Basic HTML version of Foils prepared October 2 1998

Foil 18 Other Floating Point Issues

From Java Grande (a.k.a. Java for High Performance Computing) in a Nutshell Sun MicroSystems Java Day at MIT (Marriot Hotel Cambridge MA) -- Sept 25 1998. by Geoffrey C. Fox


1 s = s + a(i)*b(i) on x86 requires that one stores and restores both a(i)*b(i) and s to memory after arithmetic. There is clever way of using exception trap to speed up.
2 Indigenous type would specify most precise floating point representation allowed by hardware
3 anonymous double would imply all intermediate results implemented using double precision (original C standard)
4 anonymous indigenous would instruct compiler to use extended double precision on x86 chips for all computations -- whatever type of variable

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