Skip to Main content Skip to Navigation

Automatic generation of adaptive codes

Abstract : In this thesis we introduce a new application programming interface to help developers to optimize an application with approximate computing techniques. This interface is provided as a language extension to advise the compiler about the parts of the program that may be optimized with approximate computing and what can be done about them. The code transformations of the targeted regions are entirely handled by the compiler to produce an adaptive software. The produced adaptive application allocates more computing power to the locations where more precision is required, and may use approximations where the precision is secondary. We automate the discovery of the optimization parameters for the special class of stencil programs which are common in signal/image processing and numerical simulations. Finally, we explore the possibility of compressing the application data using the wavelet transform and we use information found in this basis to locate the areas where more precision may be needed.
Complete list of metadata

Cited literature [136 references]  Display  Hide  Download
Contributor : ABES STAR :  Contact
Submitted on : Tuesday, March 24, 2020 - 6:02:08 PM
Last modification on : Thursday, December 2, 2021 - 3:16:55 AM
Long-term archiving on: : Thursday, June 25, 2020 - 3:11:02 PM


Files produced by the author(s)


  • HAL Id : tel-02327764, version 2


Maxime Schmitt. Automatic generation of adaptive codes. Data Structures and Algorithms [cs.DS]. Université de Strasbourg, 2019. English. ⟨NNT : 2019STRAD029⟩. ⟨tel-02327764v2⟩



Record views


Files downloads