New compiler technology optimizes execution performance directly from the Mathematica language using two key innovations: automatic code generation and linking, and automated multicore parallelism. This enhances Mathematica's rapid application development workflow to enable final deployments requiring the ultimate high-performance execution.

• Automatic generation and linking of C code from compiled functions. »
• Multicore parallelism for compiled functions. »
• Listable operation for compiled functions to thread over input arguments. »
• New options to control compilation of Mathematica code. »
• New options to control execution of compiled functions. »
• Extensive tutorials on using the Mathematica compiler. »
• Tools to study the Mathematica compiled function bytecode. »
• Compiled functions can be exported to C code for standalone operation. »
• Compiled functions running in parallel automatically synchronize access to shared resources.
• Compiled functions running in parallel use an efficient parallel memory allocator.
• Compiled functions can insert inline code from other compiled functions. »
• Compiled functions can make efficient calls to other compiled functions. »

Julia Set Explorations »	Multicore Operation »	Explore the Details on the Mandelbrot Set »
Call an External Library Function from Compile »	Study Internal Mathematica Virtual Machine »	Automatic Virtual Machine Optimization »
Used Internally by Mathematica Functions »	Random Number Generation »	Use Compile to Procedurally Generate Textures »

RELATED FUNCTIONS

Compile  CompiledFunction  CompilationTarget  Parallelization  RuntimeAttributes  CompilationOptions  RuntimeOptions