AI RESEARCH

Novel Aspects of IEEE SA P3109 Arithmetic Formats for Machine Learning

arXiv CS.LG

ArXi:2606.04028v1 Announce Type: new The IEEE P3109 draft standard defines a parameterized family of binary floating-point formats and associated operations, with a focus on facilitating machine learning. These formats allow efficient and consistent representation of values in a small number of bits. The defined formats are parameterized over width and precision in bits, signedness, and the presence of infinities. Operations are defined by decoding floating-point values to the set of closed extended reals: the reals augmented with positive and negative infinity and NaN (Not a Number.