SBIR-STTR Award

Ultra-large and low-cost Electrodynamic Modeling in Commercial Clouds
Award last edited on: 9/8/2023

Sponsored Program
STTR
Awarding Agency
NSF
Total Award Amount
$1,614,348
Award Phase
2
Solicitation Topic Code
PH
Principal Investigator
John Moore

Company Information

FlexCompute Inc

5141 Pepin Place
Madison, WI 53705
   (650) 799-8025
   support@flexcompute.com
   www.flexcompute.com

Research Institution

University of Wisconsin

Phase I

Contract Number: 1549673
Start Date: 1/1/2016    Completed: 12/31/2016
Phase I year
2016
Phase I Amount
$225,000
The broader impact/commercial potential of this Small Business Innovation Research Phase I project is to enable anyone with internet to access extremely powerful computing facilities to perform scientific computing. High performance computing is essential for computational prototyping in many areas of modern engineering, such as solar cells, automobiles, aerospace, and communication devices. However, significant barriers make it difficult for ordinary engineers to easily access powerful computing facilities. By leveraging the low-cost commercial cloud, the project will develop key technology that allow commercial clouds to perform extremely high performance scientific computing, thereby significantly reducing the cost and increasing the accessibility of high performance computing.This Small Business Innovation Research (SBIR) Phase I project will develop technologies that overcome key challenges in using commercial clouds for high performance computing. Unlike high performance computers, commercial clouds are not designed for scientific computing. They have high latency, intermitted availability, and heterogeneously distributed resources. These features make it difficult to conduct scientific computing. This project will develop new computing methods that fully take into account the heterogeneous nature of the commercial cloud. It enables anyone to access high performance scientific computing anywhere with an easy-to-use interface. Computing is provided as on-demand service. Engineers would not need to own any high performance computers and the computing resources are virtually unlimited.

Phase II

Contract Number: 1738397
Start Date: 9/1/2017    Completed: 2/29/2020
Phase II year
2017
(last award dollars: 2019)
Phase II Amount
$1,389,348

This Small Business Innovation Research (SBIR) Phase II project will develop novel algorithms for electrodynamic simulations in commercial clouds. Electrodynamic simulation is essential for computational prototyping in optical and radio-frequency devices. Current commercial solutions require significant upfront investment of both software and hardware. They also suffer from low productivity due to limited in-house computing resources. This project will develop a cloud-based simulation service which will provide on-demand, pay-per-use, virtually unlimited simulation capability without requiring users to purchase any hardware or software. This simulation technology will greatly improve productivity, reduce the barrier to entry, and minimize cost in the design of optical and radio-frequency applications. Moreover, it will serve multiple scientific and engineering disciplines and will facilitate the use of high-performance simulation in all phases of scientific discovery and engineering design. It will revolutionize large-scale scientific simulation and allow anyone with internet access to gain unprecedented simulation power. Ultimately, this technology will help accelerate research and development in the health, energy, and defense industries by offering intuitive, on-demand, and practically infinitely scalable scientific software to engineers and scientists at a price-point significantly lower than any other cloud computing service.There is currently no electromagnetic simulation software which performs efficiently in commercial clouds, because they were written under the assumption that the underlying computing platform is homogenous and has low inter-CPU communication time, i.e. low latency. Starting from the most fundamental level of space-time discretization, we will develop the first electrodynamic simulation software that is latency-tolerant and cloud-optimized. The work completed in Phase I developed several proof-of-concept cloud-based electrodynamic solvers and demonstrated that commercial cloud computing platform is a viable option for offering extremely low cost computing. The general solver to be developed in Phase II will serve a broad set of applications, and will be commercialized as the electromagnetic simulation service in the cloud, featuring a fully immersive web-based visualization interface.