Multi-Layer Force Summation Using Memory and Network Switches
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Solution Overview
Problem
Existing methods for calculating multi-layer summation operations in force calculations between atoms within a substance are inefficient, leading to high communication overhead and prolonged calculation times.
Innovation Solution
A data processing system comprising memory devices, network switches, and a host device that perform multi-layer summation operations by generating grid point information from particle data, calculating proximity and grid forces, and utilizing lookup tables to accelerate calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multi-layer summation operations are performed using existing methods, then force calculations between atoms can be completed, but communication overhead increases and calculation time is prolonged
Solution Approach 1:
The patent divides the calculation system into multiple layers (first layer, second layer, third layer) with different network switches performing force calculations at each level. Memory devices generate grid point information and calculate proximity forces, first network switches calculate first grid forces, second network switches calculate second grid forces, and third network switches calculate third grid forces. This segmentation allows parallel processing of force calculations across multiple devices simultaneously, significantly improving calculation speed while reducing the time each individual device needs to process data.
Solution Approach 2:
The patent introduces a hierarchical multi-layer architecture that adds a dimensional aspect to the force calculation process. Instead of a single-layer calculation, the system operates across multiple hierarchical levels where each layer processes forces at different spatial or computational scales. This dimensional expansion enables more efficient distribution of computational workload and reduces communication overhead by organizing calculations in a structured hierarchy.
2Productivity
If existing calculation methods are used, then force operations can be processed, but communication overhead between devices increases
Solution Approach 1:
The calculation workload is segmented across multiple network switches operating in different layers. Each network switch (first, second, third layer) handles specific force calculation tasks independently, processing grid forces at their respective levels. This segmentation reduces communication overhead by localizing data processing to specific devices rather than requiring all devices to communicate with each other, thereby improving calculation efficiency while managing device complexity.
Solution Approach 2:
The patent introduces intermediate grid point information and intermediate force calculation results as mediators between different calculation layers. Memory devices generate grid point information that serves as an intermediary for network switches to calculate forces. First network switches calculate first grid forces based on grid point information, which then become input for second network switches calculating second grid forces, and so on. These intermediaries structure the data flow and reduce direct communication requirements between all devices.
Data Source
AI summary
A data processing system configured to calculate a reference particle force according to embodiments, includes a plurality of memory devices configured to generate a plurality of first grid point information and calculate at least one of a plurality of proximity forces, a plurality of first network switches configured to generate the plurality of second grid point information and calculate a plurality of first grid forces, a second network switch configured to generate third grid point information and calculates a plurality of second grid forces, and a host device configured to receive the third grid point information and calculate the reference particle force.