Uncertainty Compute Device With Storage Emulation for Faster Tracking
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Solution Overview
Problem
Conventional computing platforms struggle to handle uncertainty distributions, requiring expensive and slow Monte Carlo methods for offline analyses, and integrating uncertainty tracking into existing systems is challenging due to the unique demands of uncertainty computation.
Innovation Solution
A compute device with an interface module for data communication and a compute module for processing uncertainty information, capable of performing operations on uncertainty distributions without modifying the host system, and emulating storage devices like SD cards for seamless integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Monte Carlo methods are used to handle uncertainty distributions, then the accuracy of processing results is improved, but the computation time and resource requirements increase significantly
Solution Approach 1:
The patent extracts the uncertainty computation functionality from the host system and places it in a separate compute device that emulates a storage device. This allows uncertainty tracking to be performed in parallel with main computations, eliminating the sequential bottleneck that causes long computation times in Monte Carlo methods while maintaining result accuracy.
Solution Approach 2:
The compute device acts as an intermediary between the host system and uncertainty data. It receives uncertainty information from the host, performs specialized uncertainty computations, and returns results to the host. This intermediary architecture enables efficient handling of uncertainty distributions without requiring the host system to be modified or to perform computationally intensive operations directly.
2Productivity
If specialized hardware and dedicated software are used for uncertainty tracking, then the computation efficiency is improved, but the device complexity and integration difficulty increase
Solution Approach 1:
The compute device copies the appearance and interface behavior of a standard storage device (emulating storage device protocols and commands). This allows the specialized uncertainty computation hardware to be integrated into existing systems without requiring modifications to the host system or development of new integration software, thereby reducing integration complexity while maintaining high computation efficiency.
3Ease of operation
If uncertainty information is processed on the host system, then the integration is simpler, but the time and resources required for uncertainty computation increase
Solution Approach 1:
The system is segmented into two parts: the host system that handles main computational tasks and the compute device that handles uncertainty computation. This segmentation allows the host to remain simple and unmodified (easy integration) while the specialized compute device handles the resource-intensive uncertainty processing, thereby reducing the resource requirements on the host system.
Data Source
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AI summary
The present disclosure relates to a compute device for uncertainty tracking. The compute device includes an interface module configured for data communication with a host; and a compute module configured to process uncertainty information contained in input data received from the host via the interface module.