RTL Circuit Optimization via Graph Constraint Propagation
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Solution Overview
Problem
The design of hardware circuits at the Register-Transfer Level (RTL) abstraction is hindered by a large design space and the limitations of existing optimization techniques, such as interval arithmetic, which fail to capture relationships between variables, leading to suboptimal implementations and increased complexity in manual design processes.
Innovation Solution
A constraint-aware optimization approach is introduced, where RTL designs are converted into graph representations, allowing for the identification and optimization of conditional operators and their branches, using techniques like zone/octagon abstract domains and e-graphs to automate constraint propagation and branch-specific optimizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If interval arithmetic is used for optimization, then computation is simple, but optimization capability is weak and relationships between variables are not captured
Solution Approach 1:
The patent changes the parameter of variable representation from simple intervals to polyhedral constraints that can capture relationships between multiple variables. This allows the optimization to consider correlations between variables while maintaining computational tractability through systematic constraint propagation.
Solution Approach 2:
The patent introduces constraint propagation as an intermediary mechanism that bridges simple interval arithmetic and complex relationship capture. By propagating constraints through the circuit design, the system can derive relationships between variables without requiring direct complex analysis of all variable interactions.
2Measurement precision
If manual hardware design is performed to achieve greatest performance, then optimization is maximized, but design process is time-consuming and expensive
Solution Approach 1:
The patent enables the EDA tool to perform constraint propagation and optimization automatically without manual intervention. The system self-services by systematically analyzing the circuit design, propagating constraints, and generating optimized RTL code, thereby capturing manual optimization capabilities while eliminating time and cost overhead.
Solution Approach 2:
The patent replaces the mechanical manual design process with an automated computational system that uses constraint propagation algorithms. This substitution maintains the optimization quality of manual design while eliminating the time-consuming and expensive nature of human intervention.
3Measurement precision
If the design space is explored thoroughly to find optimal implementations, then circuit performance is improved, but design complexity increases
Solution Approach 1:
The patent segments the large design space into manageable constraint propagation steps. By breaking down the optimization problem into systematic constraint analysis and propagation phases, the system can explore the design space thoroughly without being overwhelmed by its overall complexity.
Solution Approach 2:
The patent performs preliminary constraint propagation to identify and eliminate suboptimal design paths before full exploration. By pre-processing the design space with constraint analysis, the system reduces the effective complexity of the search space while maintaining the ability to find optimal solutions.
Data Source
AI summary
An example relates to an apparatus for generating a register transfer level (RTL) representation of a circuit, the apparatus comprising interface circuitry, machine-readable instructions and processing circuitry to execute the machine-readable instructions to generate a graph representation of the circuit, the graph representation comprising a first set of vertices representing operators and a second set of vertices representing operands of the graph representation of the circuit. The processing circuitry is to execute the machine-readable instructions to identify one or more conditional operators, with each conditional operator defining at least two possible outcomes depending on the condition, and with each possible outcome being represented by a branch of the graph representation of the circuit. The processing circuitry is to execute the machine-readable instructions to determine, for the possible outcomes of the one or more conditional operators, a condition imposed by the respective outcome. The processing circuitry is to execute the machine-readable instructions to annotate at least a subset of the vertices of the respective branches representing the possible outcomes with the condition imposed by the corresponding outcome. The processing circuitry is to execute the machine-readable instructions to generate an RTL representation of the circuit based on the graph representation of the circuit.