Xulong Tang

According to our database, Xulong Tang authored at least 64 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EdgeOL: Efficient in-situ Online Learning on Edge Devices.

Sheng Li, Geng Yuan, Yawen Wu, Yue Dai, Chao Wu, Alex K. Jones, Jingtong Hu, Yanzhi Wang, Xulong Tang

CoRR, 2024

GRIT: Enhancing Multi-GPU Performance with Fine-Grained Dynamic Page Placement.

Yueqi Wang, Bingyao Li, Aamer Jaleel, Jun Yang, Xulong Tang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

Sustainable AI Processing at the Edge.

Sébastien Ollivier, Sheng Li, Yue Tang, Stephen Cahoon, Ryan Caginalp, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones

IEEE Micro, 2023

Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing.

Yingheng Li, Aditya Pawar, Zewei Mo, Youtao Zhang, Jun Yang, Xulong Tang

CoRR, 2023

Integrated Qubit Reuse and Circuit Cutting for Large Quantum Circuit Evaluation.

Aditya Pawar, Yingheng Li, Zewei Mo, Yanan Guo, Youtao Zhang, Xulong Tang, Jun Yang

CoRR, 2023

BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval.

Kaixing Yang, Xukun Zhou, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan

CoRR, 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

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

IDYLL: Enhancing Page Translation in Multi-GPUs via Light Weight PTE Invalidations.

Bingyao Li, Yanan Guo, Yueqi Wang, Aamer Jaleel, Jun Yang, Xulong Tang

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing.

Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FlexGM: An Adaptive Runtime System to Accelerate Graph Matching Networks on GPUs.

Yue Dai, Xulong Tang, Youtao Zhang

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

AB-ORAM: Constructing Adjustable Buckets for Space Reduction in Ring ORAM.

Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 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, Xulong Tang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks.

Yue Dai, Youtao Zhang, Xulong Tang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

EP-ORAM: Efficient NVM-Friendly Path Eviction for Ring ORAM in Hybrid Memory.

Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs.

Bingyao Li, Yueqi Wang, Xulong Tang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Orchestrating Measurement-Based Quantum Computation over Photonic Quantum Processors.

Yingheng Li, Aditya Pawar, Mohadeseh Azari, Yanan Guo, Youtao Zhang, Jun Yang, Kaushik Parasuram Seshadreesan, Xulong Tang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

An efficient segmented quantization for graph neural networks.

Yue Dai, Xulong Tang, Youtao Zhang

CCF Trans. High Perform. Comput., December, 2022

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.

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

ACM Trans. Embed. Comput. Syst., September, 2022

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration.

Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang

ACM Trans. Design Autom. Electr. Syst., 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

CoRR, 2022

Sustainable AI Processing at the Edge.

Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones

CoRR, 2022

Optimizing Data Layout for Training Deep Neural Networks.

Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training.

Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing.

Yajuan Du, Mingyang Liu, Yuqi Yang, Mingzhe Zhang, Xulong Tang

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Fine-Granular Computation and Data Layout Reorganization for Improving Locality.

Mahmut T. Kandemir, Xulong Tang, Jagadish Kotra, Mustafa Karaköy

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Q-GPU: A Recipe of Optimizations for Quantum Circuit Simulation Using GPUs.

Yilun Zhao, Yanan Guo, Yuan Yao, Amanda Dumi, Devin M. Mulvey, Shiv Upadhyay, Youtao Zhang, Kenneth D. Jordan, Jun Yang, Xulong Tang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

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, Zhenman Fang, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices.

Xinyi Zhang, Yawen Wu, Peipei Zhou, Xulong Tang, Jingtong Hu

ACM Trans. Embed. Comput. Syst., 2021

Mix and Match: Reorganizing Tasks for Enhancing Data Locality.

Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy

Proc. ACM Meas. Anal. Comput. Syst., 2021

A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities.

Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen

CoRR, 2021

Parallelizing DNN Training on GPUs: Challenges and Opportunities.

Weizheng Xu, Youtao Zhang, Xulong Tang

Proceedings of the Companion of The Web Conference 2021, 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, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang

Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

Compiler support for near data computing.

Mahmut Taylan Kandemir, Jihyun Ryoo, Xulong Tang, Mustafa Karaköy

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

Distance-in-time versus distance-in-space.

Mahmut Taylan Kandemir, Xulong Tang, Hui Zhao, Jihyun Ryoo, Mustafa Karaköy

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Fluid: a framework for approximate concurrency via controlled dependency relaxation.

Huaipan Jiang, Haibo Zhang, Xulong Tang, Vineetha Govindaraj, Jack Sampson, Mahmut Taylan Kandemir, Danfeng Zhang

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Characterizing AI Model Inference Applications Running in the SGX Environment.

Shixiong Jing, Qinkun Bao, Pei Wang, Xulong Tang, Dinghao Wu

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

Improving Address Translation in Multi-GPUs via Sharing and Spilling aware TLB Design.

Bingyao Li, Jieming Yin, Youtao Zhang, Xulong Tang

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU.

Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

ScaleDNN: Data Movement Aware DNN Training on Multi-GPU.

Weizheng Xu, Ashutosh Pattnaik, Geng Yuan, Yanzhi Wang, Youtao Zhang, Xulong Tang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Towards a Secure Integrated Heterogeneous Platform via Cooperative CPU/GPU Encryption.

Zhendong Wang, Rujia Wang, Zihang Jiang, Xulong Tang, Shouyi Yin, Yang Hu

Proceedings of the 30th IEEE Asian Test Symposium, 2021

A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices.

Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.

Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Enabling Latency-Aware Data Initialization for Integrated CPU/GPU Heterogeneous Platform.

Zhendong Wang, Zihang Jiang, Zhen Wang, Xulong Tang, Cong Liu, Shouyi Yin, Yang Hu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines.

Shasha Guo, Lianhua Qu, Lei Wang, Xulong Tang, Shuo Tian, Shiming Li, Weixia Xu

CoRR, 2020

Enhancing Address Translations in Throughput Processors via Compression.

Xulong Tang, Ziyu Zhang, Weizheng Xu, Mahmut Taylan Kandemir, Rami G. Melhem, Jun Yang

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Architecture-Aware Approximate Computing.

Mustafa Karaköy, Orhan Kislal, Xulong Tang, Mahmut Taylan Kandemir, Meenakshi Arunachalam

Proc. ACM Meas. Anal. Comput. Syst., 2019

Co-optimizing memory-level parallelism and cache-level parallelism.

Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy, Meenakshi Arunachalam

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 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

Proceedings of the 46th International Symposium on Computer Architecture, 2019

Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications.

Jihyun Ryoo, Mengran Fan, Xulong Tang, Huaipan Jiang, Meena Arunachalam, Sharada Naveen, Mahmut T. Kandemir

Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

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

Computing with Near Data.

Xulong Tang, Mahmut Taylan Kandemir, Hui Zhao, Myoungsoo Jung, Mustafa Karaköy

Proc. ACM Meas. Anal. Comput. Syst., 2018

Oversubscribed Command Queues in GPUs.

Sooraj Puthoor, Xulong Tang, Joseph Gross, Bradford M. Beckmann

Proceedings of the 11th Workshop on General Purpose Processing using GPUs, 2018

Enhancing computation-to-core assignment with physical location information.

Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir, Myoungsoo Jung

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Quantifying and Optimizing Data Access Parallelism on Manycores.

Jihyun Ryoo, Orhan Kislal, Xulong Tang, Mahmut T. Kandemir

Proceedings of the 26th IEEE International Symposium on Modeling, 2018

2017

Data movement aware computation partitioning.

Xulong Tang, Orhan Kislal, Mahmut T. Kandemir, Mustafa Karaköy

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

DEMM: A Dynamic Energy-Saving Mechanism for Multicore Memories.

Akbar Sharifi, Wei Ding, Diana R. Guttman, Hui Zhao, Xulong Tang, Mahmut T. Kandemir, Chita R. Das

Proceedings of the 25th IEEE International Symposium on Modeling, 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

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

POSTER: Location-Aware Computation Mapping for Manycore Processors.

Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir, Myoungsoo Jung

Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016

Improving bank-level parallelism for irregular applications.

Xulong Tang, Mahmut T. Kandemir, Praveen Yedlapalli, Jagadish Kotra

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 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

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

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

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015

Memory Row Reuse Distance and its Role in Optimizing Application Performance.

Mahmut T. Kandemir, Hui Zhao, Xulong Tang, Mustafa Karaköy

Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Optimizing off-chip accesses in multicores.

Wei Ding, Xulong Tang, Mahmut T. Kandemir, Yuanrui Zhang, Emre Kultursay

Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015

2012

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

Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012