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ORCIDWen-Mei W. Hwu
Wen-mei W. Hwu – Wen-Mei Hwu
Person information
- 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
- 2020
[j71]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)- [c206]Abdul Dakkak, Tom Wickham-Jones, Wen-Mei Hwu:
The design and implementation of the wolfram language compiler. CGO 2020: 212-228 - [c205]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 - [c204]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 - [c203]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 - [c202]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 - [c201]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 - [c200]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 - [c199]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 - [c198]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 - [c197]Wen-Mei Hwu:
Advancing Computing Infrastructure for Very Large-Scale Deep Learning at C3SR. IPDPS Workshops 2020: 989 - [c196]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 - [c195]Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-mei W. Hwu:
DLSpec: A Deep Learning Task Exchange Specification. OpML 2020 - [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] - [i34]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) - [i33]Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu:
DLSpec: A Deep Learning Task Exchange Specification. CoRR abs/2002.11262 (2020) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong:
Exploring Semantic Capacity of Terms. CoRR abs/2010.01898 (2020) - [i23]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)
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, Garcia de Gonzalo Simon, 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 - [i22]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) - [i21]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) - [i20]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) - [i19]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
Challenges and Pitfalls of Reproducing Machine Learning Artifacts. CoRR abs/1904.12437 (2019) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]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
- [j70]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) - [j69]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) - [j68]Onur Mutlu, Scott A. Mahlke, Thomas M. Conte, Wen-Mei W. Hwu:
Iterative Modulo Scheduling. IEEE Micro 38(1): 115-117 (2018) - [j67]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, Plinio 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 - [i5]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) - [i4]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) - [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
- [j66]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) - [j65]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, 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: 1-7 - [c160]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: 1-8 - [c159]Wen-mei W. Hwu, Izzat El Hajj, Simon Garcia De Gonzalo, Carl Pearson, Nam Sung Kim, Deming Chen, Jinjun Xiong, Zehra Sura:
Rebooting the Data Access Hierarchy of Computing Systems. ICRC 2017: 1-4 - [c158]Abdul Dakkak, Carl Pearson, Cheng Li, Wen-mei W. Hwu:
RAI: A Scalable Project Submission System for Parallel Programming Courses. IPDPS Workshops 2017: 315-322 - [c157]Wen-Mei W. Hwu:
Keynote: Architecture and software for emerging low-power systems. ISLPED 2017: 1 - [c156]Juan Gómez-Luna, Izzat El Hajj, Li-Wen Chang, Victor Garcia-Flores, Simon Garcia De Gonzalo, Thomas B. Jablin, Antonio J. Peña, Wen-mei W. Hwu:
Chai: Collaborative heterogeneous applications for integrated-architectures. ISPASS 2017: 43-54 - [c155]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: 1912-1922 - [c154]Francesc Lordan, Rosa M. Badia, Wen-Mei Hwu:
Enabling GPU Support for the COMPSs-Mobile Framework. WACCPD@SC 2017: 83-102 - [c153]Li-Wen Chang, Juan Gómez-Luna, Izzat El Hajj, Sitao Huang, Deming Chen, Wen-mei W. Hwu:
Collaborative Computing for Heterogeneous Integrated Systems. ICPE 2017: 385-388 - 2016
- [j64]Yun Heo, Anand Ramachandran, Wen-mei W. Hwu, Jian Ma, Deming Chen:
BLESS 2: accurate, memory-efficient and fast error correction method. Bioinform. 32(15): 2369-2371 (2016) - [j63]Deming Chen, Jason Cong, Swathi T. Gurumani, Wen-mei W. Hwu, Kyle Rupnow, Zhiru Zhang:
Platform choices and design demands for IoT platforms: cost, power, and performance tradeoffs. IET Cyper-Phys. Syst.: Theory & Appl. 1(1): 70-77 (2016) - [j62]Onur Mutlu, Rich Belgard, Thomas R. Gross, Norman P. Jouppi, John L. Hennessy, Steven A. Przybylski, Chris Rowen, Yale N. Patt, Wen-mei W. Hwu, Stephen W. Melvin, Michael Shebanow, Tse-Yu Yeh, Andy Wolfe:
Common Bonds: MIPS, HPS, Two-Level Branch Prediction, and Compressed Code RISC Processor. IEEE Micro 36(4): 70-85 (2016) - [j61]Ying Chen, Tan Nguyen, Yao Chen, Swathi T. Gurumani, Yun Liang, Kyle Rupnow, Jason Cong, Wen-mei W. Hwu, Deming Chen:
FCUDA-HB: Hierarchical and Scalable Bus Architecture Generation on FPGAs With the FCUDA Flow. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(12): 2032-2045 (2016) - [j60]Juan Gómez-Luna, I-Jui Sung, Li-Wen Chang, José María González-Linares, Nicolás Guil Mata, Wen-mei W. Hwu:
In-Place Matrix Transposition on GPUs. IEEE Trans. Parallel Distributed Syst. 27(3): 776-788 (2016) - [c152]Izzat El Hajj, Alexander Merritt, Gerd Zellweger, Dejan S. Milojicic, Reto Achermann, Paolo Faraboschi, Wen-mei W. Hwu, Timothy Roscoe, Karsten Schwan:
SpaceJMP: Programming with Multiple Virtual Address Spaces. ASPLOS 2016: 353-368 - [c151]Li-Wen Chang, Hee-Seok Kim, Wen-mei W. Hwu:
DySel: Lightweight Dynamic Selection for Kernel-based Data-parallel Programming Model. ASPLOS 2016: 667-680 - [c150]Gowthami Jayashri Manikandan, Sitao Huang, Kyle Rupnow, Wen-mei W. Hwu, Deming Chen:
Acceleration of the Pair-HMM Algorithm for DNA Variant Calling. FCCM 2016: 137 - [c149]Subho S. Banerjee, Arjun P. Athreya, Liudmila S. Mainzer, C. Victor Jongeneel, Wen-mei W. Hwu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Efficient and Scalable Workflows for Genomic Analyses. DIDC@HPDC 2016: 27-36 - [c148]Wen-mei W. Hwu:
AsHES 2016 Keynote. IPDPS Workshops 2016: 610 - [c147]Abdul Dakkak, Carl Pearson, Wen-mei W. Hwu:
WebGPU: A Scalable Online Development Platform for GPU Programming Courses. IPDPS Workshops 2016: 942-949 - [c146]Li-Wen Chang, Izzat El Hajj, Christopher I. Rodrigues, Juan Gómez-Luna, Wen-mei W. Hwu:
Efficient kernel synthesis for performance portable programming. MICRO 2016: 12:1-12:13 - [c145]Izzat El Hajj, Juan Gómez-Luna, Cheng Li, Li-Wen Chang, Dejan S. Milojicic, Wen-mei W. Hwu:
KLAP: Kernel launch aggregation and promotion for optimizing dynamic parallelism. MICRO 2016: 13:1-13:12 - [c144]Li-Wen Chang, Izzat El Hajj, Hee-Seok Kim, Juan Gómez-Luna, Abdul Dakkak, Wen-mei W. Hwu:
A programming system for future proofing performance critical libraries. PPOPP 2016: 32:1-32:2 - [c143]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: 217-222 - [e4]Ayal Zaks, Bilha Mendelson, Lawrence Rauchwerger, Wen-mei W. Hwu:
Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, PACT 2016, Haifa, Israel, September 11-15, 2016. ACM 2016, ISBN 978-1-4503-4121-9 [contents] - 2015
- [j59]Hiroyuki Takizawa, Shoichi Hirasawa, Makoto Sugawara, Isaac Gelado, Hiroaki Kobayashi, Wen-mei W. Hwu:
Optimized Data Transfers Based on the OpenCL Event Management Mechanism. Sci. Program. 2015: 576498:1-576498:16 (2015) - [j58]Javier Cabezas, Isaac Gelado, John E. Stone, Nacho Navarro, David Blair Kirk, Wen-mei W. Hwu:
Runtime and Architecture Support for Efficient Data Exchange in Multi-Accelerator Applications. IEEE Trans. Parallel Distributed Syst. 26(5): 1405-1418 (2015) - [c142]Hee-Seok Kim, Izzat El Hajj, John A. Stratton, Steven S. Lumetta, Wen-mei W. Hwu:
Locality-centric thread scheduling for bulk-synchronous programming models on CPU architectures. CGO 2015: 257-268 - [c141]