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- W3037228110 abstract "A program in a dataflow architecture is represented as a dataflow graph. The dataflow nodes in the graph represent operations to be executed on data. The edges represent a data value being transformed by a dataflow node. Such an architecture can allow exploitation of parallelism, code sharing, and out-of-order execution. The dataflow nodes include operations from a small set of operators: logical operations, switching, addition/subtraction, and multiplication. There is no arithmetic logic unit nor a floating-point unit. As a result, elementary operations for integer, and in particular floating-point, arithmetic are emulated in software. Therefore, when a more advanced functionality such as trigonometric functions is required, we find that the commonly used implementations are inefficient. The inefficiency results in an over-increased dataflow graph that directly translates to wasted area on the silicon, resulting in increased power consumption and lower throughput. Volder proposed the CORDIC algorithm for trigonometric functions, expressed in terms of basic rotations. In this work, we present a correctly-rounded and efficient implementation of the CORDIC algorithm for the dataflow architecture." @default.
- W3037228110 created "2020-07-02" @default.
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- W3037228110 date "2020-01-01" @default.
- W3037228110 modified "2023-09-27" @default.
- W3037228110 title "Efficient CORDIC-Based Sine and Cosine Implementation for a Dataflow Architecture" @default.
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- W3037228110 doi "https://doi.org/10.1007/978-3-030-49785-9_9" @default.
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