October 19, 2016
2:00 pm - 5:30 pm
Hall C

Track: General
Type: Posters
Level: All

Scientists often rely on analytical modeling for predicting performance where users develop a performance model, evaluate and analyze the model manually. But, such manual investigations prove laborious and error prone. To solve this, we present a system level energy estimation modeling using Aspen DSL.We show results for FFT, Molecular Dynamics and Matrix multiply and tested for exa-scale system.

Speaker(s)