Back to Search Start Over

Kernel Tuning Toolkit

Authors :
Filip Petrovič
Jiří Filipovič
Source :
SoftwareX, Vol 22, Iss , Pp 101385- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Kernel Tuning Toolkit (KTT) is an autotuning framework for CUDA, OpenCL and Vulkan kernels. KTT provides advanced autotuning features such as support for both dynamic (online) and offline tuning, and an ability to tune multiple kernels together with shared tuning parameters. Furthermore, it offers customization features that make integration into larger software suites possible. The framework handles all major steps required for autotuning implementation, including configuration space creation and exploration, kernel code execution and output validation. The public API is available natively in C++ and via bindings in Python.

Details

Language :
English
ISSN :
23527110
Volume :
22
Issue :
101385-
Database :
Directory of Open Access Journals
Journal :
SoftwareX
Publication Type :
Academic Journal
Accession number :
edsdoj.ff6478ae80e94125879b020f890f6411
Document Type :
article
Full Text :
https://doi.org/10.1016/j.softx.2023.101385