1. Sonar Challenge Problem Updated May 23, 2001

2. System Overview Use existing MFP demo design –Insert adaptive front end (MSEDR) between incoming data stream and existing matched field design it will adapt the weights used in the existing k-  beamformer –Use the PE1 and PE2 subvoxel beamformers as-is as much as possible.

3. Challenge Overview Form covariance matrix at 3KHz rate –Requires 96GB/sec memory bandwidth !!!!!! Inversion of covariance matrix happens every 3-5 seconds –Don’t do inversion Determine K smallest eigenvalues –K << N, K ~= 10? –Use Lanczos’ method to find eigenvalues A subspace method which hopefully gives good approximation to R –Do this part on Pentium

4. Forming Covariance Matrix (R) Forming the covariance matrix (R) –16MB memory locations updated @ 3KHz rate Requires 96GB/sec memory bandwidth SV2 has 6GB/sec memory bandwidth –Solutions Downsample input data Multiple boards –8 SV2 boards can form R 10 PE’s per SV2 read/MAC/write is kernel (2 cycles) pack 2 data elements per memory location one SV2 can do 10 X 1 kernel per cycle = 1500M kernels/sec requirement is 4M kernels @ 3KHz rate = 12000M kernels/sec

5. Forming Covariance Matrix (continued) Bernecky has recently (since the Midway meeting) suggested a way of doing the R matrix computation in 50x50 chunks, and avoiding most off-chip memory accesses This is an interesting idea that may or may not work better than the previous slide’s approach. It will be investigated.

6. Rest of Algorithm Normalization may be required with this algorithm –to be determined by NUWC –prior work (2 years ago) showed normalization doubled computation required, may be the case here Other things may be need to be included depending on results of NUWC Matlab experiments

7. Statement of 1-Year Goals Do a lab demonstration of AMFP system –Use recorded data at NUWC –In the absence of a full-up lab demo, have enough of the pieces completed (sizing, design, simulation, or execution) to make a case for or against the approach.

8. Demonstration Architecture 5 SV2 boards –4 for creating/updating R (PE0 replacement) –1 for subvoxel interpolation (PE1 & PE2 replacement) External Pentium Requires ACS API + Myrinet

9. Tasks Determine whether subspace methods will work in this problem (NUWC) Determine time requirements for Lanczos method on a Pentium (Athanas) Determine effects of 2X downsampling on algorithm performance (NUWC) End-to-end MATLAB simulation (NUWC)

10. More Tasks MSEDR floating point requirements –Formats, rounding modes, etc. (VTech/BYU) Determine communications requirements/patterns (all) Create single board MSEDR FPGA design (BYU) Expand to 4 boards (VTech) Port 4K subvoxel beamformer design to SV2 (NUWC)

11. Yet More Tasks Integrate Lanzcos code (VTech) System integration/test (NUWC)

12. Schedule Determine whether subspace methods will work in this problem (NUWC) (2 months) Determine time requirements for Lanczos method on a Pentium (Athanas) (2 months) Determine effects of 2X downsampling on algorithm performance (NUWC) (3 months) End-to-end MATLAB simulation (NUWC) (3 months)

13. More Schedule MSEDR floating point requirements –Formats, rounding modes, etc. (VTech/BYU) (3 months) Determine communications requirements/patterns (all) (3 months) Virtex-II JHDL support (3 months) Create single board MSEDR FPGA design (BYU) (4 months) Expand to 4 boards (VTech) (10 months) Port 4K subvoxel beamformer design to SV2 (NUWC) (10 months)

14. Yet More Schedule Integrate Lanzcos code (VTech) (11 months) System integration/test (VTech/NUWC) (12 months)