Bin Ren

According to our database, Bin Ren authored at least 99 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices.

Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Jun Liu, Mei Zhang, Yanzhi Wang, Xue Lin, Bin Ren

ACM Trans. Archit. Code Optim., September, 2025

HiSin: Efficient High-Resolution Sinogram Inpainting via Resolution-Guided Progressive Inference.

Jiaze E, Srutarshi Banerjee, Tekin Bicer, Guannan Wang, Yanfu Zhang, Bin Ren

CoRR, June, 2025

Towards Recognizing Food Types for Unseen Subjects.

Jiexiong Guan, Junjie Wang, Wei Niu, Zhen Peng, Shuangquan Wang, Zhenming Liu, Gang Zhou, Bin Ren

ACM Trans. Comput. Heal., January, 2025

TMModel: Modeling Texture Memory and Mobile GPU Performance to Accelerate DNN Computations.

Jiexiong Guan, Zhenqing Hu, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Evgenia Smirni, Gang Zhou, Gagan Agrawal, Bin Ren

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

Generalizing Reuse Patterns for Efficient DNN on Microcontrollers.

Jiesong Liu, Bin Ren, Xipeng Shen

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

On Item-Sampling Evaluation for Recommender System.

Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu

Trans. Recomm. Syst., March, 2024

FCDM: Sparse-view Sinogram Inpainting with Frequency Domain Convolution Enhanced Diffusion Models.

Jiaze E, Srutarshi Banerjee, Tekin Bicer, Guannan Wang, Bin Ren

CoRR, 2024

SoD²: Statically Optimizing Dynamic Deep Neural Network.

Wei Niu, Gagan Agrawal, Bin Ren

CoRR, 2024

DEFCON: Deformable Convolutions Leveraging Interval Search and GPU Texture Hardware.

Malith Jayaweera, Yanyu Li, Yanzhi Wang, Bin Ren, David R. Kaeli

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes.

Mert Hidayetoglu, Simon Garcia De Gonzalo, Elliott Slaughter, Yu Li, Christopher Zimmer, Tekin Bicer, Bin Ren, William Gropp, Wen-Mei Hwu, Alex Aiken

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization.

Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices.

Yushu Wu, Chao Wu, Geng Yuan, Yanyu Li, Weichao Guo, Jing Rao, Xipeng Shen, Bin Ren, Yanzhi Wang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile.

Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

SoD²: Statically Optimizing Dynamic Deep Neural Network Execution.

Wei Niu, Gagan Agrawal, Bin Ren

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Survey: Exploiting Data Redundancy for Optimization of Deep Learning.

Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen

ACM Comput. Surv., 2023

Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices.

Hsin-Hsuan Sung, Jou-An Chen, Wei Niu, Jiexiong Guan, Bin Ren, Xipeng Shen

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge.

Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.

Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Real-Time Segmentation on the Edge.

Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Reliable Item Sampling for Recommendation Evaluation.

Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging.

Mert Hidayetoglu, Tekin Biçer, Simon Garcia de Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-Mei W. Hwu

IEEE Trans. Parallel Distributed Syst., 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

GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity.

Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren

IEEE Trans. Pattern Anal. Mach. Intell., 2022

CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework.

Xiaofeng Li, Bin Ren, Xipeng Shen, Yanzhi Wang

CoRR, 2022

Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card.

Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen

Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022

SparCL: Sparse Continual Learning on the Edge.

Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy

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

Towards Socially Acceptable Food Type Recognition.

Junjie Wang, Jiexiong Guan, Y. Alicia Hong, Hong Xue, Shuangquan Wang, Zhenming Liu, Bin Ren, Gang Zhou

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

GCD²: A Globally Optimizing Compiler for Mapping DNNs to Mobile DSPs.

Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning.

Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Real-Time Portrait Stylization on the Edge.

Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.

Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning.

Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SPViT: Enabling Faster Vision Transformers via Soft Token Pruning.

Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang

CoRR, 2021

Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card.

Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen

CoRR, 2021

Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search.

Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin

CoRR, 2021

A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR.

Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor

CoRR, 2021

CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design.

Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao

Commun. ACM, 2021

Toward efficient interactions between Python and native libraries.

Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search.

Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin

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

DNNFusion: accelerating deep neural networks execution with advanced operator fusion.

Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren

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

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.

Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A High Performance Sparse Tensor Algebra Compiler in MLIR.

Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor

Proceedings of the 7th IEEE/ACM Workshop on the LLVM Compiler Infrastructure in HPC, 2021

Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices.

Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Compression-Compilation Framework for On-mobile Real-time BERT Applications.

Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.

Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.

Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms.

Qihan Wang, Wei Niu, Li Chen, Ruoming Jin, Bin Ren

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles.

Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.

Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications.

Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.

Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren

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

Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device.

Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin

CoRR, 2020

6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.

Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin

CoRR, 2020

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.

Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao

CoRR, 2020

Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.

Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang

CoRR, 2020

Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.

Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren

CoRR, 2020

CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way.

Shaoshan Liu, Bin Ren, Xipeng Shen, Yanzhi Wang

CoRR, 2020

A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.

Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin

CoRR, 2020

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.

Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao

CoRR, 2020

BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method.

Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang

CoRR, 2020

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices.

Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

CoRR, 2020

Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes.

Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu

Proceedings of the International Conference for High Performance Computing, 2020

COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry.

Erdal Mutlu, Ruiqin Tian, Bin Ren, Sriram Krishnamoorthy, Roberto Gioiosa, Jacques Pienaar, Gokcen Kestor

Proceedings of the Languages and Compilers for Parallel Computing, 2020

Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization.

Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms.

Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

On Efficient Constructions of Checkpoints.

Yu Chen, Zhenming Liu, Bin Ren, Xin Jin

Proceedings of the 37th International Conference on Machine Learning, 2020

A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework.

Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices.

Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.

Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

ATMem: adaptive data placement in graph applications on heterogeneous memories.

Yu Chen, Ivy Bo Peng, Zhen Peng, Xu Liu, Bin Ren

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning.

Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices.

Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Extracting SIMD Parallelism from Recursive Task-Parallel Programs.

Bin Ren, Shruthi Balakrishna, Youngjoon Jo, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni

ACM Trans. Parallel Comput., 2019

Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage!

Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren

CoRR, 2019

26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone.

Wei Niu, Xiaolong Ma, Yanzhi Wang, Bin Ren

CoRR, 2019

MemXCT: memory-centric X-ray CT reconstruction with massive parallelization.

Mert Hidayetoglu, Tekin Biçer, Simon Garcia De Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-mei W. Hwu

Proceedings of the International Conference for High Performance Computing, 2019

Transforming Query Sequences for High-Throughput B+ Tree Processing on Many-Core Processors.

Ruiqin Tian, Junqiao Qiu, Zhijia Zhao, Xu Liu, Bin Ren

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

2018

Graphphi: efficient parallel graph processing on emerging throughput-oriented architectures.

Zhen Peng, Alexander Powell, Bo Wu, Tekin Bicer, Bin Ren

Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017

Exploiting Vector and Multicore Parallelism for Recursive, Data- and Task-Parallel Programs.

Bin Ren, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments.

Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Bin Ren, Vincent De Andrade, Francesco De Carlo

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016

User-Assisted Store Recycling for Dynamic Task Graph Schedulers.

Mehmet Can Kurt, Sriram Krishnamoorthy, Gagan Agrawal, Bin Ren

ACM Trans. Archit. Code Optim., 2016

User-assisted storage reuse determination for dynamic task graphs.

Mehmet Can Kurt, Bin Ren, Sriram Krishnamoorthy, Gagan Agrawal

Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

On the Impact of Widening Vector Registers on Sequence Alignment.

Jeffrey Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Bin Ren

Proceedings of the 45th International Conference on Parallel Processing, 2016

MicroSpec: Speculation-Centric Fine-Grained Parallelization for FSM Computations.

Junqiao Qiu, Zhijia Zhao, Bin Ren

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

2015

Efficient execution of recursive programs on commodity vector hardware.

Bin Ren, Youngjoon Jo, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni

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

Automatic and Efficient Data Host-Device Communication for Many-Core Coprocessors.

Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar

Proceedings of the Languages and Compilers for Parallel Computing, 2015

Low-Overhead Fault-Tolerance Support Using DISC Programming Model.

Mehmet Can Kurt, Bin Ren, Gagan Agrawal

Proceedings of the Languages and Compilers for Parallel Computing, 2015

Efficient and Simplified Parallel Graph Processing over CPU and MIC.

Linchuan Chen, Xin Huo, Bin Ren, Surabhi Jain, Gagan Agrawal

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014

A Portable Optimization Engine for Accelerating Irregular Data-Traversal Applications on SIMD Architectures.

Bin Ren, Todd Mytkowicz, Gagan Agrawal

ACM Trans. Archit. Code Optim., 2014

Automating and optimizing data transfers for many-core coprocessors.

Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar

Proceedings of the 2014 International Conference on Supercomputing, 2014

A programming system for xeon phis with runtime SIMD parallelization.

Xin Huo, Bin Ren, Gagan Agrawal

Proceedings of the 2014 International Conference on Supercomputing, 2014

2013

SIMD parallelization of applications that traverse irregular data structures.

Bin Ren, Gagan Agrawal, James R. Larus, Todd Mytkowicz, Tomi Poutanen, Wolfram Schulte

Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization, 2013

2012

Fine-grained parallel traversals of irregular data structures.

Bin Ren, Gagan Agrawal, James R. Larus, Todd Mytkowicz, Tomi Poutanen, Wolfram Schulte

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2012

2011

Translating Chapel to Use FREERIDE: A Case Study in Using an HPC Language for Data-Intensive Computing.

Bin Ren, Gagan Agrawal, Bradford L. Chamberlain, Steven J. Deitz

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Compiling Dynamic Data Structures in Python to Enable the Use of Multi-core and Many-core Libraries.

Bin Ren, Gagan Agrawal

Proceedings of the 2011 International Conference on Parallel Architectures and Compilation Techniques, 2011