Creating an Energy-Efficient Improved-Resolution Weather Model Using Inexact Computing
Abstract
Scientists and engineers constantly seek better accuracy and improved resolution from supercomputer simulations.Unfortunately, the high energy cost associated with running supercomputers has become a significant obstacle to attaining the sought-after resolution improvement. Since energy costs will continue to increase, improved resolution will require better, more energy-efficient computational methods.Our proposed technical approach for overcoming the energy-cost barrier is based on a field of study known as inexact computing. We acknowledge that increasing resolution by using less exact computation is counterintuitive. We have discovered, however, by dividing a computation in to a savings phase followed by an accuracy-improvement phase, we can indeed achieve greater accuracy/higher resolution in an energy-efficient manner.In this proposal, we will apply our techniques to the problem of -Numerical Weather Prediction-. Furthermore, the code vehicle we have chosen for our study is a productionquality weather model known as openIFS.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 04, 2017
- Source ID
- N000141712178
Entities
People
- Krishna Palem
Organizations
- Office of Naval Research
- Rice University
- United States Navy