Load-sharing in heterogeneous systems via weighted factoring
Proceedings of the eighth annual ACM symposium on Parallel algorithms and architectures
Design and Performance Evaluation of a Portable Parallel Library for Space-Time Adaptive Processing
IEEE Transactions on Parallel and Distributed Systems
Issues in using heterogeneous HPC systems for embedded real time signal processing applications
RTCSA '95 Proceedings of the 2nd International Workshop on Real-Time Computing Systems and Applications
Performance Evaluation of a Parallel Pipeline Computational Model for Space-Time Adaptive Processing
The Journal of Supercomputing
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We examine the signal processing problem of space-time adaptive processing (STAP) from a computational point of view. Specifically, we implement an STAP algorithm on the IBM PowerParallel SP1 computer. The two main challenges are solving multiple least squares problems simultaneously and finding an efficient way of implementing multiple computational steps that demand different optimal data distributions in parallel. The effectiveness of our implementation is demonstrated with experimental results.