Loop splitting
Loop splitting is a compiler optimization technique. It attempts to simplify a loop or eliminate dependencies by breaking it into multiple loops which have the same bodies but iterate over different contiguous portions of the index range.
Loop peeling
Loop peeling is a special case of loop splitting which splits any problematic first (or last) few iterations from the loop and performs them outside of the loop body.
Suppose a loop was written like this:
int p = 10;
for (int i=0; i<10; ++i)
{
y[i] = x[i] + x[p];
p = i;
}
Notice that p = 10
only for the first iteration, and for all other iterations, p = i - 1
. A compiler can take advantage of this by unwinding (or "peeling") the first iteration from the loop.
After peeling the first iteration, the code would look like this:
y[0] = x[0] + x[10];
for (int i=1; i<10; ++i)
{
y[i] = x[i] + x[i-1];
}
This equivalent form eliminates the need for the variable p
inside the loop body.
Loop peeling was introduced in gcc in version 3.4. More generalised loop splitting was added in GCC 7.[1]
Brief history of the term
Apparently the term was for the first time used by Cannings, Thompson and Skolnick [2] in their 1976 paper on computational models for (human) inheritance. There the term was used to denote a method for collapsing phenotypic information onto parents. From there the term was used again in their papers, including their seminal paper on probability functions on complex pedigrees.[3]
In compiler technology, the term first turned up in late 1980s papers on VLIW and superscalar compilation, including [4] and.[5]
Further reading
- Kennedy, Ken & Allen, Randy. (2001). Optimizing Compilers for Modern Architectures: A Dependence-based Approach. Morgan Kaufmann. ISBN 1-55860-286-0.
- ^ https://gcc.gnu.org/gcc-7/changes.html
- ^ Cannings, C.; Thompson, EA; Skolnick, HH (1976). "The recursive derivation of likelihoods on complex pedigrees". Advances in Applied Probability. 8 (4): 622–625. doi:10.2307/1425918.
- ^ Cannings, C.; Thompson, EA; Skolnick, HH (1978). "Probability functions on complex pedigrees". Advances in Applied Probability. 10 (1): 26–61. doi:10.2307/1426718.
- ^ Callahan, D; Kennedy, K (1988). "Compiling Programs for Distributed-memory Multiprocessors". The Journal of Supercomputing. 2 (2): 151–169. doi:10.1007/BF00128175.
- ^ Mahlke, SA; Lin, DC; Chen, WY; Hank, RE; Bringman, RA (1992). Effective compiler support for predicated execution using the hyperblock. 25th Annual International Symposium on Microarchitecture. pp. 45–54.