Session

DescriptionThis minisymposium will address the state of the computer arithmetic algorithmic technique that
allows to simulate accurate floating-point computations by using low-precision floating-point or
integer operations. The progress of this research area is important to hardware manufacturers
because it allows high-performance computers to reduce the number of complex high-precision
floating-point units on the chip and increase the number of low-precision floating-point units which
are especially useful for machine learning; since efficient algorithms are available to simulate high-
precision computations, traditional applications not tolerant of errors associated with low precision
do not suffer. These techniques are increasingly researched internationally, and this minisymposium includes four speakers from UK, Japan, and US.