Optimizing VLSI Design Verification with Histogram-Based Difference Algorithm

Abstract

Abstract: This research explores the optimization of Very Large Scale Integration (VLSI) plan confirmation utilizing the Histogram-Based Distinction Calculation (HBDA) and compares its execution with conventional calculations. Through comprehensive tests, HBDA illustrates predominant confirmation speed, precision, and asset utilization compared to ordinary strategies such as Exhaustive Comparison Algorithm (ECA), Cross-Correlation Calculation (CCA), and Energetic Time Twisting Calculation (DTWA). Particularly, HBDA accomplishes a normal confirmation speed of 25 milliseconds, with a precision of 98.5% and asset utilization of 75%. In differentiation, ECA shows slower confirmation speed (150 milliseconds) and higher asset utilization (100%), whereas CCA and DTWA appear halfway in execution in terms of speed, exactness, and asset utilization. The related work survey highlights different inventive strategies in VLSI plan and optimization, counting neuromorphic computing, vitality gathering, and IoT frameworks. By and large, this research contributes to progressing VLSI plan confirmation techniques, advertising a more effective and solid approach to guarantee the usefulness and unwavering quality of cutting-edge electronic frameworks.