Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
184 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations (1911.10344v1)

Published 23 Nov 2019 in cs.DC

Abstract: Numerical simulations on mobile devices are an important tool for engineers and decision makers in the field. However, providing simulation results on mobile devices is challenging due to the complexity of the simulation, requiring remote server resources and distributed mobile computation. The additional large size of multi-dimensional simulation results leads to the insufficient performance of existing approaches, especially when the bandwidth of wireless communication is scarce. In this article, we present an optimized novel approach utilizing surrogate models and data assimilation techniques to reduce the communication overhead. Evaluations show that our approach is up to $6.5$ times faster than streaming results from the server while still meeting required quality constraints.

Summary

We haven't generated a summary for this paper yet.