Some times it is possible.
However, it's very hard.
The best way to beat the compiler is to improve the program instead of chasing minuscule gains in performance from optimising assembly.
Yes but understand a lot of it today is not just the processor, what is outside the processor plays a major role in the performance..
To exploit parallelism and locality in a compiler, you should consider the following: Using affine transform theory to partition data.
Using affine transform theory to partition loops.
Using affine transform theory to partition the iteration space..
Compiler optimization is generally implemented using a sequence of optimizing transformations, algorithms which take a program and transform it to produce a semantically equivalent output program that uses fewer resources or executes faster..
CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks.
It allows ML researchers to interact with important compiler optimization problems in a language and vocabulary with which they are comfortable, and provides a toolkit for systems developers to expose new compiler tasks for ML research.
GCC is a production-grade compiler for C and C++ used throughout industry.
The environment provides several datasets and a large, high dimensional action space that works on several GCC versions.
For further details check out the reference documentation.
[CompilerGym Explorer] Started development of a web frontend for the LLVM environments.
The work-in-progress Flask API and React website can be found in the www directory. [New Backend API] Added a mechanism for sending arbitrary data payloads to the compiler service backends ( #313 ).
