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2020 – today
- 2024
[c53]Yueqi Wang
, Bingyao Li, Aamer Jaleel, Jun Yang, Xulong Tang:
GRIT: Enhancing Multi-GPU Performance with Fine-Grained Dynamic Page Placement. HPCA 2024: 1080-1094- [c52]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 - [c51]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: 11-19 - [c50]Kaixing Yang, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan:
CoDancers: Music-Driven Coherent Group Dance Generation with Choreographic Unit. ICMR 2024: 675-683 - [i16]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 abs/2401.16694 (2024) - [i15]Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang:
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. CoRR abs/2401.16720 (2024) - [i14]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 abs/2404.18361 (2024) - [i13]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 abs/2407.13126 (2024) - 2023
- [j10]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): 19-28 (2023) - [c49]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: 1-6 - [c48]Bingyao Li, Yueqi Wang, Xulong Tang:
Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs. DAC 2023: 1-6 - [c47]Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang:
EP-ORAM: Efficient NVM-Friendly Path Eviction for Ring ORAM in Hybrid Memory. DAC 2023: 1-6 - [c46]Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang:
AB-ORAM: Constructing Adjustable Buckets for Space Reduction in Ring ORAM. HPCA 2023: 361-373 - [c45]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: 456-470 - [c44]Yue Dai, Youtao Zhang, Xulong Tang:
CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks. HPCA 2023: 584-597 - [c43]Yue Dai, Xulong Tang, Youtao Zhang:
FlexGM: An Adaptive Runtime System to Accelerate Graph Matching Networks on GPUs. ICCD 2023: 348-356 - [c42]Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang:
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. ICLR 2023 - [c41]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: 584-598 - [c40]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: 1163-1177 - [i12]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 abs/2309.12212 (2023) - [i11]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 abs/2310.10300 (2023) - [i10]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 abs/2312.10298 (2023) - [i9]Yingheng Li, Aditya Pawar, Zewei Mo, Youtao Zhang, Jun Yang, Xulong Tang:
Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing. CoRR abs/2312.10865 (2023) - 2022
- [j9]Yue Dai, Xulong Tang, Youtao Zhang:
An efficient segmented quantization for graph neural networks. CCF Trans. High Perform. Comput. 4(4): 461-473 (2022) - [j8]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): 65:1-65:22 (2022) - [j7]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): 47:1-47:26 (2022) - [c39]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: 34-51 - [c38]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: 726-740 - [c37]Mahmut T. Kandemir, Xulong Tang, Jagadish Kotra, Mustafa Karaköy:
Fine-Granular Computation and Data Layout Reorganization for Improving Locality. ICCAD 2022: 5:1-5:9 - [c36]Yajuan Du, Mingyang Liu, Yuqi Yang, Mingzhe Zhang, Xulong Tang:
Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing. ICCD 2022: 146-153 - [c35]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 - [c34]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: 548-554 - [i8]Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones:
Sustainable AI Processing at the Edge. CoRR abs/2207.01209 (2022) - [i7]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 abs/2208.13720 (2022) - [i6]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 abs/2209.11204 (2022) - 2021
- [j6]Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy:
Mix and Match: Reorganizing Tasks for Enhancing Data Locality. Proc. ACM Meas. Anal. Comput. Syst. 5(2): 20:1-20:24 (2021) - [j5]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): 71:1-71:24 (2021) - [c33]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: 955-963 - [c32]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: 15997-16000 - [c31]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: 115-120 - [c30]Weizheng Xu, Ashutosh Pattnaik, Geng Yuan, Yanzhi Wang, Youtao Zhang, Xulong Tang:
ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. ICCAD 2021: 1-9 - [c29]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: 1-9 - [c28]Bingyao Li, Jieming Yin, Youtao Zhang, Xulong Tang:
Improving Address Translation in Multi-GPUs via Sharing and Spilling aware TLB Design. MICRO 2021: 1154-1168 - [c27]Shixiong Jing, Qinkun Bao, Pei Wang, Xulong Tang, Dinghao Wu:
Characterizing AI Model Inference Applications Running in the SGX Environment. NAS 2021: 1-4 - [c26]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: 252-267 - [c25]Mahmut Taylan Kandemir, Xulong Tang, Hui Zhao, Jihyun Ryoo, Mustafa Karaköy:
Distance-in-time versus distance-in-space. PLDI 2021: 665-680 - [c24]Mahmut Taylan Kandemir, Jihyun Ryoo, Xulong Tang, Mustafa Karaköy:
Compiler support for near data computing. PPoPP 2021: 90-104 - [c23]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: 493-496 - [c22]Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy:
Mix and Match: Reorganizing Tasks for Enhancing Data Locality. SIGMETRICS (Abstracts) 2021: 47-48 - [c21]Weizheng Xu, Youtao Zhang, Xulong Tang:
Parallelizing DNN Training on GPUs: Challenges and Opportunities. WWW (Companion Volume) 2021: 174-178 - [i5]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 abs/2111.11581 (2021) - [i4]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 abs/2111.14247 (2021) - [i3]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 abs/2111.14255 (2021) - 2020
- [j4]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): 3433-3444 (2020) - [c20]Xulong Tang, Ziyu Zhang, Weizheng Xu, Mahmut Taylan Kandemir, Rami G. Melhem, Jun Yang:
Enhancing Address Translations in Throughput Processors via Compression. PACT 2020: 191-204 - [i2]Shasha Guo, Lianhua Qu, Lei Wang, Xulong Tang, Shuo Tian, Shiming Li, Weixia Xu:
Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines. CoRR abs/2004.02540 (2020) - [i1]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 abs/2009.05697 (2020)
2010 – 2019
- 2019
- [j3]Mustafa Karaköy, Orhan Kislal, Xulong Tang, Mahmut Taylan Kandemir, Meenakshi Arunachalam:
Architecture-Aware Approximate Computing. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 38:1-38:24 (2019) - [c19]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: 205-214 - [c18]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: 210-223 - [c17]Xulong Tang, Mahmut Taylan Kandemir, Mustafa Karaköy, Meenakshi Arunachalam:
Co-optimizing memory-level parallelism and cache-level parallelism. PLDI 2019: 935-949 - [c16]Mustafa Karaköy, Orhan Kislal, Xulong Tang, Mahmut Taylan Kandemir, Meenakshi Arunachalam:
Architecture-Aware Approximate Computing. SIGMETRICS (Abstracts) 2019: 23-24 - [c15]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: 25-26 - [c14]Xulong Tang, Mahmut Taylan Kandemir, Hui Zhao, Myoungsoo Jung, Mustafa Karaköy:
Computing with Near Data. SIGMETRICS (Abstracts) 2019: 27-28 - 2018
- [j2]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): 39:1-39:24 (2018) - [j1]Xulong Tang, Mahmut Taylan Kandemir, Hui Zhao, Myoungsoo Jung, Mustafa Karaköy:
Computing with Near Data. Proc. ACM Meas. Anal. Comput. Syst. 2(3): 42:1-42:30 (2018) - [c13]Jihyun Ryoo, Orhan Kislal, Xulong Tang, Mahmut T. Kandemir:
Quantifying and Optimizing Data Access Parallelism on Manycores. MASCOTS 2018: 131-144 - [c12]Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir, Myoungsoo Jung:
Enhancing computation-to-core assignment with physical location information. PLDI 2018: 312-327 - [c11]Sooraj Puthoor, Xulong Tang, Joseph Gross, Bradford M. Beckmann:
Oversubscribed Command Queues in GPUs. GPGPU@PPoPP 2018: 50-60 - 2017
- [c10]Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir, Myoungsoo Jung:
POSTER: Location-Aware Computation Mapping for Manycore Processors. PACT 2017: 138-139 - [c9]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: 649-660 - [c8]Akbar Sharifi, Wei Ding, Diana R. Guttman, Hui Zhao, Xulong Tang, Mahmut T. Kandemir, Chita R. Das:
DEMM: A Dynamic Energy-Saving Mechanism for Multicore Memories. MASCOTS 2017: 210-220 - [c7]Xulong Tang, Orhan Kislal, Mahmut T. Kandemir, Mustafa Karaköy:
Data movement aware computation partitioning. MICRO 2017: 730-744 - 2016
- [c6]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: 17-30 - [c5]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: 31-44 - [c4]Xulong Tang, Mahmut T. Kandemir, Praveen Yedlapalli, Jagadish Kotra:
Improving bank-level parallelism for irregular applications. MICRO 2016: 57:1-57:12 - 2015
- [c3]Wei Ding, Xulong Tang, Mahmut T. Kandemir, Yuanrui Zhang, Emre Kultursay:
Optimizing off-chip accesses in multicores. PLDI 2015: 131-142 - [c2]Mahmut T. Kandemir, Hui Zhao, Xulong Tang, Mustafa Karaköy:
Memory Row Reuse Distance and its Role in Optimizing Application Performance. SIGMETRICS 2015: 137-149 - 2012
- [c1]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: 279-280
Coauthor Index
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