GPU-Based Human Body Microwave Echo Simulation
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Solution Overview
Problem
Conventional computers or CPU workstations struggle with real-time computation and generation of high-dimensional echo simulations in human body three-dimensional scanning and imaging systems due to heavy computing burdens and high complexity.
Innovation Solution
A GPU-based human body microwave echo simulation method and system that involves transmitting emulation input parameters from a CPU host to a GPU device, configuring parallel computing network parameters, initiating a kernel function for echo simulation, and computing simulation echoes in a multi-threaded manner on the GPU device, allowing for parallel processing and efficient data transmission back to the CPU host.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional computers or CPU workstations are used for echo simulation, then the system structure is simple and ease of operation is maintained, but the computing speed is too slow and real-time performance cannot be achieved
Solution Approach 1:
The patent segments the computing task by separating the CPU host from the GPU device. The CPU handles data preparation and control, while the GPU performs the computationally intensive echo simulation in parallel. This segmentation allows the system to achieve high computing speed through the GPU's parallel processing capability while keeping the overall system architecture relatively simple and manageable.
2Measurement precision
If high-dimensional echo simulations are performed with multiple channels, then the simulation accuracy and completeness are improved, but the computational burden increases significantly
Solution Approach 1:
The patent substitutes the traditional sequential CPU-based computational mechanism with a parallel GPU-based computational mechanism. This substitution enables the system to handle high-dimensional echo simulations with multiple channels efficiently, as the GPU's architecture is specifically designed for parallel processing of large datasets, thereby reducing the computational burden while maintaining simulation accuracy.
3Productivity
If parallel computing is implemented using GPU, then the real-time performance and computing efficiency are significantly improved, but the device complexity and programming complexity increase
Solution Approach 1:
The patent introduces an intermediary layer that manages the interaction between the CPU host and GPU device. This intermediary handles the complex aspects of parallel computing setup, including configuring parallel computing network parameters, managing data transfer between CPU and GPU memory, and coordinating the kernel function execution. By encapsulating these complexities in a managed interface, the system achieves high computing efficiency while reducing the burden on the programmer.
Data Source
AI summary
A GPU-based human body microwave echo simulation method includes: transmitting emulation input parameters from the memory of a CPU host into the display memory of a GPU device; configuring, at the CPU host, parallel computing network parameters to be run at the GPU device; initiating a kernel function for human body microwave echo simulation preset in the CPU host; computing the kernel function in parallel, in a plurality of processing kernels of the GPU device, in a multi-threaded manner, according to the parallel computing network parameters, to obtain simulation echoes of human body microwaves; transmitting the obtained simulation echoes of human body microwaves from the GPU device back to the CPU host. The method makes full use of the characteristic that a GPU can perform parallel computing to accelerate the echo simulation process, greatly improving the real-time performance of echo simulation of a human body microwave scanning and imaging system.