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Chenhao Xie 0001
Person information
- affiliation: Pacific Northwest National Lab (PNNL), Richland, USA
- affiliation (former): University of Houston, TX, USA
Other persons with the same name
- Chenhao Xie 0002 — Fudan University, Shanghai, China
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2020 – today
- 2024
- [j4]Yufei Yang, Chenhao Xie, Liansheng Liu, Philip H. W. Leong, Shuaiwen Leon Song:
Efficient Radius Search for Adaptive Foveal Sizing Mechanism in Collaborative Foveated Rendering Framework. IEEE Trans. Mob. Comput. 23(5): 3620-3632 (2024) - 2023
- [c17]Yu Wen, Chenhao Xie, Shuaiwen Leon Song, Xin Fu:
Post0-VR: Enabling Universal Realistic Rendering for Modern VR via Exploiting Architectural Similarity and Data Sharing. HPCA 2023: 390-402 - 2022
- [c16]Ozgur O. Kilic, Nathan R. Tallent, Yasodha Suriyakumar, Chenhao Xie, Andrès Márquez, Stéphane Eranian:
MemGaze: Rapid and Effective Load-Level Memory Trace Analysis. CLUSTER 2022: 484-495 - [c15]Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo:
DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. HPCA 2022: 304-316 - [i7]Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li:
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. CoRR abs/2203.03606 (2022) - [i6]Jieyang Chen, Chenhao Xie, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li:
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. CoRR abs/2209.07552 (2022) - 2021
- [j3]Xingyao Zhang, Xin Fu, Donglin Zhuang, Chenhao Xie, Shuaiwen Leon Song:
Enabling Highly Efficient Capsule Networks Processing Through Software-Hardware Co-Design. IEEE Trans. Computers 70(4): 495-510 (2021) - [j2]Cheng Tan, Chenhao Xie, Tong Geng, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li:
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. IEEE Trans. Parallel Distributed Syst. 32(12): 2880-2892 (2021) - [c14]Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo:
OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP 2021: 149-155 - [c13]Chenhao Xie, Xie Li, Yang Hu, Huwan Peng, Michael B. Taylor, Shuaiwen Leon Song:
Q-VR: system-level design for future mobile collaborative virtual reality. ASPLOS 2021: 587-599 - [c12]Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo:
AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators. DATE 2021: 1388-1393 - [c11]Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li:
A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs. HPEC 2021: 1-8 - [c10]Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo:
DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. ICCD 2021: 33-40 - [c9]Chenhao Xie, Jieyang Chen, Jesun Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li:
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. ICPP 2021: 53:1-53:11 - [c8]Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li:
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. MICRO 2021: 1051-1063 - [i5]Chenhao Xie, Xie Li, Yang Hu, Huwan Peng, Michael B. Taylor, Shuaiwen Leon Song:
Q-VR: System-Level Design for Future Mobile Collaborative Virtual Reality. CoRR abs/2102.13191 (2021) - 2020
- [c7]Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu:
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design. HPCA 2020: 542-555 - [c6]Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo:
OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs. ICCD 2020: 381-388 - [i4]Chenhao Xie, Xin Fu, Mingsong Chen, Shuaiwen Leon Song:
OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems. CoRR abs/2001.03537 (2020) - [i3]Cheng Tan, Chenhao Xie, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li:
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. CoRR abs/2011.04931 (2020) - [i2]Chenhao Xie, Jieyang Chen, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li:
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. CoRR abs/2012.06959 (2020)
2010 – 2019
- 2019
- [c5]Chenhao Xie, Xingyao Zhang, Ang Li, Xin Fu, Shuaiwen Song:
PIM-VR: Erasing Motion Anomalies In Highly-Interactive Virtual Reality World with Customized Memory Cube. HPCA 2019: 609-622 - [c4]Chenhao Xie, Xin Fu, Mingsong Chen, Shuaiwen Leon Song:
OO-VR: NUMA friendly object-oriented VR rendering framework for future NUMA-based multi-GPU systems. ISCA 2019: 53-65 - [i1]Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu:
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design. CoRR abs/1911.03451 (2019) - 2018
- [c3]Chenhao Xie, Xin Fu, Shuaiwen Song:
Perception-Oriented 3D Rendering Approximation for Modern Graphics Processors. HPCA 2018: 362-374 - [c2]Xingyao Zhang, Chenhao Xie, Jing Wang, Weidong Zhang, Xin Fu:
Towards Memory Friendly Long-Short Term Memory Networks (LSTMs) on Mobile GPUs. MICRO 2018: 162-174 - 2017
- [j1]Chenhao Xie, Jingweijia Tan, Mingsong Chen, Yang Yi, Lu Peng, Xin Fu:
Emerging technology enabled energy-efficient GPGPUs register file. Microprocess. Microsystems 50: 175-188 (2017) - [c1]Chenhao Xie, Shuaiwen Leon Song, Jing Wang, Weigong Zhang, Xin Fu:
Processing-in-Memory Enabled Graphics Processors for 3D Rendering. HPCA 2017: 637-648
Coauthor Index
aka: Shuaiwen Leon Song
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last updated on 2024-07-20 21:22 CEST by the dblp team
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