Fpga implementation of Floating-Point Arithmetic
Ajay Pratap Singh Rathor, Lalit Bandil
Abstract
Ajay Pratap Singh Rathor, Lalit Bandil
Abstract
Floating point arithmetic fpga implementation described various arithmetic operations like addition, subtraction, multiplication, division. Floating point fpga arithmetic unit are useful for single precision and double precision and quad precision .This precision specify various bit of operation. In science computation this circuit is useful. A general purpose arithmetic unit require for all operations. In this paper single precision floating point arithmetic calculation is described. This paper includes single precision, double precision and quad precision floating point format representation and provide implementation technique of various arithmetic calculation. Double precision and quad precision format specify more bit operation. Low precision custom format is useful for reduce the associated circuit costs and increasing their speed. Fpga implementation of Floating point arithmetic calculation provide various step which are require for calculation. Normalization and alignment are useful for operation and floating point number should be normalized before any calculation. I consider the implementation of 64/ 128-bit precision circuits.
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Floating point arithmetic fpga implementation described various arithmetic operations like addition, subtraction, multiplication, division. Floating point fpga arithmetic unit are useful for single precision and double precision and quad precision .This precision specify various bit of operation. In science computation this circuit is useful. A general purpose arithmetic unit require for all operations. In this paper single precision floating point arithmetic calculation is described. This paper includes single precision, double precision and quad precision floating point format representation and provide implementation technique of various arithmetic calculation. Double precision and quad precision format specify more bit operation. Low precision custom format is useful for reduce the associated circuit costs and increasing their speed. Fpga implementation of Floating point arithmetic calculation provide various step which are require for calculation. Normalization and alignment are useful for operation and floating point number should be normalized before any calculation. I consider the implementation of 64/ 128-bit precision circuits.
Key concepts: Single-precision floating-point format, Double-precision floating-point format, Arbitrary-precision arithmetic, Floating point, Computer science, Saturation arithmetic, Floating-point unit, Arithmetic