Abstract: In recent years, several approaches have been proposed to use profile information in compiler optimization. This profile information can be used ...

On the Impact of Data Input Sets on Statistical Compiler Tuning. M. Haneda. 1. , P.M.W. Knijnenburg. 1,2. , and H.A.G. Wijshoff. 1. 1. LIACS, Leiden University.

In this paper, we address this problem for a specific statistical compiler tuning method. We use three different platforms and several SPECint2000 benchmarks.

On the impact of data input sets on statistical compiler tuning. In Proc. Workshop on Performance Optimization for. High-Level Languages and Libraries (POHLL) ...

On the impact of data input sets on statistical compiler tuning · M. HanedaP ... data sets are sufficient to obtain a well optimized program for all inputs.

On the impact of data input sets on statistical compiler tuning. Conference ... data sets is sufficient to obtain a well optimized program for all inputs.

Apr 24, 2018 · We have presented a method for optimizing parameters of task-parallel runtime systems by statically identifying tasks and performing a set of ...

To separate the performance effects attributed to the tuning algorithms from those caused by the input sets, we measure program performance under both the train ...

Aug 21, 2024 · We introduce CompilerDream, a model-based reinforcement learning approach to general code optimization.

An optimizing compiler is a compiler designed to generate code that is optimized in aspects such as minimizing program execution time, memory usage, ...