Xulong Tang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 76

Top Topics

Space Reduction

Comprehensive Evaluation

Quantum Computation

Top Venues

Publications

Yueqi Wang, Bingyao Li, Aamer Jaleel, Jun Yang, Xulong Tang
GRIT: Enhancing Multi-GPU Performance with Fine-Grained Dynamic Page Placement. HPCA (2024)
Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li, Geng Yuan, Yufei Ding, Youtao Zhang, Xulong Tang
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. CoRR (2024)
Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. ICLR (2024)
Kaixing Yang, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan
CoDancers: Music-Driven Coherent Group Dance Generation with Choreographic Unit. ICMR (2024)
Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. CoRR (2024)
Kaixing Yang, Xukun Zhou, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan
BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval. ICMR (2024)
Sheng Li, Geng Yuan, Yawen Wu, Yue Dai, Chao Wu, Alex K. Jones, Jingtong Hu, Yanzhi Wang, Xulong Tang
EdgeOL: Efficient in-situ Online Learning on Edge Devices. CoRR (2024)
Bingyao Li, Yueqi Wang, Tianyu Wang, Lieven Eeckhout, Jun Yang, Aamer Jaleel, Xulong Tang
Improving Multi-Instance GPU Efficiency via Sub-Entry Sharing TLB Design. CoRR (2024)
Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. CoRR (2023)
Bingyao Li, Jieming Yin, Anup Holey, Youtao Zhang, Jun Yang, Xulong Tang
Trans-FW: Short Circuiting Page Table Walk in Multi-GPU Systems via Remote Forwarding. HPCA (2023)
Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. MICRO (2023)
Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang
EP-ORAM: Efficient NVM-Friendly Path Eviction for Ring ORAM in Hybrid Memory. DAC (2023)
Yingheng Li, Aditya Pawar, Zewei Mo, Youtao Zhang, Jun Yang, Xulong Tang
Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing. CoRR (2023)
Yingheng Li, Aditya Pawar, Mohadeseh Azari, Yanan Guo, Youtao Zhang, Jun Yang, Kaushik Parasuram Seshadreesan, Xulong Tang
Orchestrating Measurement-Based Quantum Computation over Photonic Quantum Processors. DAC (2023)
Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. ICLR (2023)
Kaixing Yang, Xukun Zhou, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan
BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval. CoRR (2023)
Sébastien Ollivier, Sheng Li, Yue Tang, Stephen Cahoon, Ryan Caginalp, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones
Sustainable AI Processing at the Edge. IEEE Micro 43 (1) (2023)
Yue Dai, Xulong Tang, Youtao Zhang
FlexGM: An Adaptive Runtime System to Accelerate Graph Matching Networks on GPUs. ICCD (2023)
Bingyao Li, Yueqi Wang, Xulong Tang
Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs. DAC (2023)
Bingyao Li, Yanan Guo, Yueqi Wang, Aamer Jaleel, Jun Yang, Xulong Tang
IDYLL: Enhancing Page Translation in Multi-GPUs via Light Weight PTE Invalidations. MICRO (2023)
Yue Dai, Youtao Zhang, Xulong Tang
CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks. HPCA (2023)
Aditya Pawar, Yingheng Li, Zewei Mo, Yanan Guo, Youtao Zhang, Xulong Tang, Jun Yang
Integrated Qubit Reuse and Circuit Cutting for Large Quantum Circuit Evaluation. CoRR (2023)
Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang
AB-ORAM: Constructing Adjustable Buckets for Space Reduction in Ring ORAM. HPCA (2023)
Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones
Sustainable AI Processing at the Edge. CoRR (2022)
Zhendong Wang, Xiaoming Zeng, Xulong Tang, Danfeng Zhang, Xing Hu, Yang Hu
Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System. CoRR (2022)
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. ACM Trans. Embed. Comput. Syst. 21 (5) (2022)
Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang
Optimizing Data Layout for Training Deep Neural Networks. WWW (Companion Volume) (2022)
Yue Dai, Xulong Tang, Youtao Zhang
An efficient segmented quantization for graph neural networks. CCF Trans. High Perform. Comput. 4 (4) (2022)
Yilun Zhao, Yanan Guo, Yuan Yao, Amanda Dumi, Devin M. Mulvey, Shiv Upadhyay, Youtao Zhang, Kenneth D. Jordan, Jun Yang, Xulong Tang
Q-GPU: A Recipe of Optimizations for Quantum Circuit Simulation Using GPUs. HPCA (2022)
Mahmut T. Kandemir, Xulong Tang, Jagadish Kotra, Mustafa Karaköy
Fine-Granular Computation and Data Layout Reorganization for Improving Locality. ICCAD (2022)
Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. NeurIPS (2022)
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, Zhenman Fang, Yanzhi Wang
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. ECCV (12) (2022)
Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. CoRR (2022)
Yajuan Du, Mingyang Liu, Yuqi Yang, Mingzhe Zhang, Xulong Tang
Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing. ICCD (2022)
Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. CoRR (2021)
Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy
Mix and Match: Reorganizing Tasks for Enhancing Data Locality. SIGMETRICS (Abstracts) (2021)
Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities. CoRR (2021)
Mahmut Taylan Kandemir, Jihyun Ryoo, Xulong Tang, Mustafa Karaköy
Compiler support for near data computing. PPoPP (2021)
Zhendong Wang, Rujia Wang, Zihang Jiang, Xulong Tang, Shouyi Yin, Yang Hu
Towards a Secure Integrated Heterogeneous Platform via Cooperative CPU/GPU Encryption. ATS (2021)
Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. AAAI (2021)
Weizheng Xu, Youtao Zhang, Xulong Tang
Parallelizing DNN Training on GPUs: Challenges and Opportunities. WWW (Companion Volume) (2021)
Xinyi Zhang, Yawen Wu, Peipei Zhou, Xulong Tang, Jingtong Hu
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. AAAI (2021)
Shixiong Jing, Qinkun Bao, Pei Wang, Xulong Tang, Dinghao Wu
Characterizing AI Model Inference Applications Running in the SGX Environment. NAS (2021)
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. RTAS (2021)
Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. CoRR (2021)
Weizheng Xu, Ashutosh Pattnaik, Geng Yuan, Yanzhi Wang, Youtao Zhang, Xulong Tang
ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. ICCAD (2021)
Mahmut Taylan Kandemir, Xulong Tang, Hui Zhao, Jihyun Ryoo, Mustafa Karaköy
Distance-in-time versus distance-in-space. PLDI (2021)
Huaipan Jiang, Haibo Zhang, Xulong Tang, Vineetha Govindaraj, Jack Sampson, Mahmut Taylan Kandemir, Danfeng Zhang
Fluid: a framework for approximate concurrency via controlled dependency relaxation. PLDI (2021)
Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy
Mix and Match: Reorganizing Tasks for Enhancing Data Locality. Proc. ACM Meas. Anal. Comput. Syst. 5 (2) (2021)
Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. ICCAD (2021)
Bingyao Li, Jieming Yin, Youtao Zhang, Xulong Tang
Improving Address Translation in Multi-GPUs via Sharing and Spilling aware TLB Design. MICRO (2021)
Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. CoRR (2020)
Zhendong Wang, Zihang Jiang, Zhen Wang, Xulong Tang, Cong Liu, Shouyi Yin, Yang Hu
Enabling Latency-Aware Data Initialization for Integrated CPU/GPU Heterogeneous Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Shasha Guo, Lianhua Qu, Lei Wang, Xulong Tang, Tian Shuo, Shiming Li, Weixia Xu
Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines. CoRR (2020)
Xulong Tang, Ziyu Zhang, Weizheng Xu, Mahmut Taylan Kandemir, Rami G. Melhem, Jun Yang
Enhancing Address Translations in Throughput Processors via Compression. PACT (2020)
Jihyun Ryoo, Mengran Fan, Xulong Tang, Huaipan Jiang, Meena Arunachalam, Sharada Naveen, Mahmut T. Kandemir
Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications. HiPC (2019)
Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das
Quantifying Data Locality in Dynamic Parallelism in GPUs. SIGMETRICS (Abstracts) (2019)
Mustafa Karaköy, Orhan Kislal, Xulong Tang, Mahmut Taylan Kandemir, Meenakshi Arunachalam
Architecture-Aware Approximate Computing. SIGMETRICS (Abstracts) (2019)
Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das
Opportunistic computing in GPU architectures. ISCA (2019)
Xulong Tang, Mahmut Taylan Kandemir, Hui Zhao, Myoungsoo Jung, Mustafa Karaköy
Computing with Near Data. SIGMETRICS (Abstracts) (2019)
Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy, Meenakshi Arunachalam
Co-optimizing memory-level parallelism and cache-level parallelism. PLDI (2019)
Mustafa Karaköy, Orhan Kislal, Xulong Tang, Mahmut Taylan Kandemir, Meenakshi Arunachalam
Architecture-Aware Approximate Computing. Proc. ACM Meas. Anal. Comput. Syst. 3 (2) (2019)
Jihyun Ryoo, Orhan Kislal, Xulong Tang, Mahmut T. Kandemir
Quantifying and Optimizing Data Access Parallelism on Manycores. MASCOTS (2018)
Xulong Tang, Mahmut Taylan Kandemir, Hui Zhao, Myoungsoo Jung, Mustafa Karaköy
Computing with Near Data. Proc. ACM Meas. Anal. Comput. Syst. 2 (3) (2018)
Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das
Quantifying Data Locality in Dynamic Parallelism in GPUs. Proc. ACM Meas. Anal. Comput. Syst. 2 (3) (2018)
Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir, Myoungsoo Jung
Enhancing computation-to-core assignment with physical location information. PLDI (2018)
Sooraj Puthoor, Xulong Tang, Joseph Gross, Bradford M. Beckmann
Oversubscribed Command Queues in GPUs. GPGPU@PPoPP (2018)
Xulong Tang, Orhan Kislal, Mahmut T. Kandemir, Mustafa Karaköy
Data movement aware computation partitioning. MICRO (2017)
Akbar Sharifi, Wei Ding, Diana Guttman, Hui Zhao, Xulong Tang, Mahmut T. Kandemir, Chita R. Das
DEMM: A Dynamic Energy-Saving Mechanism for Multicore Memories. MASCOTS (2017)
Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir, Myoungsoo Jung
POSTER: Location-Aware Computation Mapping for Manycore Processors. PACT (2017)
Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Assem Ibrahim, Mahmut T. Kandemir, Chita R. Das
Controlled Kernel Launch for Dynamic Parallelism in GPUs. HPCA (2017)
Onur Kayiran, Adwait Jog, Ashutosh Pattnaik, Rachata Ausavarungnirun, Xulong Tang, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das
μC-States: Fine-grained GPU Datapath Power Management. PACT (2016)
Ashutosh Pattnaik, Xulong Tang, Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Chita R. Das
Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities. PACT (2016)
Xulong Tang, Mahmut T. Kandemir, Praveen Yedlapalli, Jagadish Kotra
Improving bank-level parallelism for irregular applications. MICRO (2016)
Mahmut T. Kandemir, Hui Zhao, Xulong Tang, Mustafa Karaköy
Memory Row Reuse Distance and its Role in Optimizing Application Performance. SIGMETRICS (2015)
Wei Ding, Xulong Tang, Mahmut T. Kandemir, Yuanrui Zhang, Emre Kultursay
Optimizing off-chip accesses in multicores. PLDI (2015)
Gu Liu, Hong An, Wenting Han, Xiaoqiang Li, Tao Sun, Wei Zhou, Xuechao Wei, Xulong Tang
FlexBFS: a parallelism-aware implementation of breadth-first search on GPU. PPOPP (2012)