Huihuo Zheng

According to our database, Huihuo Zheng authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

h5bench: A unified benchmark suite for evaluating HDF5 I/O performance on pre-exascale platforms.

Jean Luca Bez, Houjun Tang, M. Scot Breitenfeld, Huihuo Zheng, Wei-Keng Liao, Kaiyuan Hou, Zanhua Huang, Suren Byna

Concurr. Comput. Pract. Exp., July, 2024

MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization.

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

Proceedings of the International Conference for High Performance Computing, 2024

DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows.

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

Proceedings of the International Conference for High Performance Computing, 2024

2023

AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers.

Minyang Tian, Eliu A. Huerta, Huihuo Zheng

CoRR, 2023

Physics-inspired spatiotemporal-graph AI ensemble for gravitational wave detection.

Minyang Tian, Eliu A. Huerta, Huihuo Zheng

CoRR, 2023

2022

Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale.

Pranshu Chaturvedi, Asad Khan, Minyang Tian, Eliu A. Huerta, Huihuo Zheng

Frontiers Artif. Intell., 2022

HDF5 Cache VOL: Efficient and Scalable Parallel I/O through Caching Data on Node-local Storage.

Huihuo Zheng, Venkatram Vishwanath, Quincey Koziol, Houjun Tang, John Ravi, John Mainzer, Suren Byna

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Stimulus: Accelerate Data Management for Scientific AI applications in HPC.

Hariharan Devarajan, Anthony Kougkas, Huihuo Zheng, Venkatram Vishwanath, Xian-He Sun

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers.

Asad Khan, Eliu A. Huerta, Huihuo Zheng

CoRR, 2021

Atomic Defect Identification with Sparse Sampling and Deep Learning.

Michael C. Cao, Jonathan Schwartz, Huihuo Zheng, Yi Jiang, Robert Hovden, Yimo Han

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications.

Hariharan Devarajan, Huihuo Zheng, Anthony Kougkas, Xian-He Sun, Venkatram Vishwanath

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Dynamic Compressed Sensing for Real-Time Tomographic Reconstruction.

Jonathan Schwartz, Huihuo Zheng, Marcus Hanwell, Yi Jiang, Robert Hovden

CoRR, 2020

Performance Portability Evaluation of OpenCL Benchmarks across Intel and NVIDIA Platforms.

Colleen Bertoni, JaeHyuk Kwack, Thomas Applencourt, Yasaman Ghadar, Brian Homerding, Christopher Knight, Brice Videau, Huihuo Zheng, Vitali A. Morozov, Scott Parker

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020