BEIJING, Feb. 18,
2025 /PRNewswire/ -- A news report from sinolub:
In the era of rapid digitalization and intelligent development,
China's technology is rising on
the global stage at an unprecedented speed. From artificial
intelligence to high-performance computing, and from basic research
to practical applications, China
has not only launched national-level products like Deepseek but
also achieved remarkable accomplishments in numerous specialized
fields. Recently, a paper titled "High-performance CPU-GPU
Heterogeneous Computing Method for 9-Component Ambient Noise
Cross-correlation" once again highlighted China's strength in the application of
high-performance computing and artificial intelligence.
A Breakthrough in Seismic Data Processing
The paper, published in Earthquake Research Advances, introduces
a novel approach to seismic data processing
using CUDA-accelerated computing. This method leverages the
power of NVIDIA GPUs to significantly enhance the efficiency of
calculating nine-component noise cross-correlation functions (NCFs)
from ambient seismic noise data. By integrating advanced stacking
techniques such as time-frequency domain phase-weighted stacking
(tf-PWS), the research not only accelerates the computational
process but also improves the signal-to-noise ratio (SNR) of the
data.
This breakthrough is particularly significant given the critical
role of seismic data in understanding and mitigating natural
disasters. The ability to process large-scale seismic datasets
quickly and accurately can lead to more precise imaging of the
Earth's subsurface, enhancing our understanding of geological
structures and potentially saving lives through better disaster
preparedness.
The Journey of Innovation
The development of this high-performance computing framework is
a testament to the collaborative efforts of Chinese researchers.
Initially commissioned by Dr. Wang Weitao from the Institute of
Geophysics, China Earthquake Administration, the project was
spearheaded by a team from the University of Science and Technology
of China (USTC), led by Professors
Sun Guangzhong and Wu Chao. Their
work laid the foundation for the single-component version of the
code, which was later expanded and optimized by doctoral candidate
Wang Jingxi.
Wang's contributions include the implementation of advanced
preprocessing methods, batch processing, multi-GPU adaptation, and
the extension to nine-component data. These enhancements have not
only improved the computational efficiency but also broadened the
applicability of the framework to various seismic data processing
tasks.
Open Source and Global Collaboration
In a move that underscores China's commitment to global scientific
collaboration, the program's source code has been made publicly
available on GitHub. This open-source initiative allows researchers
worldwide to access, modify, and build upon the work, fostering a
collaborative environment that accelerates scientific progress. The
program has been rigorously tested using datasets from Japan's Hi-net seismic network and research
groups led by Professor Yao Huajian at USTC, demonstrating its
robustness and versatility across different data scales.
Practical Applications and Future Implications
The practical applications of this technology are already being
realized. The accelerated stacking algorithms have been
successfully deployed in various experiments, including imaging of
mining areas, fault zones, and regional geological structures.
These applications highlight the potential of the technology to
contribute to fields such as resource exploration, environmental
monitoring, and disaster prevention.
Looking ahead, this research sets a new standard for seismic
data processing and underscores the potential of AI and
GPU-accelerated computing in solving complex scientific problems.
As China continues to invest in
cutting-edge technologies, the global scientific community can
expect more groundbreaking innovations that push the boundaries of
what is possible.
A Global Perspective on China's Technological Advancements
China's rapid technological
advancements have not gone unnoticed on the global stage. According
to a report by the Australian Strategic Policy Institute,
China now leads in 57 out of 64
key technology areas, ranging from quantum computing to advanced
materials. This progress is driven by substantial investments in
research and development, with China's R&D expenditure exceeding 2.64% of
its GDP in 2023, surpassing the EU average.
Moreover, China's commitment to
international cooperation is evident through agreements such as the
recently extended U.S.-China Science and Technology Cooperation
Agreement.
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SOURCE sinolub