Shuaiwen Leon Song

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 102

Top Venues

CoRR

ICS

IPDPS Workshops

Publications

Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song
Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs. USENIX ATC (2024)
Kezhen Chen, Rahul Thapa, Rahul Chalamala, Ben Athiwaratkun, Shuaiwen Leon Song, James Zou
Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model. CoRR (2024)
Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models. CoRR (2024)
Donglin Zhuang, Zhen Zheng, Haojun Xia, Xiafei Qiu, Junjie Bai, Wei Lin, Shuaiwen Leon Song
MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures. OSDI (2024)
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Reza Yazdani Aminabadi, Shuaiwen Leon Song, Samyam Rajbhandari, Yuxiong He
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. IPDPS (Workshops) (2024)
Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design. CoRR (2024)
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Reza Yazdani Aminadabi, Shuaiwen Leon Song, Samyam Rajbhandari, Yuxiong He
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. PODC (2024)
Chengying Huan, Yongchao Liu, Heng Zhang, Hang Liu, Shiyang Chen, Shuaiwen Leon Song, Yanjun Wu
TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. IEEE Trans. Parallel Distributed Syst. 35 (8) (2024)
Yufei Yang, Chenhao Xie, Liansheng Liu, Philip H. W. Leong, Shuaiwen Leon Song
Efficient Radius Search for Adaptive Foveal Sizing Mechanism in Collaborative Foveated Rendering Framework. IEEE Trans. Mob. Comput. 23 (5) (2024)
Yu Wen, Chenhao Xie, Shuaiwen Leon Song, Xin Fu
Post0-VR: Enabling Universal Realistic Rendering for Modern VR via Exploiting Architectural Similarity and Data Sharing. HPCA (2023)
Huwan Peng, Scott Davidson, Richard Shi, Shuaiwen Leon Song, Michael B. Taylor
Chiplet Cloud: Building AI Supercomputers for Serving Large Generative Language Models. CoRR (2023)
Yue Jin, Chengying Huan, Heng Zhang, Yongchao Liu, Shuaiwen Leon Song, Rui Zhao, Yao Zhang, Changhua He, Wenguang Chen
G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs. PACT (2023)
Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. ICS (2023)
Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. CoRR (2023)
Fengxiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Ameneh Golnari, David A. Clifton, Yuxiong He, Dacheng Tao, Shuaiwen Leon Song
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. CoRR (2023)
Zhewei Yao, Reza Yazdani Aminabadi, Olatunji Ruwase, Samyam Rajbhandari, Xiaoxia Wu, Ammar Ahmad Awan, Jeff Rasley, Minjia Zhang, Conglong Li, Connor Holmes, Zhongzhu Zhou, Michael Wyatt, Molly Smith, Lev Kurilenko, Heyang Qin, Masahiro Tanaka, Shuai Che, Shuaiwen Leon Song, Yuxiong He
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. CoRR (2023)
Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity. CoRR (2023)
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Shuaiwen Leon Song, Samyam Rajbhandari, Yuxiong He
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. CoRR (2023)
Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song
Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity. Proc. VLDB Endow. 17 (2) (2023)
Lening Wang, Qiyu Wan, Peixun Ma, Jing Wang, Minsong Chen, Shuaiwen Leon Song, Xin Fu
Enabling High-Efficient ReRAM-Based CNN Training Via Exploiting Crossbar-Level Insignificant Writing Elimination. IEEE Trans. Computers 72 (11) (2023)
Jianda Wang, Zhendong Wang, Bo Yu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu
Data Fusion in Infrastructure-Augmented Autonomous Driving System: Why? Where? and How? IEEE Internet Things J. 10 (18) (2023)
Qiyu Wan, Lening Wang, Jing Wang, Shuaiwen Leon Song, Xin Fu
NAS-SE: Designing A Highly-Efficient In-Situ Neural Architecture Search Engine for Large-Scale Deployment. MICRO (2023)
Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu
TEA: A General-Purpose Temporal Graph Random Walk Engine. EuroSys (2023)
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR (2023)
Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu
Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. RTAS (2022)
Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu
Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. CoRR (2022)
Chengying Huan, Shuaiwen Leon Song, Yongchao Liu, Heng Zhang, Hang Liu, Charles He, Kang Chen, Jinlei Jiang, Yongwei Wu
T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture. PACT (2022)
Liyan Zheng, Jidong Zhai, Xiongchao Tang, Haojie Wang, Teng Yu, Yuyang Jin, Shuaiwen Leon Song, Wenguang Chen
Vapro: performance variance detection and diagnosis for production-run parallel applications. PPoPP (2022)
Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. ICS (2022)
Jieyang Chen, Chenhao Xie, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. CoRR (2022)
Zhen Zheng, Xuanda Yang, Pengzhan Zhao, Guoping Long, Kai Zhu, Feiwen Zhu, Wenyi Zhao, Xiaoyong Liu, Jun Yang, Jidong Zhai, Shuaiwen Leon Song, Wei Lin
AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures. ASPLOS (2022)
Jidong Zhai, Liyan Zheng, Feng Zhang, Xiongchao Tang, Haojie Wang, Teng Yu, Yuyang Jin, Shuaiwen Leon Song, Wenguang Chen
Detecting Performance Variance for Parallel Applications Without Source Code. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song
TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. ICDE (2022)
Zhendong Wang, Xiaoming Zeng, Shuaiwen Leon Song, Yang Hu
Towards Efficient Architecture and Algorithms for Sensor Fusion. CoRR (2022)
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)
Xingyao Zhang, Haojun Xia, Donglin Zhuang, Hao Sun, Xin Fu, Michael B. Taylor, Shuaiwen Leon Song
η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities. ISCA (2021)
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. ICS (2021)
Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu
Dr. Top-k: Delegate-Centric Top-k on GPUs. CoRR (2021)
Qiyu Wan, Haojun Xia, Xingyao Zhang, Lening Wang, Shuaiwen Leon Song, Xin Fu
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving. CoRR (2021)
Donglin Zhuang, Xingyao Zhang, Shuaiwen Leon Song, Sara Hooker
Randomness In Neural Network Training: Characterizing The Impact of Tooling. CoRR (2021)
Heng Zhang, Lingda Li, Donglin Zhuang, Rui Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Leon Song
An efficient uncertain graph processing framework for heterogeneous architectures. PPoPP (2021)
Chenhao Xie, Xie Li, Yang Hu, Huwan Peng, Michael B. Taylor, Shuaiwen Leon Song
Q-VR: System-Level Design for Future Mobile Collaborative Virtual Reality. CoRR (2021)
Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu
Dr. Top-k: delegate-centric Top-k on GPUs. SC (2021)
Chenhao Xie, Jieyang Chen, Jesun Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. ICPP (2021)
Xingyao Zhang, Xin Fu, Donglin Zhuang, Chenhao Xie, Shuaiwen Leon Song
Enabling Highly Efficient Capsule Networks Processing Through Software-Hardware Co-Design. IEEE Trans. Computers 70 (4) (2021)
Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu
Toward Efficient Interactions between Python and Native Libraries. CoRR (2021)
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. CoRR (2021)
Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers. CoRR (2021)
Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong
MAPA: multi-accelerator pattern allocation policy for multi-tenant GPU servers. SC (2021)
Cody Rivera, Jieyang Chen, Nan Xiong, Jing Zhang, Shuaiwen Leon Song, Dingwen Tao
TSM2X: High-performance tall-and-skinny matrix-matrix multiplication on GPUs. J. Parallel Distributed Comput. 151 (2021)
Qiyu Wan, Haojun Xia, Xingyao Zhang, Lening Wang, Shuaiwen Leon Song, Xin Fu
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving. MICRO (2021)
Chenhao Xie, Xie Li, Yang Hu, Huwan Peng, Michael B. Taylor, Shuaiwen Leon Song
Q-VR: system-level design for future mobile collaborative virtual reality. ASPLOS (2021)
Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
A novel memory-efficient deep learning training framework via error-bounded lossy compression. PPoPP (2021)
Cody Rivera, Jieyang Chen, Nan Xiong, Shuaiwen Leon Song, Dingwen Tao
ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs. CoRR (2020)
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. CoRR (2020)
Chenhao Xie, Jieyang Chen, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. CoRR (2020)
Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression. CoRR (2020)
Jingweijia Tan, Kaige Yan, Shuaiwen Leon Song, Xin Fu
Energy-Efficient GPU L2 Cache Design Using Instruction-Level Data Locality Similarity. ACM Trans. Design Autom. Electr. Syst. 25 (6) (2020)
Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design. HPCA (2020)
Chenhao Xie, Xin Fu, Mingsong Chen, Shuaiwen Leon Song
OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems. CoRR (2020)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. IEEE Trans. Parallel Distributed Syst. 31 (1) (2020)
Chenhao Xie, Xin Fu, Mingsong Chen, Shuaiwen Leon Song
OO-VR: NUMA friendly object-oriented VR rendering framework for future NUMA-based multi-GPU systems. ISCA (2019)
Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design. CoRR (2019)
Jingweijia Tan, Kaige Yan, Shuaiwen Leon Song, Xin Fu
LoSCache: Leveraging Locality Similarity to Build Energy-Efficient GPU L2 Cache. DATE (2019)
Ang Li, Tong Geng, Tianqi Wang, Martin C. Herbordt, Shuaiwen Leon Song, Kevin J. Barker
BSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets. SC (2019)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. CoRR (2019)
Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Shuaiwen Leon Song, Ang Li, Martin C. Herbordt
LP-BNN: Ultra-low-Latency BNN Inference with Layer Parallelism. ASAP (2019)
Kiran Ranganath, AmirAli Abdolrashidi, Shuaiwen Leon Song, Daniel Wong
Speeding up Collective Communications Through Inter-GPU Re-Routing. IEEE Comput. Archit. Lett. 18 (2) (2019)
Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy, Abhinav Vishnu, Dipanjan Sengupta, Xu Liu
NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks. ACM Trans. Archit. Code Optim. 15 (2) (2018)
Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy, Xu Liu
Lightweight detection of cache conflicts. CGO (2018)
Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song
Warp-Consolidation: A Novel Execution Model for GPUs. ICS (2018)
Shuaiwen Leon Song, Natalie J. Bates, Ang Li
Introduction to HPPAC 2018. IPDPS Workshops (2018)
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks. CoRR (2018)
Du Shen, Shuaiwen Leon Song, Ang Li, Xu Liu
CUDAAdvisor: LLVM-based runtime profiling for modern GPUs. CGO (2018)
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
Superneurons: dynamic GPU memory management for training deep neural networks. PPOPP (2018)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite. IISWC (2018)
Junqiao Qiu, Zhijia Zhao, Bo Wu, Abhinav Vishnu, Shuaiwen Leon Song
Enabling scalability-sensitive speculative parallelization for FSM computations. ICS (2017)
Ang Li, Shuaiwen Leon Song, Weifeng Liu, Xu Liu, Akash Kumar, Henk Corporaal
Locality-Aware CTA Clustering for Modern GPUs. ASPLOS (2017)
Chenhao Xie, Shuaiwen Leon Song, Jing Wang, Weigong Zhang, Xin Fu
Processing-in-Memory Enabled Graphics Processors for 3D Rendering. HPCA (2017)
Ang Li, Wenfeng Zhao, Shuaiwen Leon Song
BVF: enabling significant on-chip power savings via bit-value-favor for throughput processors. MICRO (2017)
Ning Zhang, Chuntao Jiang, Xian-He Sun, Shuaiwen Leon Song
Evaluating GPGPU Memory Performance Through the C-AMAT Model. MCHPC@SC (2017)
Shuaiwen Leon Song, Torsten Hoefler
IPDRM Workshop Introduction. IPDPS Workshops (2017)
Ang Li, Weifeng Liu, Mads Ruben Burgdorff Kristensen, Brian Vinter, Hao Wang, Kaixi Hou, Andres Marquez, Shuaiwen Leon Song
Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels. SC (2017)
Dipanjan Sengupta, Shuaiwen Leon Song
EvoGraph: On-the-Fly Efficient Mining of Evolving Graphs on GPU. ISC (2017)
Shuaiwen Leon Song, Richard W. Vuduc
HPPAC Workshop Introduction. IPDPS Workshops (2017)
Jingweijia Tan, Shuaiwen Leon Song, Kaige Yan, Xin Fu, Andrès Márquez, Darren J. Kerbyson
Combating the Reliability Challenge of GPU Register File at Low Supply Voltage. PACT (2016)
Ang Li, Shuaiwen Leon Song, Akash Kumar, Eddy Z. Zhang, Daniel G. Chavarría-Miranda, Henk Corporaal
Critical points based register-concurrency autotuning for GPUs. DATE (2016)
Ari B. Hayes, Lingda Li, Daniel G. Chavarría-Miranda, Shuaiwen Leon Song, Eddy Z. Zhang
Orion: A Framework for GPU Occupancy Tuning. Middleware (2016)
Lingda Li, Ari B. Hayes, Stephen A. Hackler, Eddy Z. Zhang, Mario Szegedy, Shuaiwen Leon Song
A Graph-based Model for GPU Caching Problems. CoRR (2016)
Lingda Li, Ari B. Hayes, Shuaiwen Leon Song, Eddy Z. Zhang
Tag-Split Cache for Efficient GPGPU Cache Utilization. ICS (2016)
Probir Roy, Xu Liu, Shuaiwen Leon Song
SMT-Aware Instantaneous Footprint Optimization. HPDC (2016)
Ang Li, Shuaiwen Leon Song, Mark Wijtvliet, Akash Kumar, Henk Corporaal
SFU-Driven Transparent Approximation Acceleration on GPUs. ICS (2016)
Ang Li, Shuaiwen Leon Song, Eric Brugel, Akash Kumar, Daniel G. Chavarría-Miranda, Henk Corporaal
X: A Comprehensive Analytic Model for Parallel Machines. IPDPS (2016)
Shuaiwen Leon Song, Todd Gamblin
IPDRM Introduction and Committees. IPDPS Workshops (2016)
Barry Rountree, Shuaiwen Leon Song
HPPAC Introduction and Committees. IPDPS Workshops (2016)
Li Tan, Zizhong Chen, Shuaiwen Leon Song
Scalable Energy Efficiency with Resilience for High Performance Computing Systems: A Quantitative Methodology. ACM Trans. Archit. Code Optim. 12 (4) (2016)
Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren J. Kerbyson, Zizhong Chen
New-Sum: A Novel Online ABFT Scheme For General Iterative Methods. HPDC (2016)
Chao Li, Shuaiwen Leon Song, Hongwen Dai, Albert Sidelnik, Siva Kumar Sastry Hari, Huiyang Zhou
Locality-Driven Dynamic GPU Cache Bypassing. ICS (2015)
Dipanjan Sengupta, Shuaiwen Leon Song, Kapil Agarwal, Karsten Schwan
GraphReduce: processing large-scale graphs on accelerator-based systems. SC (2015)
Yang You, Haohuan Fu, Shuaiwen Leon Song, Amanda Peters Randles, Darren J. Kerbyson, Andres Marquez, Guangwen Yang, Adolfy Hoisie
Scaling Support Vector Machines on modern HPC platforms. J. Parallel Distributed Comput. 76 (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shuaiwen Leon Song