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Sparse Matrix Computations on Parallel Processor Arrays
SIAM Journal on Scientific Computing, 1993This paper deals with the balancing of distributed compressed storage of large sparse matrices on a massively parallel computer. The authors say that an assignment of matrix elements to the processor array preserves the integrity of the matrix if for every row(column) all its nonzero elements are placed into processors lying in a single row(column) of ...
Andrew T. Ogielski, William Aiello
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Sparse and irregular sampling in array processing
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002Rule-based thinning and element placement methods are first discussed. This includes random arrays, binned random arrays, periodic thinning, element shadowing properties, and fractal arrays. The algorithmic optimization of layouts of 1-D and 2-D sparse arrays is presented and it is empirically derived that the peak sidelobe level for an array with K ...
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2012 International Conference on Signal Processing and Communications (SPCOM), 2012
Nested and coprime arrays are sparse arrays which can identify O(m2) sources using only m sensors. Systematic algorithms have recently been developed for such identification. These algorithms are traditionally implemented by performing MUSIC or a similar algorithm in the difference-coarray domain.
Vaidyanathan, P. P., Pal, Piya
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Nested and coprime arrays are sparse arrays which can identify O(m2) sources using only m sensors. Systematic algorithms have recently been developed for such identification. These algorithms are traditionally implemented by performing MUSIC or a similar algorithm in the difference-coarray domain.
Vaidyanathan, P. P., Pal, Piya
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2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023
Kretika Goel +2 more
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Kretika Goel +2 more
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Sparse Cylindrical Sonar Arrays
IEEE Journal of Oceanic Engineering, 2008Sparse arrays offer a means for reducing the cost and complexity of beamforming systems. Most of the work in the literature has focused on sparse linear arrays with isotropic transducer elements, which simplifies analysis greatly. In this paper, we will focus on multibeam cylindrical arrays using highly directive elements for use in fishery ...
J.E. Kirkebo, A. Austeng
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APPLICATION OF ARRAY PROCESSOR TO SPARSE ELIMINATION
Proceedings of SPE Reservoir Simulation Symposium, 1979Abstract The Floating Point Systems array processor AP120B can be used to efficiently solve large systems of linear equations by a sparse Gaussian elimination technique. Bench mark tests show the following results: For LU factorization, the AP120B requires 22 to 35% less CPU time than the IBM 370/168; for forward or
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Accessing Sparse Arrays in Parallel Memories
1983The concept of dense and sparse execution of arrays is introduced. Arrays, themselves, can be stored in a dense or sparse manner in a parallel memory with m memory modules. Hardware is proposed for speeding up the execution of array operations of the form C(c//0 plus cI) implied by A(a//0 plus al) OP B(b//0 plus bI), where a//0, a, b//0, b, c//0, c are
Banerjee, U., Gajski, D., Kuck, D.
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Design, Implementation, and Medical Applications of 2-D Ultrasound Sparse Arrays
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022Alessandro Ramalli +2 more
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On the design of linear sparse arrays with beampattern shift invariant properties
Signal Processing, 2022Ronghao Lin, Jian Li
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Design of 2D Planar Sparse Binned Arrays Based on the Coarray Analysis
Sensors, 2021OSCAR MartÃnez-Graullera +2 more
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