This standard defines binary arithmetic and data formats optimized for machine learning domains. Compact binary floating-point interchange formats are specified, parameterized by bitwidth, precision, signedness, and domain. Operations including rounding with saturation modes and conversion between P3109 formats and IEEE Std 754™formats are defined. A consistent and flexible arithmetic framework is provided for machine learning systems in hardware and software implementations.
- Standard Committee
- C/MSC - Microprocessor Standards Committee
- Joint Sponsors
-
CASS/DSA-SC
- Status
- Active PAR
- PAR Approval
- 2023-02-15
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/MSC - Microprocessor Standards Committee
- Working Group
-
AFM - Arithmetic Formats for Machine Learning
- IEEE Program Manager
- Julia Saltzman
Contact Julia Saltzman - Working Group Chair
- Kiran Gunnam
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