Cargando…
Benchmark of Deep Learning models
In the field of high-energy physics, software performance is critical due to the high CPU and I/O costs of processing and analyzing billions of events. Running benchmarks is therefore essential as it provides consistent performance metrics that can be tracked over time. Aim of this project was to de...
Autor principal: | Terko, Afan |
---|---|
Lenguaje: | eng |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2779288 |
Ejemplares similares
-
Learning commons benchmarks
por: Primary Research Group
Publicado: (2015) -
Deep learning in TMVA Benchmarking Benchmarking TMVA DNN Integration of a Deep Autoencoder
por: Huwiler, Marc
Publicado: (2017) -
Benchmarking computers for HEP
por: McIntosh, E
Publicado: (1993) -
Benchmark suite #1
por: Programmable electronics performance. Los Gatos
Publicado: (1993) -
Integrating and benchmarking with rootreadspeed
por: Poulton, David Kyle
Publicado: (2022)