Sentence examples for code generation time from inspiring English sources

To minimize code generation time, our compiler performs most optimizations (for example, register allocation) at compile time and only assembles pre-computed code templates at run time.

The code generators obtained produce locally optimal code, are faster than comparable ones based on Graham-Glanville techniques, and are significantly faster than other recent proposals that manipulate costs explicitly at code generation time.

Such a system scans a description of the problem family, and performs much of the analysis and optimization of the algorithm, such as choosing variable orderings used with sparse factorizations and determining storage structures, at code generation time.

Using MetaOCaml's staging facilities, we show how we can produce a natural and type-safe implementation of Gaussian Elimination which exposes its design choices at code-generation time, so that these choices can effectively be specialized away, and where the resulting code is quite efficient.

The method of design is based on rapid control prototyping, where the key is automatic code generation and real time implementation of control algorithms directly from Simulink block.

In [3], an analysis of CAE tools such as MATLAB/Simulink and dSpace/TargetLink describes how they perform fundamental steps such as physical modelling, simulations, control algorithms design and testing, hardware evaluation, parameter optimization, and finally code generation for real-time software implementations.

This is done using the code generation capabilities of Real Time Workshop in combination with C s-function blocks for adaptive control in Simulink.

Specifically, my thesis work combines run-time code generation (an optimization for improving speed) with certifying compilation (a technique for checking at compile time that the resulting code will not crash).

The approach is based on hierarchical state machines extended with timing constraints, and a supporting toolbox which enables graphical modelling, automatic code generation, simulation and real-time execution of a system.

Concepts include syntactical analysis, semantics, code generation, optimization, and run-time systems.

Both of these paradigms rely on aggressive run-time code generation (RTCG) to recover performance.