Ang Li

216 papers A* 31A 29B 12C 9Misc 9Journal 84Unranked 42
YearRankTypeTitle / Venue / Authors
2026 — conf
CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting.
ASPLOS (2)
Hexu Zhao, Xiwen Min, Xiaoteng Liu, Moonjun Gong, Yiming Li, Ang Li, Saining Xie, Jinyang Li, Aurojit Panda
2026 A conf
SparseX: Synergizing GPU Libraries for Sparse Matrix Multiplication on Heterogeneous Processors.
CGO
Ruifeng Zhang, Xiangwei Wang, Ang Li, Xipeng Shen
2026 J jnl
The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute.
Future Gener. Comput. Syst.
Gilles Buchs, Thomas L. Beck, Ryan S. Bennink, Daniel Claudino, Andrea Delgado, Nur Aiman Fadel, Peter Groszkowski, Kathleen E. Hamilton, Travis S. Humble, Neeraj Kumar, Ang Li, Phillip C. Lotshaw, Olli Mukkula, Ryousei Takano, Amit Saxena, In-Saeng Suh, Miwako Tsuji, Roel Van Beeumen, Ugo Varetto, Yan Wang, Kazuya Yamazaki, Mikael P. Johansson
2026 J jnl
Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores.
CoRR
Chunshu Wu, Ruibing Song, Sushant Kondguli, Tong Geng, Ang Li
2025 B conf
ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training.
PPoPP
Yuhang Liang, Xinyi Li, Jie Ren, Ang Li, Bo Fang, Jieyang Chen
2025 B conf
Accelerating GNNs on GPU Sparse Tensor Cores through N: M Sparsity-Oriented Graph Reordering.
PPoPP
Jou-An Chen, Hsin-Hsuan Sung, Ruifeng Zhang, Ang Li, Xipeng Shen
2025 J jnl
An Early Investigation of the HHL Quantum Linear Solver for Scientific Applications.
Algorithms
Muqing Zheng, Chenxu Liu, Samuel A. Stein, Xiangyu Li, Johannes Mülmenstädt, Yousu Chen, Ang Li
2025 A* conf
An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning.
ICML
Chuan Liu, Chunshu Wu, Ruibing Song, Ang Li, Ying Nian Wu, Tong Geng
2025 J jnl
CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting.
CoRR
Hexu Zhao, Xiwen Min, Xiaoteng Liu, Moonjun Gong, Yiming Li, Ang Li, Saining Xie, Jinyang Li, Aurojit Panda
2025 A* conf
CaliQEC: In-situ Qubit Calibration for Surface Code Quantum Error Correction.
ISCA
Xiang Fang, Keyi Yin, Yuchen Zhu, Jixuan Ruan, Dean Tullsen, Zhiding Liang, Andrew Sornborger, Ang Li, Travis S. Humble, Yufei Ding, Yunong Shi
2025 J jnl
Context Switching for Secure Multi-programming of Near-Term Quantum Computers.
CoRR
Avinash Kumar, Meng Wang, Chenxu Liu, Ang Li, Prashant J. Nair, Poulami Das
2025 A* conf
DM-Tune: Quantizing Diffusion Models with Mixture-of-Gaussian Guided Noise Tuning.
DAC
Pouya Haghi, Ali Falahati, Zahra Azad, Chunshu Wu, Ruibing Song, Chuan Liu, Ang Li, Tong Geng
2025 A* conf
DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models.
ICLR
Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Ying Nian Wu, Tong Geng
2025 A* conf
DS-TIDE: Harnessing Dynamical Systems for Efficient Time-Independent Differential Equation Solving.
MICRO
Chuan Liu, Chunshu Wu, Ruibing Song, Guangyan Sun, Ying Nian Wu, Yousu Chen, Ang Li, Tong Geng
2025 A* conf
DS-TPU: Dynamical System for on-Device Lifelong Graph Learning with Nonlinear Node Interaction.
ISCA
Chunshu Wu, Ruibing Song, Chuan Liu, Pouya Haghi, Ang Li, Michael Huang, Tony Tong Geng
2025 A* conf
Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models.
ICLR
Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Ying Nian Wu, Dongfang Liu, Tong Geng
2025 — conf
GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism.
USENIX ATC
Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Tony Tong Geng, Ang Li, Yufei Ding
2025 — conf
HetEC: Architectures for Heterogeneous Quantum Error Correction Codes.
ASPLOS (2)
Samuel A. Stein, Shifan Xu, Andrew W. Cross, Theodore J. Yoder, Ali Javadi-Abhari, Chenxu Liu, Kun Liu, Zeyuan Zhou, Charlie Guinn, Yufei Ding, Yongshan Ding, Ang Li
2025 — conf
Implementation of Tensor Network Simulation TN-Sim under NWQ-Sim.
HPEC
Aaron C. Hoyt, Jonathan S. Bersson, Sean Garner, Chenxu Liu, Ang Li
2025 — conf
Nature-GL: A Revolutionary Learning Paradigm Unleashing Nature's Power in Real-World Spatial-Temporal Graph Learning.
ASP-DAC
Chuan Liu, Chunshu Wu, Ruibing Song, Yousu Chen, Ang Li, Michael C. Huang, Tony Tong Geng
2025 A* conf
On Scaling Up 3D Gaussian Splatting Training.
ICLR
Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
2025 J jnl
OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing.
CoRR
Hezi Zhang, Jixuan Ruan, Dean Tullsen, Yufei Ding, Ang Li, Travis S. Humble
2025 A* conf
OneAdapt: Resource-Adaptive Compilation of Measurement-Based Quantum Computing for Photonic Hardware.
MICRO
Hezi Zhang, Jixuan Ruan, Dean Tullsen, Yufei Ding, Ang Li, Travis S. Humble
2025 — conf
PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture.
ASPLOS (3)
Jixuan Ruan, Xiang Fang, Hezi Zhang, Ang Li, Travis S. Humble, Yufei Ding
2025 — conf
QECC-Synth: A Layout Synthesizer for Quantum Error Correction Codes on Sparse Architectures.
ASPLOS (1)
Keyi Yin, Hezi Zhang, Xiang Fang, Yunong Shi, Travis S. Humble, Ang Li, Yufei Ding
2025 J jnl
Scaling Point-based Differentiable Rendering for Large-scale Reconstruction.
CoRR
Hexu Zhao, Xiaoteng Liu, Xiwen Min, Jianhao Huang, Youming Deng, Yanfei Li, Ang Li, Jinyang Li, Aurojit Panda
2024 J jnl
A GPU accelerated mixed-precision Finite Difference informed Random Walker (FDiRW) solver for strongly inhomogeneous diffusion problems.
CoRR
Zirui Mao, Shenyang Hu, Ang Li
2024 J jnl
A GPU accelerated mixed-precision Smoothed Particle Hydrodynamics framework with cell-based relative coordinates.
CoRR
Zirui Mao, Xinyi Li, Shenyang Hu, Ganesh Gopalakrishnan, Ang Li
2024 J jnl
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity.
CoRR
Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel A. Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao
2024 J jnl
ARQUIN: Architectures for Multinode Superconducting Quantum Computers.
ACM Trans. Quantum Comput.
James Ang, Gabriella Carini, Yanzhu Chen, Isaac L. Chuang, Michael DeMarco, Sophia E. Economou, Alec Eickbusch, Andrei Faraon, Kai-Mei Fu, Steven M. Girvin, Michael Hatridge, Andrew A. Houck, Paul Hilaire, Kevin Krsulich, Ang Li, Chenxu Liu, Yuan Liu, Margaret Martonosi, David C. McKay, Jim Misewich, Mark B. Ritter, Robert J. Schoelkopf, Samuel A. Stein, Sara Sussman, Hong Tang, Wei Tang, Teague Tomesh, Norm M. Tubman, Chen Wang, Nathan Wiebe, Yongxin Yao, Dillon Yost, Yiyu Zhou
2024 J jnl
Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units.
J. Chem. Inf. Model.
Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Henry Sprueill, Kristina M. Herman, Mario Michael Krell, Tom Murray, Manuel Lopez Roldan, Mike Kraus, Ang Li, Payel Das, Sotiris S. Xantheas, Sutanay Choudhury
2024 J jnl
Accurate and Data-Efficient Micro X-ray Diffraction Phase Identification Using Multitask Learning: Application to Hydrothermal Fluids.
Adv. Intell. Syst.
Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang
2024 J jnl
Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids.
CoRR
Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang
2024 Misc conf
Benchmarking Optimizers for Qumode State Preparation with Variational Quantum Algorithms.
QCE
Shuwen Kan, Miguel Palma, Zefan Du, Samuel A. Stein, Chenxu Liu, Juntao Chen, Ang Li, Ying Mao
2024 A* conf
Bridging the Gap Between LLMs and LNS with Dynamic Data Format and Architecture Codesign.
MICRO
Pouya Haghi, Chunshu Wu, Zahra Azad, Yanfei Li, Andrew Gui, Yuchen Hao, Ang Li, Tony Tong Geng
2024 A* conf
DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems.
ISCA
Ruibing Song, Chunshu Wu, Chuan Liu, Ang Li, Michael C. Huang, Tong Geng
2024 J jnl
Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models.
CoRR
Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, Tong Geng
2024 B conf
Discovery of Floating-Point Differences Between NVIDIA and AMD GPUs.
CCGrid
Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan
2024 — conf
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs.
ICPE (Companion)
Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
2024 A* conf
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World.
ICLR
Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael C. Huang, Tong Geng
2024 J jnl
FPGA-Accelerated Range-Limited Molecular Dynamics.
IEEE Trans. Computers
Chunshu Wu, Chen Yang, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Ang Li, Martin C. Herbordt
2024 B conf
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators.
CCGrid
Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan
2024 J jnl
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators.
CoRR
Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan
2024 J jnl
How Much Can We Gain From Tensor Kernel Fusion on GPUs?
IEEE Access
Wei Sun, Ang Li, Sander Stuijk, Henk Corporaal
2024 J jnl
Inertial Confinement Fusion Forecasting via LLMs.
CoRR
Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu
2024 J jnl
Light-Weight Fault Tolerant Attention for Large Language Model Training.
CoRR
Yuhang Liang, Xinyi Li, Jie Ren, Ang Li, Bo Fang, Jieyang Chen
2024 — conf
NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting.
LoG
Chunshu Wu, Ruibing Song, Chuan Liu, Yuqing Wang, Yousu Chen, Ang Li, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng
2024 — conf
OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model.
USENIX ATC
Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding
2024 — conf
On Scaling Up 3D Gaussian Splatting Training.
ECCV Workshops (23)
Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
2024 J jnl
On Scaling Up 3D Gaussian Splatting Training.
CoRR
Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
2024 Misc conf
PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications.
QCE
Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan
2024 Misc conf
QUAPPROX: A Framework for Benchmarking the Approximability of Variational Quantum Circuit.
ICASSP
Jinyang Li, Ang Li, Weiwen Jiang
2024 J jnl
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.
Future Gener. Comput. Syst.
Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan J. Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev
2024 — conf
RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing.
ASPLOS (2)
Zheng Wang, Yuke Wang, Jiaqi Deng, Da Zheng, Ang Li, Yufei Ding
2024 — conf
Red-QAOA: Efficient Variational Optimization through Circuit Reduction.
ASPLOS (2)
Meng Wang, Bo Fang, Ang Li, Prashant J. Nair
2024 — conf
SNNPG: Using Spiking Neural Networks to Detect Attacks in the Power Grid.
ICONS
Kendric Hood, Ang Li, Qiang Guan
2024 Misc conf
Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System.
QCE
Shuwen Kan, Zefan Du, Miguel Palma, Samuel A. Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao
2024 J jnl
Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System.
CoRR
Shuwen Kan, Zefan Du, Miguel Palma, Samuel A. Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao
2024 A conf
SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications.
ICS
Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng, Martin C. Herbordt
2024 A* conf
Surf-Deformer: Mitigating Dynamic Defects on Surface Code via Adaptive Deformation.
MICRO
Keyi Yin, Xiang Fang, Travis S. Humble, Ang Li, Yunong Shi, Yufei Ding
2024 J jnl
TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC.
CoRR
Ang Li, Chenxu Liu, Samuel A. Stein, In-Saeng Suh, Muqing Zheng, Meng Wang, Yue Shi, Bo Fang, Martin Roetteler, Travis S. Humble
2024 C conf
Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience.
CLUSTER
Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2023 J jnl
A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors.
ACM Trans. Quantum Comput.
Muqing Zheng, Ang Li, Tamás Terlaky, Xiu Yang
2023 Misc conf
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices.
QCE
Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang
2023 J jnl
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices.
CoRR
Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang
2023 A* conf
A Pulse Generation Framework with Augmented Program-aware Basis Gates and Criticality Analysis.
HPCA
Yan-Hao Chen, Yuwei Jin, Fei Hua, Ari B. Hayes, Ang Li, Yunong Shi, Eddy Z. Zhang
2023 Misc conf
A Reference Implementation for a Quantum Message Passing Interface.
QCE
Tommy Nguyen, Yue Shi, Samuel A. Stein, Tim Stavenger, Marvin Warner, Martin Roetteler, Torsten Hoefler, Ang Li
2023 — conf
A Reference Implementation for a Quantum Message Passing Interface.
SC Workshops
Yue Shi, Tommy Nguyen, Samuel A. Stein, Tim Stavenger, Marvin Warner, Martin Roetteler, Torsten Hoefler, Ang Li
2023 J jnl
Accelerating matrix-centric graph processing on GPUs through bit-level optimizations.
J. Parallel Distributed Comput.
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
2023 A* conf
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference.
ICCV
Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023 J jnl
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference.
CoRR
Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023 A conf
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs.
ICS
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li
2023 J jnl
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs.
CoRR
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li
2023 A conf
Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs.
HPDC
Xinyi Li, Ignacio Laguna, Bo Fang, Katarzyna Swirydowicz, Ang Li, Ganesh Gopalakrishnan
2023 J jnl
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors.
IEEE Trans. Parallel Distributed Syst.
Wei Sun, Ang Li, Tong Geng, Sander Stuijk, Henk Corporaal
2023 B conf
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System.
IEEE Big Data
Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel A. Stein, Jinwei Liu, Ang Li, Ying Mao
2023 J jnl
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System.
CoRR
Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel A. Stein, Jinwei Liu, Ang Li, Ying Mao
2023 J jnl
Elastic Resource Management for Deep Learning Applications in a Container Cluster.
IEEE Trans. Cloud Comput.
Ying Mao, Vaishali Sharma, Wenjia Zheng, Long Cheng, Qiang Guan, Ang Li
2023 — conf
Enabling Scalable VQE Simulation on Leading HPC Systems.
SC Workshops
Meng Wang, Fei Hua, Chenxu Liu, Nicholas P. Bauman, Karol Kowalski, Daniel Claudino, Travis S. Humble, Prashant J. Nair, Ang Li
2023 J jnl
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs.
CoRR
Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
2023 A conf
FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics.
SC
Chunshu Wu, Tong Geng, Anqi Guo, Sahan Bandara, Pouya Haghi, Chuan Liu, Ang Li, Martin C. Herbordt
2023 A conf
FLASH: FPGA-Accelerated Smart Switches with GCN Case Study.
ICS
Pouya Haghi, William Krska, Cheng Tan, Tong Geng, Po Hao Chen, Connor Greenwood, Anqi Guo, Thomas M. Hines, Chunshu Wu, Ang Li, Anthony Skjellum, Martin C. Herbordt
2023 A* conf
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems.
MICRO
Samuel A. Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Fred Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco
2023 A* conf
Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning.
DAC
Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, Amit Hasan, Caiwen Ding, Ang Li, Michael C. Huang, Tong Geng
2023 A* conf
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty.
AAAI
Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng
2023 — conf
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation.
SC Workshops
Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao
2023 J jnl
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation.
CoRR
Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao
2023 A* conf
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms.
OSDI
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2023 A* conf
ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs.
DAC
YiXuan Luo, Cheng Tan, Nicolas Bohm Agostini, Ang Li, Antonino Tumeo, Nirav Dave, Tong Geng
2023 J jnl
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications.
CoRR
Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2023 J jnl
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation.
CoRR
Xiaodong Zhao, YiXuan Luo, Juejing Liu, Wenjun Liu, Kevin M. Rosso, Xiaofeng Guo, Tong Geng, Ang Li, Xin Zhang
2023 J jnl
Microarchitectures for Heterogeneous Superconducting Quantum Computers.
CoRR
Samuel A. Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Frederic T. Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco
2023 A* conf
Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum.
ISCA
Samuel A. Stein, Nathan Wiebe, Yufei Ding, James Ang, Ang Li
2023 J jnl
QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation.
ACM Trans. Quantum Comput.
Ang Li, Samuel A. Stein, Sriram Krishnamoorthy, James Ang
2023 — conf
QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices.
SC Workshops
Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel A. Stein, Yufei Ding, Eddy Z. Zhang, Travis S. Humble, Ang Li
2023 A* conf
QuComm: Optimizing Collective Communication for Distributed Quantum Computing.
MICRO
Anbang Wu, Yufei Ding, Ang Li
2023 A conf
Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training.
ICS
Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng
2023 J jnl
Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control.
CoRR
Qiuhua Huang, Renke Huang, Tianzhixi Yin, Sohom Datta, Xueqing Sun, Z. Jason Hou, Jie Tan, Wenhao Yu, Yuan Liu, Xinya Li, Bruce Palmer, Ang Li, Xinda Ke, Marianna Vaiman, Song Wang, Yousu Chen
2022 B conf
A Framework for Neural Network Inference on FPGA-Centric SmartNICs.
FPL
Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt
2022 J jnl
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining.
CoRR
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022 J jnl
A Synergistic Compilation Workflow for Tackling Crosstalk in Quantum Machines.
CoRR
Fei Hua, Yuwei Jin, Ang Li, Yan-Hao Chen, Chi Zhang, Ari B. Hayes, Hang Gao, Eddy Z. Zhang
2022 A* conf
A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining.
DAC
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022 A conf
ASAP: automatic synthesis of area-efficient and precision-aware CGRAs.
ICS
Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li
2022 — conf
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling.
MLSys
Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
2022 J jnl
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling.
CoRR
Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
2022 — conf
Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite.
IPDPS Workshops
Samuel A. Stein, Nathan Wiebe, James Ang, Ang Li
2022 A conf
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU.
IPDPS
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
2022 J jnl
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU.
CoRR
Jou-An Chen, Hsin-Hsuan Sung, Nathan R. Tallent, Kevin J. Barker, Xipeng Shen, Ang Li
2022 A conf
CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression.
ICS
Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
2022 J jnl
CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering.
CoRR
Anbang Wu, Yufei Ding, Ang Li
2022 A* conf
DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs.
HPCA
Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2022 J jnl
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numerical Behaviors.
CoRR
Wei Sun, Ang Li, Tong Geng, Sander Stuijk, Henk Corporaal
2022 A* conf
EQC: ensembled quantum computing for variational quantum algorithms.
ISCA
Samuel A. Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James Ang, Ang Li
2022 C conf
Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning.
CLUSTER
Bo Fang, M. Yusuf Özkaya, Ang Li, Ümit V. Çatalyürek, Sriram Krishnamoorthy
2022 J jnl
Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning.
CoRR
Bo Fang, M. Yusuf Özkaya, Ang Li, Ümit V. Çatalyürek, Sriram Krishnamoorthy
2022 J jnl
Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms.
CoRR
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2022 J jnl
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry.
CoRR
Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris S. Xantheas, Sutanay Choudhury
2022 Misc conf
FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks.
FCCM
Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt
2022 J jnl
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm.
CoRR
Yanfei Li, Tong Geng, Samuel A. Stein, Ang Li, Huimin Yu
2022 A* conf
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design.
HPCA
Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
2022 J jnl
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing.
CoRR
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding
2022 B conf
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture.
FPL
Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao
2022 J jnl
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture.
CoRR
Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao
2022 J jnl
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization.
CoRR
Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li
2022 — conf
Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles.
IPDPS Workshops
Samuel Alexander Stein, Nathan Wiebe, James Ang, Ang Li
2022 — conf
International Workshop on Quantum Classical Cooperative Computing (QCCC 2022).
IPDPS Workshops
Ang Li, Qiang Guan
2022 C conf
MARS: Malleable Actor-Critic Reinforcement Learning Scheduler.
IPCCC
Betis Baheri, Jacob Tronge, Bo Fang, Ang Li, Vipin Chaudhary, Qiang Guan
2022 J jnl
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems.
CoRR
Jieyang Chen, Chenhao Xie, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2022 J jnl
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation.
CoRR
Samuel A. Stein, Ying Mao, James Ang, Ang Li
2022 Misc conf
QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation.
SEC
Samuel A. Stein, Ying Mao, James Ang, Ang Li
2022 — conf
QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity.
MLSys
Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Shuai Xu, Caiwen Ding
2022 C conf
Quantum Noise in the Flow of Time: A Temporal Study of the Noise in Quantum Computers.
IOLTS
Betis Baheri, Qiang Guan, Vipin Chaudhary, Ang Li
2022 — conf
SO(DA)
PARMA-DITAM@HiPEAC
Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano
2022 — conf
Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications.
FTXS@SC
Bo Fang, Siva Kumar Sastry Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin J. Barker, Ang Li
2021 C conf
A Hybrid System for Learning Classical Data in Quantum States.
IPCCC
Samuel A. Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang
2021 — conf
A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs.
HPEC
Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li
2021 J jnl
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores.
CoRR
Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
2021 A conf
APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores.
SC
Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
2021 J jnl
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing.
IEEE Trans. Parallel Distributed Syst.
Cheng Tan, Chenhao Xie, Tong Geng, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li
2021 A conf
AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators.
DATE
Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo
2021 J jnl
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs.
IEEE Trans. Parallel Distributed Syst.
Ang Li, Simon Su
2021 — conf
Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning.
ISQED
Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding
2021 J jnl
BCNN: Binary Complex Neural Network.
CoRR
Yanfei Li, Tong Geng, Ang Li, Huimin Yu
2021 J jnl
BCNN: Binary complex neural network.
Microprocess. Microsystems
Yanfei Li, Tong Geng, Ang Li, Huimin Yu
2021 — conf
Binary Complex Neural Network Acceleration on FPGA : (Invited Paper).
ASAP
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021 J jnl
Binary Complex Neural Network Acceleration on FPGA.
CoRR
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021 J jnl
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression.
CoRR
Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
2021 C conf
DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications.
ICCD
Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2021 A conf
FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper.
ICCAD
Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang
2021 B conf
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures.
ICPP
Chenhao Xie, Jieyang Chen, Jesun Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2021 A conf
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency.
ICCAD
Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
2021 J jnl
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency.
CoRR
Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
2021 J jnl
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design.
CoRR
Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
2021 — conf
Guarding Numerics Amidst Rising Heterogeneity.
Correctness@SC
Ganesh Gopalakrishnan, Ignacio Laguna, Ang Li, Pavel Panchekha, Cindy Rubio-González, Zachary Tatlock
2021 A* conf
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization.
MICRO
Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li
2021 J jnl
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning.
CoRR
Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du
2021 J jnl
O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference.
IEEE Trans. Parallel Distributed Syst.
Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Runbin Shi, Wei Wu, Martin C. Herbordt
2021 — conf
OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays.
ASAP
Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
2021 A conf
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper).
ICCAD
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
2021 J jnl
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search.
CoRR
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
2021 Misc conf
QuGAN: A Quantum State Fidelity based Generative Adversarial Network.
QCE
Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu
2021 A conf
SV-sim: scalable PGAS-based state vector simulation of quantum circuits.
SC
Ang Li, Bo Fang, Christopher E. Granade, Guen Prawiroatmodjo, Bettina Heim, Martin Roetteler, Sriram Krishnamoorthy
2021 — conf
TQEA: Temporal Quantum Error Analysis.
DSN (Supplements)
Betis Baheri, Daniel Chen, Bo Fang, Samuel A. Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan
2020 J jnl
A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors.
CoRR
Muqing Zheng, Ang Li, Tamás Terlaky, Xiu Yang
2020 J jnl
A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs.
CoRR
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
2020 — conf
A Sparse Tensor Benchmark Suite for CPUs and GPUs.
IISWC
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
2020 B conf
A parallel sparse tensor benchmark suite on CPUs and GPUs.
PPoPP
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
2020 J jnl
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing.
CoRR
Cheng Tan, Chenhao Xie, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li
2020 A* conf
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing.
MICRO
Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steven K. Reinhardt, Martin C. Herbordt
2020 J jnl
Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control.
CoRR
Renke Huang, Yujiao Chen, Tianzhixi Yin, Xinya Li, Ang Li, Jie Tan, Qiuhua Huang
2020 J jnl
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs.
CoRR
Ang Li, Simon Su
2020 — conf
CQNN: a CGRA-based QNN Framework.
HPEC
Tong Geng, Chunshu Wu, Cheng Tan, Bo Fang, Ang Li, Martin C. Herbordt
2020 J jnl
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks.
CoRR
Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang
2020 A conf
CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks.
ICS
Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang
2020 A conf
Density matrix quantum circuit simulation via the BSP machine on modern GPU clusters.
SC
Ang Li, Omer Subasi, Xiu Yang, Sriram Krishnamoorthy
2020 B conf
Detecting Anomalous Computation with RNNs on GPU-Accelerated HPC Machines.
ICPP
Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
2020 J jnl
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect.
IEEE Trans. Parallel Distributed Syst.
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2020 J jnl
FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters.
IEEE Trans. Computers
Tianqi Wang, Tong Geng, Ang Li, Xi Jin, Martin C. Herbordt
2020 J jnl
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures.
CoRR
Chenhao Xie, Jieyang Chen, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2020 B conf
Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems.
CCGRID
Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
2020 — conf
On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics.
HPEC
Jesun Sahariar Firoz, Ang Li, Jiajia Li, Kevin J. Barker
2020 C conf
OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs.
ICCD
Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo
2019 J jnl
A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing.
CoRR
Tong Geng, Tianqi Wang, Ang Li, Xi Jin, Martin C. Herbordt
2019 A conf
BSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets.
SC
Ang Li, Tong Geng, Tianqi Wang, Martin C. Herbordt, Shuaiwen Leon Song, Kevin J. Barker
2019 J jnl
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect.
CoRR
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2019 — conf
Fingerprinting Anomalous Computation with RNN for GPU-accelerated HPC Machines.
IISWC
Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
2019 — conf
LP-BNN: Ultra-low-Latency BNN Inference with Layer Parallelism.
ASAP
Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Shuaiwen Leon Song, Ang Li, Martin C. Herbordt
2019 A conf
O3BNN: an out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning.
ICS
Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Wei Wu, Ang Li, Martin C. Herbordt
2019 J jnl
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite.
CoRR
Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
2019 J jnl
PASTA: a parallel sparse tensor algorithm benchmark suite.
CCF Trans. High Perform. Comput.
Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
2019 A* conf
PIM-VR: Erasing Motion Anomalies In Highly-Interactive Virtual Reality World with Customized Memory Cube.
HPCA
Chenhao Xie, Xingyao Zhang, Ang Li, Xin Fu, Shuaiwen Song
2019 J jnl
UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing.
CoRR
Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Antonino Tumeo, Martin C. Herbordt
2018 A conf
CUDAAdvisor: LLVM-based runtime profiling for modern GPUs.
CGO
Du Shen, Shuaiwen Leon Song, Ang Li, Xu Liu
2018 — conf
Introduction to HPPAC 2018.
IPDPS Workshops
Shuaiwen Leon Song, Natalie J. Bates, Ang Li
2018 J jnl
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks.
CoRR
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
2018 B conf
Superneurons: dynamic GPU memory management for training deep neural networks.
PPoPP
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
2018 — conf
Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite.
IISWC
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2018 A conf
Warp-Consolidation: A Novel Execution Model for GPUs.
ICS
Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song
2017 — conf
Analysis and design of energy-efficient data-dependent SRAM.
ASICON
Wenfeng Zhao, Ang Li, Yi Wang, Yajun Ha
2017 A* conf
BVF: enabling significant on-chip power savings via bit-value-favor for throughput processors.
MICRO
Ang Li, Wenfeng Zhao, Shuaiwen Leon Song
2017 A conf
Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels.
SC
Ang Li, Weifeng Liu, Mads Ruben Burgdorff Kristensen, Brian Vinter, Hao Wang, Kaixi Hou, Andres Marquez, Shuaiwen Leon Song
2017 J jnl
Fast synchronization-free algorithms for parallel sparse triangular solves with multiple right-hand sides.
Concurr. Comput. Pract. Exp.
Weifeng Liu, Ang Li, Jonathan D. Hogg, Iain S. Duff, Brian Vinter
2017 A* conf
Locality-Aware CTA Clustering for Modern GPUs.
ASPLOS
Ang Li, Shuaiwen Leon Song, Weifeng Liu, Xu Liu, Akash Kumar, Henk Corporaal
2016 — conf
A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves.
Euro-Par
Weifeng Liu, Ang Li, Jonathan D. Hogg, Iain S. Duff, Brian Vinter
2016 A conf
Critical points based register-concurrency autotuning for GPUs.
DATE
Ang Li, Shuaiwen Leon Song, Akash Kumar, Eddy Z. Zhang, Daniel G. Chavarría-Miranda, Henk Corporaal
2016 A conf
SFU-Driven Transparent Approximation Acceleration on GPUs.
ICS
Ang Li, Shuaiwen Leon Song, Mark Wijtvliet, Akash Kumar, Henk Corporaal
2016 A conf
X: A Comprehensive Analytic Model for Parallel Machines.
IPDPS
Ang Li, Shuaiwen Leon Song, Eric Brugel, Akash Kumar, Daniel G. Chavarría-Miranda, Henk Corporaal
2015 C conf
A Locality Aware Convolutional Neural Networks Accelerator.
DSD
Runbin Shi, Zheng Xu, Zhihao Sun, Maurice Peemen, Ang Li, Henk Corporaal, Di Wu
2015 J jnl
Accelerating Non-volatile/Hybrid Processor Cache Design Space Exploration for Application Specific Embedded Systems.
CoRR
Mohammad Shihabul Haque, Ang Li, Akash Kumar, Qingsong Wei
2015 — conf
Accelerating non-volatile/hybrid processor cache design space exploration for application specific embedded systems.
ASP-DAC
Mohammad Shihabul Haque, Ang Li, Akash Kumar, Qingsong Wei
2015 A conf
Adaptive and transparent cache bypassing for GPUs.
SC
Ang Li, Gert-Jan van den Braak, Akash Kumar, Henk Corporaal
2015 J jnl
Correlation ratio based volume image registration on GPUs.
Microprocess. Microsystems
Ang Li, Akash Kumar, Yajun Ha, Henk Corporaal
2015 A conf
Fine-Grained Synchronizations and Dataflow Programming on GPUs.
ICS
Ang Li, Gert-Jan van den Braak, Henk Corporaal, Akash Kumar
2015 A conf
Transit: A Visual Analytical Model for Multithreaded Machines.
HPDC
Ang Li, Y. C. Tay, Akash Kumar, Henk Corporaal
2014 — conf
A heterogeneous platform with GPU and FPGA for power efficient high performance computing.
ISIC
Qiang Wu, Yajun Ha, Akash Kumar, Shaobo Luo, Ang Li, Shihab Mohamed
2014 C conf
Accelerating Volume Image Registration through Correlation Ratio Based Methods on GPUs.
DSD
Ang Li, Akash Kumar