The invention provides compiler loop optimization techniques to take advantage of a zero overhead loop mechanism (ZOLM) in a processor, e.g., a ZOLM in the form of a zero overhead loop buffer (ZOLB). In an illu
Parallelism and constraints in loops. Optimization strategy The compiler must schedule operations so that they do not violate the data dependencies—that is, the code does not try to use a value before it has been computed. In general, many possible schedules satisfy the data dependencies, ...
Therefore, loops are usually the hotspots in an application, i.e., important code regions that have the highest impact in performance/energy/power. The list of loop transformations a compiler (or a programmer) can apply is very extensive and most compilers (even commercial ones) only support ...
Instead of justifying the optimization statically, a compiler can also synthesize preconditions that imply the correctness of the optimizations and are checked at the runtime of the program. In this paper, we present a framework to collect, generalize, and simplify assumptions based on Presburger ...
While loop acceleration is useful also in other areas, e.g., for compiler optimizations, verifiers have the possibility of using loop abstractions (i.e., overapproximatons) instead, for aiding the generation of correctness proofs. Since loop abstraction is closely related to invariant generation,...
2 2016/11/23 could identify and rank loop patterns whose support would most improve a compiler's coverage of loops. Second, mining semantic idioms identifies opportuni- ties for new API features that can significantly simplify existing code (subsection 6.2). For example, we found that in lucene...
Currently, pySLAM supports both g2o and gtsam for graph optimization, with g2o set as the default engine. While gtsam is fully supported, it remains experimental and a work in progress. You can enable gtsam by setting to True the following parameters in config_parameters.py: # Optimization engi...
Compiler optimization has, since the first fortran compiler, focused on improving code in loops. The reason is simple: code inside loops executes more frequently than code outside of loops. This observation has led to the development of specialized scheduling techniques that attempt to decrease the...
Loop blocking (tiling) is a well-known compiler optimization that helps improve cache performance by dividing the loop iteration space into smaller blocks ... Panda, P.R.,H Nakamura,Dutt, N.D.,... - 《Computers IEEE Transactions on》 被引量: 189发表: 1999年 Loop Tiling for Parallelism ...
The present invention relates to an optimizing device for code optimization in the compiler and particularly relates to a compiler optimizing device which makes optimization by transfer of the loop invariant expressions and the method therefor. 2. Description of the Related Art In general, the co...