You are here

Hybrid Analog-Digital Co-Processor for Scientific Computation

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: D16PC00089
Agency Tracking Number: D15C-002-0006
Amount: $149,918.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: ST15C-002
Solicitation Number: 2015.0
Timeline
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-05-04
Award End Date (Contract End Date): 2017-02-17
Small Business Information
519 W 121st St., New York, NY, 10027
DUNS: 080008265
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Yipeng Huang
 (248) 505-0347
 yipenghuang0302@gmail.com
Business Contact
 Mr. Yipeng Huang
Phone: (248) 505-0347
Email: yipenghuang0302@gmail.com
Research Institution
 Columbia University
 Kyle Mandli
 510 Mudd, MC 4714 500 West 120th Street
\N
New York, NY, 10027
 (212) 854-4485
 Nonprofit college or university
Abstract
We propose to use a hybrid analog-digital electronic computer to solve partial differential equations (PDEs) arising in scientific simulations and high performance computing (HPC). The simulation of PDEs has extensive applications in commerce, research, and defense. Analog computation potentially decreases the time and energy needed to reach a solution by providing an ability to carry out iterative numerical methods in parallel, and with an infinitesimal time step. Specifically, we investigate the scalability of using analog techniques to accelerate solving elliptic PDEs using multigrid algorithms defined on structured grids. This proposal will evaluate whether speeding up the solution of elliptic PDEs and other numerical kernels would significantly improve overall HPC application speed and efficiency. Any proven improvement in computing hardware and software for these problems, in terms of solution time, energy needed to reach a solution, reliability of obtaining a solution, or generality of the problems that can be solved, would have widespread benefits in understanding of systems modeled using PDEs.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government