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High-level synthesis (HLS) is utilized for high-performance and energy-efficient heterogeneous systems designing. HLS is assist in field-programmable gate array circuits designing where hardware implementations are refined and replaced in target device. However, the power-process-voltage-temperature-delay (PPVTD) variation in VLSI circuits undergoes many problems and reduced the performance. In order to address these problems, C4.5 with eXtreme Gradient Boosting Classification based High Level Synthesis (C4.5-XGBCHLS) Method is designed for afford better runtime adaptability (RA) with minimal error rate. VLSI circuits are designed using the behavioral input and results are measured at running condition. When VLSI circuit’s results get reduced, the language description of the circuit is considered as an input. Then, compilation process convert high level specification into Intermediate Representation (IR) in control/data flow graph (CDFG). CDFG computes data and control dependencies among operations. eXtreme Gradient Boosting (XGBoost) Classifier is exploited in C4.5-XGBCHLS method to classify the error causing functional unit (FU) with minimal error rate. XGBoost Classifier exploited C4.5 decision tree as base classifier to enhance classification of error causing FU in VLSI circuits. After that, FU gets allocated in place of error causing FU from functional library based on the design objectives and PPVTD variations. Finally, operation scheduling and binding process is executed for register transfer level (RTL) generation to form VLSI circuits with improved RA. The simulation results shows that the C4.5-XGBCHLS method enhances the performance of functional unit selection accuracy (FUSA) with minimal error rate (ER) and circuit adaptability time (CAT).

In this work, a modified square photonic crystal fiber (MS-PCF) architecture is exposed with ultra-high negative dispersion for communication window. The validation of the model is successfully performed by applying an efficient full-vector finite element method (FV-FEM) with anisotropic perfectly matched layers (PMLs) for precise simulation of PCFs. Additionally, waveguide dispersion engineering is accomplished by tuning the structural parameters of the MS-PCF. From the numerical investigation, negative dispersion behavior permits remarkable suppression rather than positive dispersion. It offers the high negative dispersion of −2357.54 ps/nm/km and Kerr nonlinearity (γ) of 74.68 W−1 km−1 simultaneously at the operating wavelength, λ = 1550 nm. Nevertheless, the designed fiber ensures the mono mode operation in the entire band of interest from λ = 1340 nm to λ = 1580 nm. MS-PCF with these outstanding optical performances has distinguished potency to be practiced as a dispersion compensating fiber in optical communication systems.