)

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. - Sheng Li 019; Chao Wu 006; Ao Li 004; Yanzhi Wang; Xulong Tang; Geng Yuan (ICLR, 2024)

STAR: Sub-Entry Sharing-Aware TLB for Multi-Instance GPU. - Bingyao Li; Yueqi Wang; Tianyu Wang; Lieven Eeckhout; Jun Yang 002; Aamer Jaleel; Xulong Tang (MICRO, 2024)

CoDancers: Music-Driven Coherent Group Dance Generation with Choreographic Unit. - Kaixing Yang; Xulong Tang; Ran Diao; Hongyan Liu 002; Jun He 008; Zhaoxin Fan (ICMR, 2024)

BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval. - Kaixing Yang; Xukun Zhou; Xulong Tang; Ran Diao; Hongyan Liu 002; Jun He 008; Zhaoxin Fan (ICMR, 2024)

EdgeOL: Efficient in-situ Online Learning on Edge Devices. - Sheng Li 019; Geng Yuan; Yawen Wu; Yue Dai 005; Chao Wu 006; Alex K. Jones; Jingtong Hu; Yanzhi Wang; Xulong Tang (CoRR, 2024)

Improving Multi-Instance GPU Efficiency via Sub-Entry Sharing TLB Design. - Bingyao Li; Yueqi Wang; Tianyu Wang; Lieven Eeckhout; Jun Yang 002; Aamer Jaleel; Xulong Tang (CoRR, 2024)

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. - Tianyu Wang; Sheng Li 019; Bingyao Li; Yue Dai 005; Ao Li 004; Geng Yuan; Yufei Ding 001; Youtao Zhang; Xulong Tang (CoRR, 2024)

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits. - Yuqing Li; Jinglei Cheng; Xulong Tang; Youtao Zhang; Frederic T. Chong; Junyu Liu (CoRR, 2024)

CoheDancers: Enhancing Interactive Group Dance Generation through Music-Driven Coherence Decomposition. - Kaixing Yang; Xulong Tang; Haoyu Wu; Qinliang Xue; Biao Qin; Hongyan Liu 002; Zhaoxin Fan (CoRR, 2024)

A Computation and Energy Efficient Hardware Architecture for SSL Acceleration. - Huidong Ji; Sheng Li 019; Yue Cao; Chen Ding; Jiawei Xu 001; Qitao Tan; Jun Liu 075; Ao Li 004; Xulong Tang; Lirong Zheng 001; Geng Yuan; Zhuo Zou (ASP-DAC, 2025)

Cascade: A Dependency-aware Efficient Training Framework for Temporal Graph Neural Network. - Yue Dai 005; Xulong Tang; Youtao Zhang (ASPLOS (2), 2025)

Pruner: A Draft-then-Verify Exploration Mechanism to Accelerate Tensor Program Tuning. - Liang Qiao; Jun Shi 007; Xiaoyu Hao; Xi Fang; Sen Zhang; Minfan Zhao; Ziqi Zhu; Junshi Chen; Hong An; Xulong Tang; Bing Li; Honghui Yuan; et al. (ASPLOS (2), 2025)

OASIS: Object-Aware Page Management for Multi-GPU Systems. - Yueqi Wang; Bingyao Li; Mohamed Tarek Ibn Ziad; Lieven Eeckhout; Jun Yang 002; Aamer Jaleel; Xulong Tang (HPCA, 2025)

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. - Sheng Li 019; Qitao Tan; Yue Dai 005; Zhenglun Kong; Tianyu Wang; Jun Liu 075; Ao Li 004; Ninghao Liu; Yufei Ding 001; Xulong Tang; Geng Yuan (ICLR, 2025)

Reinforcement Learning-Guided Graph State Generation in Photonic Quantum Computers. - Yingheng Li; Yue Dai 005; Aditya Pawar; Rongchao Dong; Jun Yang 002; Youtao Zhang; Xulong Tang (ISCA, 2025)

SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation. - Ruiyu Mao; Sarthak Kumar Maharana; Xulong Tang; Yunhui Guo (CoRR, 2025)

MatchDance: Collaborative Mamba-Transformer Architecture Matching for High-Quality 3D Dance Synthesis. - Kaixing Yang; Xulong Tang; Yuxuan Hu; Jiahao Yang; Hongyan Liu 002; Qinnan Zhang; Jun He 008; Zhaoxin Fan (CoRR, 2025)

MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation. - Kaixing Yang; Xulong Tang; Ziqiao Peng; Yuxuan Hu; Jun He 008; Hongyan Liu 002 (CoRR, 2025)

Rethinking the Potential of Layer Freezing for Efficient DNN Training. - Chence Yang; Ci Zhang; Le Lu 001; Qitao Tan; Sheng Li; Ao Li 004; Xulong Tang; Shaoyi Huang; Jinzhen Wang; Guoming Li; Jundong Li; Xiaoming Zhai; et al. (CoRR, 2025)