Year: 2022
Type: software-paper
Abstract: We present taffo, a framework that automatically performs precision tuning to exploit the performance/accuracy trade-off. In order to avoid expensive dynamic analyses, taffo leverages programmer annotations which encapsulate domain knowledge about the conditions under which the software being optimized will run. As a result, taffo is easy to use and provides state-of-the-art optimization efficacy in a variety of hardware configurations and application domains. We provide guidelines for the effective exploitation of taffo by showing a typical example of usage on a simple application, achieving a speedup up to 60% at the price of an absolute error of 3 . 53 × 1 0 − 5 . taffo is modular and based on the solid llvm technology, which allows extensibility to improved analysis techniques, and comprehensive support for the most common precision-reduced data types and programming languages. As a result, the taffo technology has been selected as the precision tuning tool of the European Training Network on Approximate Computing.
Source: SoftwareX
Institutions: Politecnico di Milano, Edinburgh Napier University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $600
OpenAlex ID: W4308487017