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The proposed approach does not depend the complex matrix inverse calculation but simply applies a basic vector computation (inner product), which further reduces the computational complexity.
The memory-bound interaction vector computation, accounting for almost two thirds of the compute time, features pre-allocation and a specific data ordering to reduce the costs of memory access.
The RBF system is operated under low computational complexity at the BS stage because there is no need for vector computation in the user selection procedure and pre-coding operation at the beamformer, unlike in SUS-ee.
Detection vector computation referred by P in (5) 2.
This is due to the vector computation feature that was built in the function.
However, due to the time-consuming eigenvector/singular vector computation in this algorithm, it is not scalable to the case when the number of communities is large.
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Every cell is involved in at most two vector computations, where the difference to its neighbor is computed once for the row and for the column vector.
At the cost of averaging out local interactions of the network, we can achieve the network-wide balance between egoism and altruism for cooperative beamforming vector computations.
To mitigate these problems, we propose optimized SIMD engines that have the capabilities for combining VLIW or TTA processing with a unified scalar and long vector computations as well as efficient SIMD hardware for real computation.
The linearization of the problem at every time step value can be performed using a quasi-Newton method that allows to decouple fluid velocity and director vector computations for every tangent problem.
This approach does not suffer from approximation errors, reuses the parallelism and data distribution already present in the right-hand side vector computations, and avoids storing or operating on the entire Jacobian matrix.
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