Zobrazeno 1 - 10
of 1 004
pro vyhledávání: '"autotuning"'
Autor:
Michal Moucka, Milan Hofreiter
Publikováno v:
IEEE Access, Vol 12, Pp 136202-136221 (2024)
The optimal setting of parameters of PID controllers is a significant requirement of industrial practice. It seems intuitive, but it can be complicated, especially when there are many (often conflicting) requirements for the control process. Many reg
Externí odkaz:
https://doaj.org/article/104af3ad30bb43cfa884b40c97b17f3a
Publikováno v:
Energies, Vol 17, Iss 10, p 2290 (2024)
Reductions in energy consumption and greenhouse gas emissions are required globally. Under this background, the Multilayer Perceptron machine-learning algorithm was used to predict liquid natural gas consumption to improve energy consumption efficien
Externí odkaz:
https://doaj.org/article/1abe7bee583549ff86838e4cc730f194
Autor:
Yao Hu
Publikováno v:
IEEE Access, Vol 11, Pp 40373-40383 (2023)
The Message Passing Interface (MPI) is a crucial programming tool for enabling communication between processes in parallel applications. The goal of MPI users is to allocate tasks to processors in a way that maximizes both spatial and temporal locali
Externí odkaz:
https://doaj.org/article/fe857fbd4acd4055922fa58abd4110b5
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101496- (2023)
This article presents Kadabra, a Java source-to-source compiler that allows users to make code queries, code analysis and code transformations, all user-programmable using the domain-specific language LARA. We show how Kadabra can be used as the basi
Externí odkaz:
https://doaj.org/article/7b9bcebd81de42ee9d8b97d139d0b155
Publikováno v:
Mathematics, Vol 12, Iss 4, p 543 (2024)
The 3D integrated circuit (3D-IC) is garnering significant attention from academia and industry as a key technology leading the post-Moore era, offering new levels of efficiency, power, performance, and form-factor advantages to the semiconductor ind
Externí odkaz:
https://doaj.org/article/970994eee61045739a07b83a0f9fe605
Autor:
Victor Yon, Bastien Galaup, Claude Rohrbacher, Joffrey Rivard, Clément Godfrin, Ruoyu Li, Stefan Kubicek, Kristiaan De Greve, Louis Gaudreau, Eva Dupont-Ferrier, Yann Beilliard, Roger G Melko, Dominique Drouin
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 4, p 045034 (2024)
This study presents a machine learning-based procedure to automate the charge tuning of semiconductor spin qubits with minimal human intervention, addressing one of the significant challenges in scaling up quantum dot technologies. This method exploi
Externí odkaz:
https://doaj.org/article/10d2de8644b04d7c856861808b543b37
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 513 (2024)
Tuning tensor program generation involves navigating a vast search space to find optimal program transformations and measurements for a program on the target hardware. The complexity of this process is further amplified by the exponential combination
Externí odkaz:
https://doaj.org/article/fbbf249cbaee42f888112982dfb82c3f
Akademický článek
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Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Autor:
Filip Petrovič, Jiří Filipovič
Publikováno v:
SoftwareX, Vol 22, Iss , Pp 101385- (2023)
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
Externí odkaz:
https://doaj.org/article/ff6478ae80e94125879b020f890f6411