May 7, 2024 · The proposed comprehensive guide for collecting and sharing performance data in autotuning research can promote further advances in the field ...
May 7, 2024 · In this paper, we outline principles, guidelines, and mechanisms to reflect the questions about performance data sharing from the view of ...
The adoption of FAIR Principles, which stands for Findable, Accessible, Interoperable, and Reusable, is proposed to organize the guidelines for data sharing ...
FAIR Sharing of Data in Autotuning Research (Vision Paper)
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In this paper, energy-based fair queuing (EFQ) is proposed as a pivotal instrument to maximize the user experience in this type of system. Energy-based fair ...
Grigori Fursin. 2021. Collective knowledge: organizing research projects as a database of reusable components and portable workflows with common interfaces.
The paper published today investigates how the FAIR principles may be applied in various use cases where sharing data could be beneficial to auto-tuning ...
FAIR Sharing of Data in Autotuning Research (Vision Paper). J Hozzová, JO Tørring, B van Werkhoven, D Strelák, R Vuduc. Companion of the 15th ACM/SPEC ...
Richard Vuduc's 18 research works with 53 citations, including: FAIR Sharing of Data in Autotuning Research (Vision Paper)
Autotuning is an automated process that selects the best computer program implementation from a set of candidates to improve performance, such as execution ...
Aug 7, 2024 · We propose AutoFAIR, an architecture designed to enhance data FAIRness automately. Firstly, We align each data and metadata operation with specific FAIR ...
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