IEEE Transactions on Computers · 2010 · 16 citations · 7 references
ComputingComputer EngineeringComputer ScienceAlgebraParallel AlgorithmsParallel ComputingCircuit ComplexityComputational ComplexityData ParallelismMatrix ComputationSpace ComplexityArithmetic Of Finite FieldsFinite Field ArithmeticLinear ComplexityMatrix FormulationMatrix MultiplicationMultiplier DesignSpace Complexity AnalysisVector Formulation
We study Dickson bases for binary field representation. Such a representation seems interesting when no optimal normal basis exists for the field. We express the product of two field elements as Toeplitz or Hankel matrix-vector products. This provides a parallel multiplier which is subquadratic in space and logarithmic in time. Using the matrix-vector formulation of the field multiplication, we also present sequential multiplier structures with linear space complexity.
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