Kernel Tuning Toolkit

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F23%3A00130522" target="_blank" >RIV/00216224:14610/23:00130522 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S235271102300081X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S235271102300081X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.softx.2023.101385" target="_blank" >10.1016/j.softx.2023.101385</a>

Result language
angličtina
Original language name
Kernel Tuning Toolkit
Original language description
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.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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