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Towards a Compiler for Reals
[article]
2016
arXiv
pre-print
Numerical software, common in scientific computing or embedded systems, inevitably uses an approximation of the real arithmetic in which most algorithms are designed. In many domains, roundoff errors are not the only source of inaccuracy and measurement and other input errors further increase the uncertainty of the computed results. Adequate tools are needed to help users select suitable approximations, especially for safety-critical applications. We present the source-to-source compiler Rosa
arXiv:1410.0198v3
fatcat:tuusqzdsurekzg5snpb2a5vftq