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Bounds-checking elimination could eliminate the second check if the compiler or runtime can determine that neither the array size nor the index could change between the two array operations. Another example occurs when a programmer loops over the elements of the array, and the loop condition guarantees that the index is within the bounds of the ...
function Build-Path(s, μ, B) is π ← Find-Shortest-Path(s, μ) (Recursively compute the path to the relay node) remove the last node from π return π B (Append the backward search stack) function Depth-Limited-Search-Forward(u, Δ, F) is if Δ = 0 then F ← F {u} (Mark the node) return foreach child of u do Depth-Limited-Search-Forward ...
The JS++ programming language is able to analyze if an array index or map key is out-of-bounds at compile time using existent types, which is a nominal type describing whether the index or key is within-bounds or out-of-bounds and guides code generation. Existent types have been shown to add only 1ms overhead to compile times. [2]
In compiler theory, common subexpression elimination (CSE) is a compiler optimization that searches for instances of identical expressions (i.e., they all evaluate to the same value), and analyzes whether it is worthwhile replacing them with a single variable holding the computed value.
It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the remaining cost to get to the goal from the A* search algorithm. Since it is a depth-first search algorithm, its memory usage is lower than in A*, but unlike ordinary iterative deepening search, it ...
Use of bound information makes it possible for a compiler to generate code that performs bounds checking, i.e. that tests if a pointer's value lies within the bounds prior to dereferencing the pointer or modifying the value of the pointer.
a depth-first search starting at the node A, assuming that the left edges in the shown graph are chosen before right edges, and assuming the search remembers previously visited nodes and will not repeat them (since this is a small graph), will visit the nodes in the following order: A, B, D, F, E, C, G.
An n-bit LUT can encode any n-input Boolean function by storing the truth table of the function in the LUT. This is an efficient way of encoding Boolean logic functions, and LUTs with 4-6 bits of input are in fact the key component of modern field-programmable gate arrays (FPGAs) which provide reconfigurable hardware logic capabilities.