SIMD Shuffle Logic Gate Simulation
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Solution Overview
Problem
The computational burden of simulating gate-level digital circuit designs is significant due to the complexity and resource-intensive nature of modeling individual logic gates, which increases time and resource costs as circuit complexity grows.
Innovation Solution
The use of single-instruction, multiple-data (SIMD) instructions, specifically byte shuffle and population count instructions, allows for concurrent simulation of multiple heterogeneous logic gates by assigning logic gates to SIMD element positions and executing a single instruction that simulates the behavior of multiple gates with different logic functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If gate-level model is used to represent digital circuit, then manufacturing precision and reliability are improved, but computational burden and simulation time increase significantly
Solution Approach 1:
The gate-level circuit is segmented into multiple logic levels, where each level contains logic gates that can be simulated concurrently. This segmentation allows the simulation to process large numbers of gates in parallel batches, reducing overall simulation time while maintaining accurate gate-level representation.
Solution Approach 2:
The invention introduces a new dimension of parallelism by organizing gate simulation into multiple levels and using concurrent execution across these levels. This dimensional organization transforms the simulation from sequential gate-by-gate processing to parallel level-based processing, dramatically reducing simulation time.
2Manufacturing precision
If gate-level model is used to represent digital circuit, then manufacturing precision and reliability are improved, but computational resources required increase
Solution Approach 1:
By segmenting the circuit into logic levels and processing gates in parallel within each level, the computational workload is distributed more efficiently across available resources, reducing the total computational burden while maintaining accurate gate-level simulation.
Solution Approach 2:
Multiple logic gates at the same logic level are merged into a single simulation step, allowing concurrent evaluation of numerous gates. This merging reduces the total number of sequential operations required, thereby decreasing computational resource consumption.
3Productivity
If conventional SIMD instructions are used for logic gate simulation, then productivity is improved, but device complexity increases due to homogeneous instruction requirements
Solution Approach 1:
The invention makes conventional homogeneous SIMD instructions universal by showing how they can simulate multiple heterogeneous logic gate types (AND, OR, NAND, NOR, XOR, etc.) through appropriate encoding of logic gate types and input values. This multi-functionality allows a single SIMD instruction format to handle diverse logic operations, improving productivity without requiring specialized heterogeneous SIMD instructions.
Solution Approach 2:
The invention changes the parameters encoded within the SIMD instruction operands to represent different logic gate types and their inputs. By varying these parameters (logic gate type encoding, input value encoding), the same SIMD instruction structure can simulate different logic functions, reducing device complexity while maintaining high productivity.
Data Source
AI summary
Techniques for logic gate simulation. Program instructions may be executable by a processor to select logic gates from a netlist that specifies a gate-level representation of a digital circuit. Each logic gate may be assigned to a corresponding element position of a single-instruction, multiple-data (SIMD) shuffle or population count instruction, and at least two logic gates may specify different logic functions. Simulation-executable instructions including the SIMD shuffle or population count instruction may be generated. When executed, the simulation-executable instructions simulate the functionality of the selected logic gates. More particularly, execution of the SIMD shuffle or population count instruction may concurrently simulate operation of at least two logic gates that specify different logic functions.