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2020 – today
- 2024
[j12]Joanna Piper Morgan
, Ilham Variansyah, Samuel L. Pasmann, Kayla B. Clements, Braxton Cuneo, Alexander Mote, Charles Goodman, Caleb Shaw, Jordan Northrop, Rohan Pankaj, Ethan Lame, Benjamin Whewell, Ryan G. McClarren, Todd S. Palmer, Lizhong Chen, Dmitriy Y. Anistratov, C. T. Kelley, Camille J. Palmer, Kyle E. Niemeyer:
Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. J. Open Source Softw. 9(96): 6415 (2024)- [c34]Victor Agostinelli, Max Wild, Matthew Raffel, Kazi Ahmed Asif Fuad, Lizhong Chen:
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models. ACL (1) 2024: 10530-10541 - [c33]Victor Agostinelli, Sanghyun Hong, Lizhong Chen:
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions. ICML 2024 - [i15]Gabriel Kulp, Andrew Ensinger, Lizhong Chen:
FLAASH: Flexible Accelerator Architecture for Sparse High-Order Tensor Contraction. CoRR abs/2404.16317 (2024) - [i14]Matthew Raffel, Victor Agostinelli, Lizhong Chen:
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation. CoRR abs/2405.10443 (2024) - [i13]Victor Agostinelli, Sanghyun Hong, Lizhong Chen:
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions. CoRR abs/2405.13046 (2024) - [i12]Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Huazheng Wang, Lizhong Chen:
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. CoRR abs/2406.00231 (2024) - 2023
- [j11]Drew Penney, Bin Li, Jaroslaw J. Sydir, Lizhong Chen, Charlie Tai, Stefan Lee, Eoin Walsh, Thomas Long:
PROMPT: Learning dynamic resource allocation policies for network applications. Future Gener. Comput. Syst. 145: 164-175 (2023) - [j10]Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich:
RAPID: Enabling fast online policy learning in dynamic public cloud environments. Neurocomputing 558: 126737 (2023) - [c32]Matthew Raffel, Lizhong Chen:
Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation. ACL (Findings) 2023: 12900-12907 - [c31]Matthew Raffel, Drew Penney, Lizhong Chen:
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation. ICML 2023: 28519-28530 - [c30]Victor Agostinelli, Lizhong Chen:
Improving Autoregressive NLP Tasks via Modular Linearized Attention. ECML/PKDD (4) 2023: 90-106 - [i11]Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich:
RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments. CoRR abs/2304.04797 (2023) - [i10]Victor Agostinelli, Lizhong Chen:
Improving Autoregressive NLP Tasks via Modular Linearized Attention. CoRR abs/2304.08453 (2023) - [i9]Tianhong Huang, Victor Agostinelli, Lizhong Chen:
Partitioning-Guided K-Means: Extreme Empty Cluster Resolution for Extreme Model Compression. CoRR abs/2306.14031 (2023) - [i8]Matthew Raffel, Drew Penney, Lizhong Chen:
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation. CoRR abs/2307.01377 (2023) - [i7]Matthew Raffel, Lizhong Chen:
Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation. CoRR abs/2307.01381 (2023) - [i6]Victor Agostinelli, Max Wild, Matthew Raffel, Kazi Ahmed Asif Fuad, Lizhong Chen:
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models. CoRR abs/2312.04691 (2023) - 2022
- [j9]Fawaz Alazemi, Lizhong Chen, Bella Bose:
Chapter Four - Routerless networks-on-chip. Adv. Comput. 124: 81-116 (2022) - [j8]Guoqi Q. Qian, Lizhong Chen, Yuriy Kuleshov:
Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models via Metropolis-Gibbs Sampling. Remote. Sens. 14(22): 5872 (2022) - [j7]Arash AziziMazreah, Lizhong Chen:
Polymorphic Accelerators for Deep Neural Networks. IEEE Trans. Computers 71(3): 534-546 (2022) - [i5]Drew Penney, Bin Li, Jaroslaw Sydir, Charlie Tai, Eoin Walsh, Thomas Long, Stefan Lee, Lizhong Chen:
PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications. CoRR abs/2201.07916 (2022) - 2020
- [b1]Lizhong Chen, Drew Penney, Daniel Jiménez:
AI for Computer Architecture: Principles, Practice, and Prospects. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00642-5 - [c29]Ting-Ru Lin, Drew Penney, Massoud Pedram, Lizhong Chen:
A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study. HPCA 2020: 99-110 - [c28]Yunfan Li, Lizhong Chen:
EquiNox: Equivalent NoC Injection Routers for Silicon Interposer-Based Throughput Processors. HPCA 2020: 435-446 - [c27]Yunfan Li, Lizhong Chen:
Accelerated Reply Injection for Removing NoC Bottleneck in GPGPUs. IPDPS 2020: 22-31 - [i4]Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Andreozzi, Adrià Armejach, Nils Asmussen, Srikant Bharadwaj, Gabe Black, Gedare Bloom, Bobby R. Bruce, Daniel Rodrigues Carvalho, Jerónimo Castrillón, Lizhong Chen, Nicolas Derumigny, Stephan Diestelhorst, Wendy Elsasser, Marjan Fariborz, Amin Farmahini Farahani, Pouya Fotouhi, Ryan Gambord, Jayneel Gandhi, Dibakar Gope, Thomas Grass, Bagus Hanindhito, Andreas Hansson, Swapnil Haria, Austin Harris, Timothy Hayes, Adrian Herrera, Matthew Horsnell, Syed Ali Raza Jafri, Radhika Jagtap, Hanhwi Jang, Reiley Jeyapaul, Timothy M. Jones, Matthias Jung, Subash Kannoth, Hamidreza Khaleghzadeh, Yuetsu Kodama, Tushar Krishna, Tommaso Marinelli, Christian Menard, Andrea Mondelli, Tiago Mück, Omar Naji, Krishnendra Nathella, Hoa Nguyen, Nikos Nikoleris, Lena E. Olson, Marc S. Orr, Binh Pham, Pablo Prieto, Trivikram Reddy, Alec Roelke, Mahyar Samani, Andreas Sandberg, Javier Setoain, Boris Shingarov, Matthew D. Sinclair, Tuan Ta, Rahul Thakur, Giacomo Travaglini, Michael Upton, Nilay Vaish, Ilias Vougioukas, Zhengrong Wang, Norbert Wehn, Christian Weis, David A. Wood, Hongil Yoon, Éder F. Zulian:
The gem5 Simulator: Version 20.0+. CoRR abs/2007.03152 (2020) - [i3]Yongbin Gu, Wenxuan Wu, Yunfan Li, Lizhong Chen:
UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs. CoRR abs/2007.09822 (2020)
2010 – 2019
- 2019
- [j6]Ting-Ru Lin, Yunfan Li, Massoud Pedram, Lizhong Chen:
Design Space Exploration of Memory Controller Placement in Throughput Processors with Deep Learning. IEEE Comput. Archit. Lett. 18(1): 51-54 (2019) - [c26]Arash AziziMazreah, Lizhong Chen:
Shortcut Mining: Exploiting Cross-Layer Shortcut Reuse in DCNN Accelerators. HPCA 2019: 94-105 - [c25]Yunfan Li, Drew Penney, Abhishek Ramamurthy, Lizhong Chen:
Characterizing On-Chip Traffic Patterns in General-Purpose GPUs: A Deep Learning Approach. ICCD 2019: 56-64 - [c24]Yunfan Li, Di Zhu, Lizhong Chen:
Express Link Placement for NoC-Based Many-Core Platforms. ICPP 2019: 27:1-27:10 - [c23]Yongbin Gu, Lizhong Chen:
Dynamically linked MSHRs for adaptive miss handling in GPUs. ICS 2019: 510-521 - [c22]Di Zhu, Yunfan Li, Lizhong Chen:
On Trade-off Between Static and Dynamic Power Consumption in NoC Power Gating. ISLPED 2019: 1-6 - [i2]Ting-Ru Lin, Drew Penney, Massoud Pedram, Lizhong Chen:
Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework. CoRR abs/1905.04423 (2019) - [i1]Drew D. Penney, Lizhong Chen:
A Survey of Machine Learning Applied to Computer Architecture Design. CoRR abs/1909.12373 (2019) - 2018
- [c21]Fawaz Alazemi, Arash AziziMazreah, Bella Bose, Lizhong Chen:
Routerless Network-on-Chip. HPCA 2018: 492-503 - [c20]Yongbin Gu, Lizhong Chen:
CART: Cache Access Reordering Tree for Efficient Cache and Memory Accesses in GPUs. ICCD 2018: 250-257 - [c19]Arash AziziMazreah, Yongbin Gu, Xiang Gu, Lizhong Chen:
Tolerating Soft Errors in Deep Learning Accelerators with Reliable On-Chip Memory Designs. NAS 2018: 1-10 - 2017
- [j5]Di Zhu, Siyu Yue, Massoud Pedram, Lizhong Chen:
CALM: Contention-Aware Latency-Minimal Application Mapping for Flattened Butterfly On-Chip Networks. ACM Trans. Design Autom. Electr. Syst. 22(2): 21:1-21:21 (2017) - [c18]Aosen Wang, Lizhong Chen, Wenyao Xu:
XPro: A Cross-End Processing Architecture for Data Analytics in Wearables. ISCA 2017: 69-80 - 2016
- [j4]Lizhong Chen, Di Zhu, Massoud Pedram, Timothy Mark Pinkston:
Simulation of NoC power-gating: Requirements, optimizations, and the Agate simulator. J. Parallel Distributed Comput. 95: 69-78 (2016) - [j3]Lihang Zhao, Lizhong Chen, Woojin Choi, Jeffrey T. Draper:
A Filtering Mechanism to Reduce Network Bandwidth Utilization of Transaction Execution. ACM Trans. Archit. Code Optim. 12(4): 51:1-51:26 (2016) - [j2]Di Zhu, Lizhong Chen, Siyu Yue, Timothy Mark Pinkston, Massoud Pedram:
Providing Balanced Mapping for Multiple Applications in Many-Core Chip Multiprocessors. IEEE Trans. Computers 65(10): 3122-3135 (2016) - [c17]Alireza Shafaei, Yanzhi Wang, Lizhong Chen, Shuang Chen, Massoud Pedram:
Maximizing the performance of NoC-based MPSoCs under total power and power density constraints. ISQED 2016: 49-56 - 2015
- [c16]Di Zhu, Lizhong Chen, Timothy Mark Pinkston, Massoud Pedram:
TAPP: temperature-aware application mapping for NoC-based many-core processors. DATE 2015: 1241-1244 - [c15]Lizhong Chen, Di Zhu, Massoud Pedram, Timothy Mark Pinkston:
Power punch: Towards non-blocking power-gating of NoC routers. HPCA 2015: 378-389 - 2014
- [c14]Di Zhu, Lizhong Chen, Siyu Yue, Massoud Pedram:
Application mapping for express channel-based networks-on-chip. DATE 2014: 1-6 - [c13]Lizhong Chen, Lihang Zhao, Ruisheng Wang, Timothy Mark Pinkston:
MP3: Minimizing performance penalty for power-gating of Clos network-on-chip. HPCA 2014: 296-307 - [c12]Lihang Zhao, Lizhong Chen, Jeffrey T. Draper:
Mitigating the Mismatch between the Coherence Protocol and Conflict Detection in Hardware Transactional Memory. IPDPS 2014: 605-614 - [c11]Di Zhu, Lizhong Chen, Siyu Yue, Timothy Mark Pinkston, Massoud Pedram:
Balancing On-Chip Network Latency in Multi-application Mapping for Chip-Multiprocessors. IPDPS 2014: 872-881 - [c10]Siyu Yue, Lizhong Chen, Di Zhu, Timothy Mark Pinkston, Massoud Pedram:
Smart butterfly: reducing static power dissipation of network-on-chip with core-state-awareness. ISLPED 2014: 311-314 - [c9]Ruisheng Wang, Lizhong Chen:
Futility Scaling: High-Associativity Cache Partitioning. MICRO 2014: 356-367 - 2013
- [c8]Lizhong Chen, Timothy Mark Pinkston:
Worm-Bubble Flow Control. HPCA 2013: 366-377 - [c7]Lihang Zhao, Woojin Choi, Lizhong Chen, Jeffrey T. Draper:
In-network traffic regulation for Transactional Memory. HPCA 2013: 520-531 - [c6]Ruisheng Wang, Lizhong Chen, Timothy Mark Pinkston:
Bubble coloring: avoiding routing- and protocol-induced deadlocks with minimal virtual channel requirement. ICS 2013: 193-202 - [c5]Lizhong Chen, Kai Hwang, Timothy Mark Pinkston:
RAIR: Interference Reduction in Regionalized Networks-on-Chip. IPDPS 2013: 153-164 - [c4]Ruisheng Wang, Lizhong Chen, Timothy Mark Pinkston:
An Analytical Performance Model for Partitioning Off-Chip Memory Bandwidth. IPDPS 2013: 165-176 - 2012
- [j1]Lizhong Chen, Ruisheng Wang, Timothy Mark Pinkston:
Efficient implementation of globally-aware network flow control. J. Parallel Distributed Comput. 72(11): 1412-1422 (2012) - [c3]Lizhong Chen, Timothy Mark Pinkston:
NoRD: Node-Router Decoupling for Effective Power-gating of On-Chip Routers. MICRO 2012: 270-281 - 2011
- [c2]Lizhong Chen, Ruisheng Wang, Timothy Mark Pinkston:
Critical Bubble Scheme: An Efficient Implementation of Globally Aware Network Flow Control. IPDPS 2011: 592-603
2000 – 2009
- 2004
- [c1]Lizhong Chen, Yongyou Hu, Hongye Su, Jian Chu:
A comparative study for solution methods of a multicomponent distillation model. SMC (5) 2004: 4249-4253
Coauthor Index
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