The mathematica compiler is used in analysing the Wolfram Language calculations. This enables fast computation as the mechanism works on dividing computations into pieces of small mathematical functions. Here in mathematica the compiler dynamic is collateral with specific system domain through fundamental arrays and numeric data types. The most generic dilemma seen with the use of compiler is it treated as a C, C++ or a java compiler where entire program is compiled at once. This article dwells on addressing mathematica system compiler, it as a symbolic power, its configuration and variegated functions to handle parallelism, GPU computing and more. Mathematica has been a prowess to machine learning, data analysis, business analysis, image processing and compression, cognitive intelligent approaches, Knowledge Representation & Natural Language and much more. Mathematica comprises of super-functions for compilation, around 5,030 built-in-functions, Meta algorithms and modules to enhance the wolfram language computations as well. Wolfram’s mathematica compiler provides an efficient way to scale up mathematical computations by rewriting those in more algorithmic ways. Wolfram’s Mathematica System Compiler For Code Generation

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