Machine learning-based cache miss prediction

Integrating machine learning into computer architecture simulation offers a new approach to performance analysis, moving away from traditional algorithmic methods. While existing simulators accurately replicate hardware, they often suffer from slow execution, complex documentation, and require deep...

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Podrobná bibliografia
Vydané v:	International journal on software tools for technology transfer Ročník 27; číslo 1; s. 53 - 80
Hlavní autori:	Jelačić, Edin, Seceleanu, Cristina, Xiong, Ning, Backeman, Peter, Yaghoobi, Sharifeh, Seceleanu, Tiberiu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2025 Springer Nature B.V
Predmet:	Algorithms Architecture Business metrics Cache Computer Science Deep learning Design Hardware Image processing Image processing systems Machine learning Neural networks Simulation Simulators Software Software Engineering Software Engineering/Programming and Operating Systems Theory of Computation Simulation Machine learning Cache
ISSN:	1433-2779, 1433-2787, 1433-2787
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