Wen-Mei W. Hwu

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 56

Top Topics

Subgraph Isomorphism

Top Venues

Publications

Jeongmin Brian Park, Kun Wu, Vikram Sharma Mailthody, Zaid Qureshi, Scott A. Mahlke, Wen-Mei W. Hwu
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme. CoRR (2024)
Jeongmin Brian Park, Zaid Qureshi, Vikram S. Mailthody, Andrew Gacek, Shunfan Shao, Mohammad Almasri, Isaac Gelado, Jinjun Xiong, Chris J. Newburn, I-Hsin Chung, Michael Garland, Nikolay Sakharnykh, Wen-Mei W. Hwu
CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs. CoRR (2023)
Luyang Yu, Yizhen Lu, Meghna Mandava, Edward Richter, Vikram Sharma Mailthody, Seungwon Min, Wen-Mei W. Hwu, Deming Chen
FSSD: FPGA-Based Emulator for SSDs. FPL (2023)
Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei W. Hwu
PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks. CoRR (2023)
Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Park, Jinjun Xiong, C. J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. ASPLOS (2) (2023)
Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Park, Jinjun Xiong, C. J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu
BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage. CoRR (2022)
Mhd Ghaith Olabi, Juan Gómez-Luna, Onur Mutlu, Wen-Mei W. Hwu, Izzat El Hajj
A Compiler Framework for Optimizing Dynamic Parallelism on GPUs. CoRR (2022)
Xiaofan Zhang, Yuan Ma, Jinjun Xiong, Wen-Mei W. Hwu, Volodymyr V. Kindratenko, Deming Chen
Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (6) (2022)
Omer Anjum, Mohammad Almasri, Simon Garcia de Gonzalo, Wen-Mei W. Hwu
An efficient GPU implementation and scaling for higher-order 3D stencils. Inf. Sci. 586 (2022)
Mert Hidayetoglu, Tekin Biçer, Simon Garcia de Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-Mei W. Hwu
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging. IEEE Trans. Parallel Distributed Syst. 33 (9) (2022)
Omer Anjum, Mohammad Almasri, Jinjun Xiong, Wen-Mei W. Hwu
PhraseScope: An Effective and Unsupervised Framework for Mining High Quality Phrases. SDM (2021)
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)
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 (2021)
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 (2021)
Yen-Hsiang Chang, Jianhao Pu, Wen-Mei W. Hwu, Jinjun Xiong
MLHarness: A Scalable Benchmarking System for MLCommons. CoRR (2021)
Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-Mei W. Hwu
K-Clique Counting on GPUs. CoRR (2021)
Sultan Durrani, Muhammad Saad Chughtai, Mert Hidayetoglu, Rashid Tahir, Abdul Dakkak, Lawrence Rauchwerger, Fareed Zaffar, Wen-Mei W. Hwu
Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles. PACT (2021)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei W. Hwu
Open Relation Modeling: Learning to Define Relations between Entities. CoRR (2021)
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 (2020)
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)
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)
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu
The Design and Implementation of a Scalable Deep Learning Benchmarking Platform. CLOUD (2020)
Zaid Qureshi, Vikram Sharma Mailthody, Seungwon Min, I-Hsin Chung, Jinjun Xiong, Wen-Mei W. Hwu
Tearing Down the Memory Wall. CoRR (2020)
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)
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 (2020)
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 (2020)
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. CoRR (2019)
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)
Abdul Dakkak, Cheng Li, Jinjun Xiong, Isaac Gelado, Wen-Mei W. Hwu
Accelerating reduction and scan using tensor core units. ICS (2019)
Ashutosh Dhar, Sitao Huang, Jinjun Xiong, Damir A. 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)
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)
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)
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu
The Design and Implementation of a Scalable DL Benchmarking Platform. CoRR (2019)
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 (2019)
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)
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 (2019)
Sitao Huang, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Deming Chen, Wen-Mei W. Hwu
Accelerating Sparse Deep Neural Networks on FPGAs. HPEC (2019)
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)
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)
Carl Pearson, Abdul Dakkak, Cheng Li, Sarah Hashash, Jinjun Xiong, Wen-Mei W. Hwu
SCOPE: C3SR Systems Characterization and Benchmarking Framework. CoRR (2018)
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)
Abdul Dakkak, Cheng Li, Isaac Gelado, Jinjun Xiong, Wen-Mei W. Hwu
Accelerating Reduction and Scan Using Tensor Core Units. CoRR (2018)
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 (2018)
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)
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 (2018)
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 (2018)
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)
Abdul Dakkak, Cheng Li, Abhishek Srivastava, Jinjun Xiong, Wen-Mei W. Hwu
MLModelScope: Evaluate and Measure ML Models within AI Pipelines. CoRR (2018)
Onur Mutlu, Scott A. Mahlke, Thomas M. Conte, Wen-Mei W. Hwu
Iterative Modulo Scheduling. IEEE Micro 38 (1) (2018)
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. NIPS (2017)
Ketan Date, Keven Feng, Rakesh Nagi, Jinjun Xiong, Nam Sung Kim, Wen-Mei W. Hwu
Collaborative (CPU + GPU) algorithms for triangle counting and truss decomposition on the Minsky architecture: Static graph challenge: Subgraph isomorphism. HPEC (2017)
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) (2017)
Pedro Bruel, Sai Rahul Chalamalasetti, Chris I. Dalton, Izzat El Hajj, Alfredo Goldman, Catherine Graves, Wen-Mei W. Hwu, Phil Laplante, Dejan S. Milojicic, Geoffrey Ndu, John Paul Strachan
Generalize or Die: Operating Systems Support for Memristor-Based Accelerators. ICRC (2017)
Wen-Mei W. Hwu
Keynote: Architecture and software for emerging low-power systems. ISLPED (2017)
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)
Sao-Jie Chen, Grace Liu, Hsin-Ping Yang, Cheng-Hao Luo, Wen-Mei W. Hwu
Design of a power-efficient ARM processor with a timing-error detection and correction mechanism. SoCC (2016)
Dennis J. Lin, Xiaohuang Huang, Quang H. Nguyen, Joshua Blackburn, Christopher I. Rodrigues, Thomas S. Huang, Minh N. Do, Sanjay J. Patel, Wen-Mei W. Hwu
The parallelization of video processing. IEEE Signal Process. Mag. 26 (6) (2009)
Wen-Mei W. Hwu, David I. August, John W. Sias
Program decision logic optimization using predication and control speculation. Proc. IEEE 89 (11) (2001)
Wen-Mei W. Hwu, Richard E. Hank, David M. Gallagher, Scott A. Mahlke, Daniel M. Lavery, Grant E. Haab, John C. Gyllenhaal, David I. August
Compiler technology for future microprocessors. Proc. IEEE 83 (12) (1995)