Active PAR

P3109

Standard for Arithmetic Formats for Machine Learning

This standard defines a binary arithmetic and data format for machine learning-optimized domains. It also specifies the default handling of exceptions occurring in this arithmetic. This standard provides a consistent and flexible arithmetic framework optimized for Machine Learning Systems (MLSs) in hardware and/or software implementations to minimize the work required to make MLSs interoperable with each other as well as other dependent systems. This standard is aligned with the IEEE Std 754-2019 Standard for Floating-Point Arithmetic.

Standards Committee
C/MSC - Microprocessor Standards Committee
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Joint Sponsors
C/AISC
Status
Active PAR
PAR Approval
2021-09-23

Working Group Details

Society
IEEE Computer Society
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Standards Committee
C/MSC - Microprocessor Standards Committee
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Working Group
AFM - Arithmetic Formats for Machine Learning
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IEEE Program Manager
Tom Thompson
Contact
Working Group Chair
Kiran Gunnam

Other Activities From This Working Group

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