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Analysis of floating point operations in microcontrollers

Authors: Aswin Ramakrishnan; James M. Conrad;

Analysis of floating point operations in microcontrollers

Abstract

The purpose of this paper is to identify the advantages of including a floating point hardware / a mathematical co-processor in microcontrollers used for critical floating point operations. Three different microcontrollers are considered: Renesas M16C/62P (CISC without FPU), ATMEGA1280 (RISC without MCU) and Renesas RX62N (CISC with FPU). Gauss-Seidel and Jacobi iterations for a system of 2 and 3 variables using single precision and double precision floating point numbers are implemented. The time taken by each microcontroller is measured using the Timer in the microcontrollers. Based on the time taken, the advantages of the inclusion of the floating point unit are attributed against the cost incurred by the hardware.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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