Discover published sets by community

Control Flow Graph is a graphical representation of all paths that might be traversed through a program during its execution. CFG is used in compiler optimizations to analyze the loop structures and paths in the program.

Data Dependence examines how the order of instructions affects the results of a program, crucial in parallel computing optimizations to identify independent instructions that can be executed simultaneously.

Data Flow Equations are mathematical representations that form the basis for most data flow analysis techniques, usually involving sets of gen(kill) and in(out) variables to compute data flow information.

Static Single Assignment is a representation of the program where each variable is assigned exactly once. It simplifies data flow analysis and quickly exposes optimization opportunities by making explicit the data flow relationships of variables.

Dead Code Elimination removes code that does not affect the program's observable behavior (like computations whose results are never used), which can improve performance and reduce code size.

Interprocedural Analysis extends data flow analysis across function boundaries, enhancing the ability to perform optimizations such as constant propagation, dead code elimination, and inlining at the program level.

Dominance Analysis find out if one control-flow path always leads to another and is crucial for constructing control-flow graphs and loop optimization.

Constant Propagation is the process of substituting the values of known constants in expressions at compile time. This can lead to optimizations by removing unnecessary instructions.

Use-Define Chains map every use of a variable back to the definitions that could reach that use, enabling optimizations including register allocation, instruction scheduling, and redundancy elimination.

Reaching Definitions identifies definitions of variables that reach a particular point in the code without being overwritten. This analysis helps detect possible optimizations for common subexpression elimination.

Copy Propagation is the process of replacing instances of variables with their respective values when these variables are copies of each other, effectively reducing the number of assignments and improving code.

Loop Invariant Code Motion identifies computations within loops that produce the same result each iteration and moves them outside the loop, resulting in less computation per iteration and improved performance.

Liveness Analysis determines whether a variable holds a value that may be needed in the future, impacting decisions on register allocation and dead code elimination. Variables are considered 'live' if they are used before being redefined.

Available Expressions analysis determines which expressions have already been computed and have not been modified by subsequent operations. This is used to optimize redundant expression computations away.