
The use of floating-point computations for the implementation of critical systems is perceived as increasingly acceptable. Even in modern avionics, one of the most critical domains for software, floating-point numbers are now used, more often than not, instead of fixed-point arithmetic. However, designing and testing floating-point algorithms is significantly more difficult than designing and testing integer algorithms. In this second webinar on the subject, we will present algorithms where things may go wrong because the peculiarities of floating-point numbers were not taken into account in the design. For each such algorithm, we will illustrate how to improve the situation. The "Floating-Point Computation Traps & Pitfalls: Part 1" webinar is a prerequisite for this follow-up webinar.
ROBERTO BAGNARA , PhD
CTO, Bugseng, Prof. University of Parma, Italy
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