Wen-Mei Hwu

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 91

Top Topics

Canonical Representation

Object Detection

Top Venues

Publications

Ali Hassani, Wen-Mei Hwu, Humphrey Shi
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level. CoRR (2024)
Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. ASPLOS (3) (2024)
Chia-Hao Chang, Jihoon Han, Anand Sivasubramaniam, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
GMT: GPU Orchestrated Memory Tiering for the Big Data Era. ASPLOS (3) (2024)
Mert Hidayetoglu, Simon Garcia De Gonzalo, Elliott Slaughter, Yu Li, Christopher Zimmer, Tekin Bicer, Bin Ren, William Gropp, Wen-Mei Hwu, Alex Aiken
CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes. ICS (2024)
Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses. Proc. VLDB Endow. 17 (6) (2024)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Can Language Models Be Specific? How? ACL (Findings) (2023)
Mohamed El-Hadedy, Russell Hua, Kazutomo Yoshii, Wen-Mei Hwu, Martin Margala
RECO-LFSR: Reconfigurable Low-power Cryptographic processor based on LFSR for Trusted IoT platforms. ISQED (2023)
Benjamin Reidys, Yuqi Xue, Daixuan Li, Bharat Sukhwani, Wen-Mei Hwu, Deming Chen, Sameh W. Asaad, Jian Huang
RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design. SOSP (2023)
Mohamed El-Hadedy, Xinfei Guo, Kazutomo Yoshii, Yichen Cai, Robert Herndon, Bryan Banta, Wen-Mei Hwu
RECO-ASCON: Reconfigurable ASCON hash functions for IoT applications. Integr. 93 (2023)
Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. KDD (2023)
Samiran Kawtikwar, Mohammad Almasri, Wen-Mei Hwu, Rakesh Nagi, Jinjun Xiong
BEEP: Balanced Efficient subgraph Enumeration in Parallel. ICPP (2023)
Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses. CoRR (2023)
Mohamed El-Hadedy, Russell Hua, Shahzman Saqib, Kazutomo Yoshii, Wen-Mei Hwu, Martin Margala
BLTESTI: Benchmarking Lightweight TinyJAMBU on Embedded Systems for Trusted IoT. SOCC (2023)
Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP (2022)
Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu
Graph Neural Network Training and Data Tiering. KDD (2022)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP (2022)
Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
Parallel K-clique counting on GPUs. ICS (2022)
Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu
Open Relation Modeling: Learning to Define Relations between Entities. ACL (Findings) (2022)
Xiangdong Wei, Mohamed El-Hadedy, Sergiu Mosanu, Zhengping Zhu, Wen-Mei Hwu, Xinfei Guo
RECO-HCON: A High-Throughput Reconfigurable Compact ASCON Processor for Trusted IoT. SOCC (2022)
Omer Anjum, Alok Kamatar, Toby Liang, Jinjun Xiong, Wen-Mei Hwu
Submission-Aware Reviewer Profiling for Reviewer Recommender System. CoRR (2022)
Vibhor Dodeja, Mohammad Almasri, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
PARSEC: PARallel Subgraph Enumeration in CUDA. IPDPS (2022)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Can Language Models Be Specific? How? CoRR (2022)
Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR (2022)
Mhd Ghaith Olabi, Juan Gómez-Luna, Onur Mutlu, Wen-Mei Hwu, Izzat El Hajj
A Compiler Framework for Optimizing Dynamic Parallelism on GPUs. CGO (2022)
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) (2021)
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)
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 (2021)
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)
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)
Sultan Durrani, Muhammad Saad Chughtai, Abdul Dakkak, Wen-Mei Hwu, Lawrence Rauchwerger
FFT blitz: the tensor cores strike back. PPoPP (2021)
Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu
PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. IEEE Trans. Computers 70 (12) (2021)
Mohammad Almasri, Neo Vasudeva, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
HyKernel: A Hybrid Selection of One/Two-Phase Kernels for Triangle Counting on GPUs. HPEC (2021)
Ashutosh Dhar, Paul Reckamp, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
Graviton: A Reconfigurable Memory-Compute Fabric for Data Intensive Applications. ARC (2021)
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)
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)
Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
Interpretable Visual Reasoning via Induced Symbolic Space. ICCV (2021)
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 (2021)
Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
Fast CUDA-Aware MPI Datatypes without Platform Support. CoRR (2020)
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)
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 (2020)
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)
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)
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)
Wen-Mei Hwu
Advancing Computing Infrastructure for Very Large-Scale Deep Learning at C3SR. IPDPS Workshops (2020)
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)
Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu
DLSpec: A Deep Learning Task Exchange Specification. CoRR (2020)
Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
Interpretable Visual Reasoning via Induced Symbolic Space. CoRR (2020)
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 (2020)
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)
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) (2020)
Jie Huang, Zilong Wang, Kevin Chang, Wen-Mei Hwu, Jinjun Xiong
Exploring Semantic Capacity of Terms. EMNLP (1) (2020)
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)
Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu
MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale. CoRR (2020)
Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong
Exploring Semantic Capacity of Terms. CoRR (2020)
Abdul Dakkak, Tom Wickham-Jones, Wen-Mei Hwu
The design and implementation of the wolfram language compiler. CGO (2020)
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)
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 (2020)
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. ICPE (2020)
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)
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) (2020)
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 (2019)
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)
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 (2019)
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 (2019)
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)
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 (2019)
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)
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)
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 (2019)
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)
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)
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 (2019)
Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, Jinjun Xiong
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space. CoRR (2019)
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)
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)
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu
MLModelScope: Evaluate and Introspect Cognitive Pipelines. SERVICES (2019)
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)
Hongyu Gong, Suma Bhat, Lingfei Wu, Jinjun Xiong, Wen-Mei Hwu
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus. CoRR (2019)
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 (2019)
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)
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)
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 (2019)
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu
Challenges and Pitfalls of Reproducing Machine Learning Artifacts. CoRR (2019)
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 (2019)
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) (2018)
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)
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)
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)
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)
Wen-Mei Hwu, Sanjay J. Patel
Accelerator Architectures A Ten-Year Retrospective. IEEE Micro 38 (6) (2018)
Francesc Lordan, Rosa M. Badia, Wen-Mei Hwu
Enabling GPU Support for the COMPSs-Mobile Framework. WACCPD@SC (2017)
Andy Glew, Wen-Mei Hwu
Snoopy cache test-and-test-and-set without execessive bus contention. SIGARCH Comput. Archit. News 18 (2) (1990)