Mostrando 4 resultados de: 4
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Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015(1)
Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS(1)
SPLASH Companion 2019 - Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity(1)
Science of Computer Programming(1)
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Programación informática, programas, datos, seguridad(3)
Ciencias de la computación(2)
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scopus(4)
Analyzing the impact of CPU pinning and partial CPU loads on performance and energy efficiency
Conference ObjectAbstract: While workload collocation is a necessity to increase energy efficiency of contemporary multi-core hPalabras claves:Feedback load controller, KVM virtualization, Load throughput relation, LXC resource containers, Partial CPU load, performance interference, Reproducible load, workload colocationAutores:Binder W., Bulej L., Chen L.Y., Petr Tůma, Podzimek A.Fuentes:scopusIntroduction to dynamic program analysis with DiSL
ArticleAbstract: Dynamic program analysis (DPA) tools assist in many software engineering and development tasks, suchPalabras claves:Aspect-oriented programming, bytecode instrumentation, Domain-Specific Languages, Dynamic program analysis, Java virtual machineAutores:Ansaloni D., Binder W., Bulej L., Marek L., Petr Tůma, Sarimbekov A., Zheng Y.Fuentes:scopusShowstopper: The partial CPU load tool
Conference ObjectAbstract: Provisioning strategies relying on CPU load may be suboptimal for many applications, because the relPalabras claves:benchmarking tool, load generator, partial load, performance interference, workload colocationAutores:Binder W., Bulej L., Chen L.Y., Petr Tůma, Podzimek A.Fuentes:scopusRenaissance: A modern benchmark suite for parallel applications on the JVM
Conference ObjectAbstract: This paper describes Renaissance, a new benchmark suite that covers modern JVM concurrency and paralPalabras claves:Benchmarks, Big Data benchmarks, Concurrency, Functional programming benchmarks, JIT compilation, JVM, Object-oriented programming benchmarks, ParallelismAutores:Binder W., Bulej L., Duboscq G., Leopoldseder D., Petr Tůma, Prokopec A., Rosà A., Simon D., Studener M., Villazón A., Würthinger T., Zheng Y.Fuentes:scopus