Advanced Signal Processing Computational Hardware
Abstract
Funds are provided to procure a high-performance computer system to develop and test adaptive signal processing solutions for very large acoustic arrays. Applied Research Laboratories, The University of Texas at Austin (ARL:UT) proposes to procure a high performance computer system based on computational accelerator architectures in order to explore adaptive signal processing solutions for very large acoustic arrays. Both a multi-core, multi-CPU capability, along with the graphics processing units (GPU) cluster, is planned to address significant computational studies. Future sonar arrays planned for the submarine fleet will have large bandwidths and large element counts, and will likely require adaptive processing in order to realize their full acoustic performance. The proposed processing system will enable algorithm development and proof-ofconcept processing for space constrained applications, such as those on US submarines. Array signal processing specification, and simulation of array processing, both of which are critical for CONOPS development prior to actual array deployment, will be significantly enhanced as a result of development on the proposed system. In addition, the hardware can be used to address surveillance processing concepts. In this case numerous arrays with significant automation are anticipated. Future processing will include more automation in order to reduce operator workload and keep operator staffing at current (or reduced) levels. Should the GPU driven architecture increase the computational capabilities, without significant footprint growth, it would save the Navy significant infrastructure costs. Furthermore, if reduction of the overall data storage and database requirements of future IUSS surveillance processing systems is possible with such hardware, the accelerator based system may be more responsive and reliable.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 23, 2016
- Source ID
- N000141612776
Entities
People
- Richard Gramann
Organizations
- Office of Naval Research
- United States Navy
- University of Texas at Austin