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ORCIDWen-Mei W. Hwu
Wen-mei W. Hwu – Wen-Mei Hwu
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- affiliation: University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering
- award (1999): Grace Murray Hopper Award
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2020 – today
- 2021
[j76]Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu:
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. Proc. VLDB Endow. 14(11): 2087-2100 (2021)- [j75]Qin Li, Xiaofan Zhang
, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Efficient Methods for Mapping Neural Machine Translator on FPGAs. IEEE Trans. Parallel Distributed Syst. 32(7): 1866-1877 (2021) - [c222]Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu:
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. ACL/IJCNLP (1) 2021: 3641-3651 - [c221]Ashutosh Dhar, Paul Reckamp, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Graviton: A Reconfigurable Memory-Compute Fabric for Data Intensive Applications. ARC 2021: 254-264 - [c220]Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic:
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC 2021: 372-377 - [c219]Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CVPR Workshops 2021: 2378-2387 - [c218]Chengyue Wang, Sitao Huang, Wen-Mei Hwu, Deming Chen:
Extending HLS with High-Level Descriptive Language for Configurable Algorithm-Level Spatial Structure Design. FCCM 2021: 261 - [c217]Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu:
PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. FPGA 2021: 227-228 - [c216]Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu:
TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes. HPDC 2021: 95-106 - [c215]Sultan Durrani, Muhammad Saad Chughtai, Abdul Dakkak, Wen-Mei Hwu, Lawrence Rauchwerger:
FFT blitz: the tensor cores strike back. PPoPP 2021: 488-489 - [c214]Omer Anjum, Mohammad Almasri, Jinjun Xiong, Wen-Mei W. Hwu:
PhraseScope: An Effective and Unsupervised Framework for Mining High Quality Phrases. SDM 2021: 639-647 - [i45]Vikram Sharma Mailthody, James Wei, Nicholas Chen, Mohammad Behnia, Ruihao Yao, Qihao Wang, Vedant Agrawal, Churan He, Lijian Wang, Leihao Chen, Amit Agarwal, Edward Richter, Wen-Mei Hwu, Christopher W. Fletcher, Jinjun Xiong, Andrew Miller, Sanjay Patel:
Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19. CoRR abs/2101.07897 (2021) - [i44]Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu:
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses. CoRR abs/2101.07956 (2021) - [i43]Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu:
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. CoRR abs/2103.03330 (2021) - [i42]Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-Mei W. Hwu:
K-Clique Counting on GPUs. CoRR abs/2104.13209 (2021) - [i41]Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CoRR abs/2104.14082 (2021) - [i40]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu:
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. CoRR abs/2105.13255 (2021) - [i39]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei W. Hwu:
Open Relation Modeling: Learning to Define Relations between Entities. CoRR abs/2108.09241 (2021) - 2020
- [j74]Seungwon Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-Mei Hwu:
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs. Proc. VLDB Endow. 14(2): 114-127 (2020) - [j73]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei Hwu, Kaushik Roy:
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM. IEEE Trans. Computers 69(8): 1128-1142 (2020) - [c213]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu:
The Design and Implementation of a Scalable Deep Learning Benchmarking Platform. CLOUD 2020: 414-425 - [c212]Abdul Dakkak, Tom Wickham-Jones, Wen-Mei Hwu:
The design and implementation of the wolfram language compiler. CGO 2020: 212-228 - [c211]Omer Anjum, Chak Ho Chan, Tanitpong Lawphongpanich, Yucheng Liang, Tianyi Tang, Shuchen Zhang, Wen-Mei Hwu, Jinjun Xiong, Sanjay Patel:
Vertext: An End-to-end AI Powered Conversation Management System for Multi-party Chat Platforms. CSCW Companion 2020: 1-6 - [c210]Zhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CVPR Workshops 2020: 4043-4047 - [c209]Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CVPR 2020: 12632-12641 - [c208]Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen:
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. DAC 2020: 1-6 - [c207]Jie Huang, Zilong Wang, Kevin Chang, Wen-Mei Hwu, Jinjun Xiong:
Exploring Semantic Capacity of Terms. EMNLP (1) 2020: 8509-8518 - [c206]Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. ACM Great Lakes Symposium on VLSI 2020: 283-290 - [c205]Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-Mei Hwu:
At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation. HPEC 2020: 1-7 - [c204]Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. ICCAD 2020: 61:1-61:9 - [c203]Mohamed El-Hadedy, Martin Margala, Sergiu Mosanu, Danilo Gligoroski, Jinjun Xiong, Wen-Mei Hwu:
Micro - GAGE: A Low-power Compact GAGE Hash Function Processor for IoT Applications. ICECS 2020: 1-4 - [c202]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu:
XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs. IPDPS 2020: 326-327 - [c201]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. IPDPS 2020: 440-450 - [c200]Carl Pearson, Mert Hidayetoglu, Mohammad Almasri, Omer Anjum, I-Hsin Chung, Jinjun Xiong, Wen-Mei W. Hwu:
Node-Aware Stencil Communication for Heterogeneous Supercomputers. IPDPS Workshops 2020: 796-805 - [c199]Wen-Mei Hwu:
Advancing Computing Infrastructure for Very Large-Scale Deep Learning at C3SR. IPDPS Workshops 2020: 989 - [c198]Ashutosh Dhar, Xiaohao Wang, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei W. Hwu, Nam Sung Kim, Deming Chen:
FReaC Cache: Folded-logic Reconfigurable Computing in the Last Level Cache. MICRO 2020: 102-117 - [c197]Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen:
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. MLSys 2020 - [c196]Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-mei W. Hwu:
DLSpec: A Deep Learning Task Exchange Specification. OpML 2020 - [c195]Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes. SC 2020: 37 - [c194]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. ICPE 2020: 202-209 - [e5]Eduard Ayguadé, Wen-mei W. Hwu, Rosa M. Badia, H. Peter Hofstee:
ICS '20: 2020 International Conference on Supercomputing, Barcelona Spain, June, 2020. ACM 2020, ISBN 978-1-4503-7983-0 [contents] - [i38]Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu:
MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale. CoRR abs/2002.08295 (2020) - [i37]Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu:
DLSpec: A Deep Learning Task Exchange Specification. CoRR abs/2002.11262 (2020) - [i36]Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CoRR abs/2003.08040 (2020) - [i35]Zhonghao Wang, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CoRR abs/2004.00794 (2020) - [i34]Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. CoRR abs/2005.02563 (2020) - [i33]Seungwon Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-Mei W. Hwu:
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs. CoRR abs/2006.06890 (2020) - [i32]Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-mei W. Hwu:
Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020. CoRR abs/2007.14152 (2020) - [i31]Zaid Qureshi, Vikram Sharma Mailthody, Seungwon Min, I-Hsin Chung, Jinjun Xiong, Wen-Mei W. Hwu:
Tearing Down the Memory Wall. CoRR abs/2008.10169 (2020) - [i30]Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. CoRR abs/2008.12745 (2020) - [i29]Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes. CoRR abs/2009.07226 (2020) - [i28]Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong:
Exploring Semantic Capacity of Terms. CoRR abs/2010.01898 (2020) - [i27]Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. CoRR abs/2010.07185 (2020) - [i26]Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi:
Interpretable Visual Reasoning via Induced Symbolic Space. CoRR abs/2011.11603 (2020) - [i25]Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu:
Fast CUDA-Aware MPI Datatypes without Platform Support. CoRR abs/2012.14363 (2020)
2010 – 2019
- 2019
- [c193]Abdul Dakkak, Cheng Li, Simon Garcia De Gonzalo, Jinjun Xiong, Wen-Mei Hwu:
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep Learning Inference in Function-as-a-Service. CLOUD 2019: 372-382 - [c192]Qin Li, Xiaofan Zhang, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Implementing neural machine translation with bi-directional GRU and attention mechanism on FPGAs using HLS. ASP-DAC 2019: 693-698 - [c191]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-mei W. Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic:
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. ASPLOS 2019: 715-731 - [c190]Ahmed H. M. O. Abulila, Vikram Sharma Mailthody, Zaid Qureshi, Jian Huang, Nam Sung Kim, Jinjun Xiong, Wen-Mei W. Hwu:
FlatFlash: Exploiting the Byte-Accessibility of SSDs within a Unified Memory-Storage Hierarchy. ASPLOS 2019: 971-985 - [c189]Simon Garcia De Gonzalo, Sitao Huang, Juan Gómez-Luna, Simon D. Hammond, Onur Mutlu, Wen-Mei Hwu:
Automatic Generation of Warp-Level Primitives and Atomic Instructions for Fast and Portable Parallel Reduction on GPUs. CGO 2019: 73-84 - [c188]Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen:
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. DAC 2019: 206 - [c187]Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, Jinjun Xiong:
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space. EMNLP/IJCNLP (1) 2019: 518-528 - [c186]Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu:
Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. FPL 2019: 301-306 - [c185]Omer Anjum, Simon Garcia De Gonzalo, Mert Hidayetoglu, Wen-Mei Hwu:
An Efficient GPU Implementation Technique for Higher-Order 3D Stencils. HPCC/SmartCity/DSS 2019: 552-561 - [c184]Mohammad Almasri, Omer Anjum, Carl Pearson, Zaid Qureshi, Vikram S. Mailthody, Rakesh Nagi, Jinjun Xiong, Wen-Mei W. Hwu:
Update on k-truss Decomposition on GPU. HPEC 2019: 1-7 - [c183]Sitao Huang, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Deming Chen, Wen-Mei W. Hwu:
Accelerating Sparse Deep Neural Networks on FPGAs. HPEC 2019: 1-7 - [c182]Carl Pearson, Mohammad Almasri, Omer Anjum, Vikram S. Mailthody, Zaid Qureshi, Rakesh Nagi, Jinjun Xiong, Wen-Mei W. Hwu:
Update on Triangle Counting on GPU. HPEC 2019: 1-7 - [c181]Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-Mei Hwu, Junli Gu, Deming Chen:
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving. ICCAD 2019: 1-8 - [c180]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. ICCV 2019: 5217-5227 - [c179]Abdul Dakkak, Cheng Li, Jinjun Xiong, Isaac Gelado, Wen-Mei W. Hwu:
Accelerating reduction and scan using tensor core units. ICS 2019: 46-57 - [c178]Ashutosh Dhar, Sitao Huang, Jinjun Xiong, Damir Jamsek, Bruno Mesnet, Jian Huang, Nam Sung Kim, Wen-Mei W. Hwu, Deming Chen:
Near-Memory and In-Storage FPGA Acceleration for Emerging Cognitive Computing Workloads. ISVLSI 2019: 68-75 - [c177]Vikram Sharma Mailthody, Zaid Qureshi, Weixin Liang, Ziyan Feng, Simon Garcia De Gonzalo, Youjie Li, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei Hwu:
DeepStore: In-Storage Acceleration for Intelligent Queries. MICRO 2019: 224-238 - [c176]Hongyu Gong, Suma Bhat, Lingfei Wu, Jinjun Xiong, Wen-Mei W. Hwu:
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus. NAACL-HLT (1) 2019: 3168-3180 - [c175]Mert Hidayetoglu, Tekin Biçer, Simon Garcia De Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
MemXCT: memory-centric X-ray CT reconstruction with massive parallelization. SC 2019: 85:1-85:56 - [c174]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
MLModelScope: Evaluate and Introspect Cognitive Pipelines. SERVICES 2019: 335-338 - [c173]Sitao Huang, Li-Wen Chang, Izzat El Hajj, Simon Garcia De Gonzalo, Juan Gómez-Luna, Sai Rahul Chalamalasetti, Mohamed El-Hadedy, Dejan S. Milojicic, Onur Mutlu, Deming Chen, Wen-Mei W. Hwu:
Analysis and Modeling of Collaborative Execution Strategies for Heterogeneous CPU-FPGA Architectures. ICPE 2019: 79-90 - [c172]Carl Pearson, Abdul Dakkak, Sarah Hashash, Cheng Li, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu:
Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects. ICPE 2019: 209-218 - [i24]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-Mei Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic:
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. CoRR abs/1901.10351 (2019) - [i23]Hongyu Gong, Suma Bhat, Lingfei Wu, Jinjun Xiong, Wen-Mei Hwu:
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus. CoRR abs/1903.10671 (2019) - [i22]Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen:
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. CoRR abs/1904.04421 (2019) - [i21]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
Challenges and Pitfalls of Reproducing Machine Learning Artifacts. CoRR abs/1904.12437 (2019) - [i20]Xiaofan Zhang, Cong Hao, Yuhong Li, Yao Chen, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices. CoRR abs/1905.08369 (2019) - [i19]Omer Anjum, Wen-Mei Hwu, Jinjun Xiong:
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications. CoRR abs/1906.09380 (2019) - [i18]Xiaofan Zhang, Cong Hao, Haoming Lu, Jiachen Li, Yuhong Li, Yuchen Fan, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen:
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection. CoRR abs/1906.10327 (2019) - [i17]Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu:
Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. CoRR abs/1908.01261 (2019) - [i16]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu:
Across-Stack Profiling and Characterization of Machine Learning Models on GPUs. CoRR abs/1908.06869 (2019) - [i15]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. CoRR abs/1908.09798 (2019) - [i14]Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-mei W. Hwu, Deming Chen:
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. CoRR abs/1909.09709 (2019) - [i13]Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, Jinjun Xiong:
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space. CoRR abs/1909.11258 (2019) - [i12]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. CoRR abs/1911.06922 (2019) - [i11]Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-Mei Hwu, Junli Gu, Deming Chen:
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving. CoRR abs/1911.07446 (2019) - [i10]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu:
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. CoRR abs/1911.07967 (2019) - [i9]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu:
The Design and Implementation of a Scalable DL Benchmarking Platform. CoRR abs/1911.08031 (2019) - [i8]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei W. Hwu, Kaushik Roy:
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM. CoRR abs/1912.11516 (2019) - 2018
- [j72]Seungwon Min, Mohammad Alian, Wen-Mei Hwu, Nam Sung Kim:
Semi-Coherent DMA: An Alternative I/O Coherency Management for Embedded Systems. IEEE Comput. Archit. Lett. 17(2): 221-224 (2018) - [j71]José M. Cecilia, Antonio Llanes, José L. Abellán, Juan Gómez-Luna, Li-Wen Chang, Wen-Mei W. Hwu:
High-throughput Ant Colony Optimization on graphics processing units. J. Parallel Distributed Comput. 113: 261-274 (2018) - [j70]Onur Mutlu, Scott A. Mahlke, Thomas M. Conte, Wen-Mei W. Hwu:
Iterative Modulo Scheduling. IEEE Micro 38(1): 115-117 (2018) - [j69]Wen-Mei Hwu, Sanjay J. Patel:
Accelerator Architectures A Ten-Year Retrospective. IEEE Micro 38(6): 56-62 (2018) - [c171]Xiaofan Zhang, Junsong Wang, Chao Zhu, Yonghua Lin, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
AccDNN: An IP-Based DNN Generator for FPGAs. FCCM 2018: 210 - [c170]Sitao Huang, Mohamed El-Hadedy, Cong Hao, Qin Li, Vikram S. Mailthody, Ketan Date, Jinjun Xiong, Deming Chen, Rakesh Nagi, Wen-Mei Hwu:
Triangle Counting and Truss Decomposition using FPGA. HPEC 2018: 1-7 - [c169]Vikram S. Mailthody, Ketan Date, Zaid Qureshi, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu:
Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition. HPEC 2018: 1-7 - [c168]Xiaofan Zhang, Junsong Wang, Chao Zhu, Yonghua Lin, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
DNNBuilder: an automated tool for building high-performance DNN hardware accelerators for FPGAs. ICCAD 2018: 56 - [c167]Joao Ambrosi, Aayush Ankit, Rodrigo Antunes, Sai Rahul Chalamalasetti, Soumitra Chatterjee, Izzat El Hajj, Guilherme Fachini, Paolo Faraboschi, Martin Foltin, Sitao Huang, Wen-Mei Hwu, Gustavo Knuppe, Sunil Vishwanathpur Lakshminarasimha, Dejan S. Milojicic, Mohan Parthasarathy, Filipe Ribeiro, Lucas Rosa, Kaushik Roy, Plínio Silveira, John Paul Strachan:
Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC 2018: 1-13 - [c166]Mert Hidayetoglu, Carl Pearson, Izzat El Hajj, Levent Gürel, Weng Cho Chew, Wen-Mei W. Hwu:
A Fast and Massively-Parallel Inverse Solver for Multiple-Scattering Tomographic Image Reconstruction. IPDPS 2018: 64-74 - [c165]Mohammad Alian, Seungwon Min, Hadi Asgharimoghaddam, Ashutosh Dhar, Dong Kai Wang, Thomas Roewer, Adam J. McPadden, Oliver O'Halloran, Deming Chen, Jinjun Xiong, Daehoon Kim, Wen-Mei W. Hwu, Nam Sung Kim:
Application-Transparent Near-Memory Processing Architecture with Memory Channel Network. MICRO 2018: 802-814 - [c164]Carl Pearson, I-Hsin Chung, Zehra Sura, Wen-Mei Hwu, Jinjun Xiong:
NUMA-Aware Data-Transfer Measurements for Power/NVLink Multi-GPU Systems. ISC Workshops 2018: 448-454 - [i7]Raymond A. Yeh, Jinjun Xiong, Wen-mei W. Hwu, Minh N. Do, Alexander G. Schwing:
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts. CoRR abs/1803.11209 (2018) - [i6]Carl Pearson, Abdul Dakkak, Cheng Li, Sarah Hashash, Jinjun Xiong, Wen-Mei W. Hwu:
SCOPE: C3SR Systems Characterization and Benchmarking Framework. CoRR abs/1809.08311 (2018) - [i5]Bowen Cheng, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-mei W. Hwu, Thomas S. Huang, Honghui Shi:
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection. CoRR abs/1810.04002 (2018) - [i4]Bowen Cheng, Yunchao Wei, Jiahui Yu, Shiyu Chang, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Humphrey Shi:
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization. CoRR abs/1811.09347 (2018) - [i3]Abdul Dakkak, Cheng Li, Simon Garcia De Gonzalo, Jinjun Xiong, Wen-Mei W. Hwu:
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments. CoRR abs/1811.09732 (2018) - [i2]Abdul Dakkak, Cheng Li, Isaac Gelado, Jinjun Xiong, Wen-Mei W. Hwu:
Accelerating Reduction and Scan Using Tensor Core Units. CoRR abs/1811.09736 (2018) - [i1]Abdul Dakkak, Cheng Li, Abhishek Srivastava, Jinjun Xiong, Wen-Mei W. Hwu:
MLModelScope: Evaluate and Measure ML Models within AI Pipelines. CoRR abs/1811.09737 (2018) - 2017
- [j68]Nam Sung Kim, Deming Chen, Jinjun Xiong, Wen-mei W. Hwu:
Heterogeneous Computing Meets Near-Memory Acceleration and High-Level Synthesis in the Post-Moore Era. IEEE Micro 37(4): 10-18 (2017) - [j67]Izzat El Hajj, Thomas B. Jablin, Dejan S. Milojicic, Wen-Mei W. Hwu:
SAVI objects: sharing and virtuality incorporated. Proc. ACM Program. Lang. 1(OOPSLA): 45:1-45:24 (2017) - [c163]Sitao Huang, Gowthami Jayashri Manikandan, Anand Ramachandran, Kyle Rupnow, Wen-mei W. Hwu, Deming Chen:
Hardware Acceleration of the Pair-HMM Algorithm for DNA Variant Calling. FPGA 2017: 275-284 - [c162]Simon Garcia De Gonzalo, Simon D. Hammond, Christian R. Trott, Wen-Mei W. Hwu:
Revisiting Online Autotuning for Sparse-Matrix Vector Multiplication Kernels on Next-Generation Architectures. HPCC/SmartCity/DSS 2017: 72-80 - [c161]Ketan Date, Keven Feng,