FPGA Programming Optimization Using Latency Tables
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Solution Overview
Problem
FPGA programming for real-time simulations in fields like power electronics and electromobility is limited by maximum clock cycles and complexity, leading to increased development and verification times, as existing methods fail to optimize clock rates and latencies effectively, resulting in suboptimal run times.
Innovation Solution
A method that utilizes a library of elementary operations with latency tables to determine the optimal clock rate by calculating a quality factor that balances latency and utilization, employing mathematical optimization to identify the best compromise between minimum latency and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the clock cycle is increased for faster control loops, then the processing speed is improved, but the clock cycles of individual operations must be increased, resulting in limited gain
Solution Approach 1:
The patent applies parameter changes by systematically varying clock rates and latencies of individual operations to find the optimal configuration. The method explores different combinations of clock cycles per operation and overall clock rates to minimize total run time, rather than simply increasing clock rate without optimization.
Solution Approach 2:
The patent implements dynamics by making the clock rate and operation latency configurable and optimizable rather than fixed. The system dynamically adjusts the number of clock cycles per operation and the overall clock rate based on the specific computational requirements, allowing flexible optimization of the data path execution time.
2Manufacturing precision
If manual work with hardware descriptions is performed, then customization and optimization are possible, but development and verification times increase considerably
Solution Approach 1:
The patent applies preliminary action by pre-defining a library of elementary operations with associated latency information. This library serves as a prepared resource that can be directly utilized in automated tool-based FPGA programming, eliminating the need for manual hardware description while maintaining optimization capability.
Solution Approach 2:
The patent implements self-service through automated tools that perform FPGA configuration based on the elementary operation library. The system automatically generates and optimizes the hardware description and configuration files without requiring manual intervention, thereby reducing development time while maintaining precision through the structured library approach.
3Loss of time
If automated tools are used for FPGA programming, then development time is reduced, but optimization of clock rates and latencies becomes difficult
Solution Approach 1:
The patent enables parameter changes by incorporating clock rate and latency as optimizable parameters in the automated programming process. The tools use the elementary operation library to systematically evaluate different parameter combinations and select the configuration that minimizes total execution time, combining automation with optimization capability.
Solution Approach 2:
The patent implements feedback mechanisms where the automated programming tools use latency information from the elementary operation library to evaluate and compare different configuration options. This feedback loop allows the system to iteratively improve the FPGA configuration by selecting parameter combinations that achieve optimal run time based on the specific computational task.
Data Source
AI summary
A method for programming an FPGA, wherein a library with elementary operations and a respective latency table for each of the elementary operations of the library are provided. a data path is defined. The latencies are recorded for a multiplicity of clock rates that are different from one another and these latencies are added for every clock rate so that a total latency for the data path results for this multiplicity of different clock rates. The ratio between the lowest total latency and the total latency at a respective clock rate is determined. A utilization of the FPGA for each clock rate is identified. The ratio between the lowest utilization of the FPGA and the utilization of the FPGA at a respective clock rate is determined. A quality factor for each clock rate while taking into account the total latency and the utilization of the FPGA is determined.