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Huihuo Zheng
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2020 – today
- 2024
- [j2]Jean Luca Bez, Houjun Tang, M. Scot Breitenfeld, Huihuo Zheng, Wei-Keng Liao, Kaiyuan Hou, Zanhua Huang, Suren Byna:
h5bench: A unified benchmark suite for evaluating HDF5 I/O performance on pre-exascale platforms. Concurr. Comput. Pract. Exp. 36(16) (2024) - [c7]Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Väinö Hatanpää, Varuni Katti Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan:
MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. SC 2024: 7 - [c6]Hariharan Devarajan, Loïc Pottier, Kaushik Velusamy, Huihuo Zheng, Izzet Yildirim, Olga Kogiou, Weikuan Yu, Anthony Kougkas, Xian-He Sun, Jae-Seung Yeom, Kathryn M. Mohror:
DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows. SC 2024: 17 - 2023
- [i5]Minyang Tian, Eliu A. Huerta, Huihuo Zheng:
Physics-inspired spatiotemporal-graph AI ensemble for gravitational wave detection. CoRR abs/2306.15728 (2023) - [i4]Minyang Tian, Eliu A. Huerta, Huihuo Zheng:
AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers. CoRR abs/2310.00052 (2023) - 2022
- [j1]Pranshu Chaturvedi, Asad Khan, Minyang Tian, Eliu A. Huerta, Huihuo Zheng:
Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale. Frontiers Artif. Intell. 5: 828672 (2022) - [c5]Huihuo Zheng, Venkatram Vishwanath, Quincey Koziol, Houjun Tang, John Ravi, John Mainzer, Suren Byna:
HDF5 Cache VOL: Efficient and Scalable Parallel I/O through Caching Data on Node-local Storage. CCGRID 2022: 61-70 - [c4]Hariharan Devarajan, Anthony Kougkas, Huihuo Zheng, Venkatram Vishwanath, Xian-He Sun:
Stimulus: Accelerate Data Management for Scientific AI applications in HPC. CCGRID 2022: 109-118 - [i3]Pranshu Chaturvedi, Asad Khan, Minyang Tian, Eliu A. Huerta, Huihuo Zheng:
Inference-optimized AI and high performance computing for gravitational wave detection at scale. CoRR abs/2201.11133 (2022) - 2021
- [c3]Hariharan Devarajan, Huihuo Zheng, Anthony Kougkas, Xian-He Sun, Venkatram Vishwanath:
DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications. CCGRID 2021: 81-91 - [c2]Michael C. Cao, Jonathan Schwartz, Huihuo Zheng, Yi Jiang, Robert Hovden, Yimo Han:
Atomic Defect Identification with Sparse Sampling and Deep Learning. SMC 2021: 455-463 - [i2]Asad Khan, Eliu A. Huerta, Huihuo Zheng:
Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers. CoRR abs/2110.06968 (2021) - 2020
- [c1]Colleen Bertoni, JaeHyuk Kwack, Thomas Applencourt, Yasaman Ghadar, Brian Homerding, Christopher Knight, Brice Videau, Huihuo Zheng, Vitali A. Morozov, Scott Parker:
Performance Portability Evaluation of OpenCL Benchmarks across Intel and NVIDIA Platforms. IPDPS Workshops 2020: 330-339 - [i1]Jonathan Schwartz, Huihuo Zheng, Marcus Hanwell, Yi Jiang, Robert Hovden:
Dynamic Compressed Sensing for Real-Time Tomographic Reconstruction. CoRR abs/2005.01662 (2020)
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