Nowadays, parallel applications are used every day in high-performance computing, scientific computing, and also in everyday tasks due to the pervasiveness of multi-core architectures. However, several implementation challenges have so far stifled the integration of parallel applications and automatic precision tuning. First of all, tuning a parallel application introduces difficulties in the detection of the region of code that must be affected by the optimization. Moreover, additional challenges arise in handling shared variables and accumulators. In this work, we address such challenges by introducing OpenMP parallel programming support to the TAFFO precision tuning framework. With our approach, we achieve speedups up to 750% with respect to the same parallel application without precision tuning.
You can find the full paper in: https://zenodo.org/record/6628877
