What is recorded here?
Explored block data representations and fine-scale shared exponents, then evaluated an open microscaling-format family with compact elements and shared scaling across training/inference benchmarks.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Two2023papers have22/32source-name positions; name variants are retained source-specifically, not identity-resolved. Early multi-level MX designs and later concrete32-element E8M0-scale formats are not silently identical. Quantization/transposition do not commute; vector operations, outputs and master updates remain wider precision. Reported results emulate formats, with distinct direct-cast/PTQ/fine-tuned/training settings; a sample conversion is not the only standards-compliant recipe.
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People and systems
Bita Rouhani; Ritchie Zhao; Venmugil Elango; Rasoul Shafipour; Mathew Hall; Maral Mesmakhosroshahi; Ankit More; Levi Melnick; Maximilian Golub; Girish Varatkar; Lei Shao; Gaurav Kolhe; Dimitry Melts; Jasmine Klar; Renee L'Heureux; Matt Perry; Doug Burger; Eric Chung; Zhaoxia Deng; Sam Naghshineh; Jongsoo Park; Maxim Naumov; Bita Darvish Rouhani; Alireza Khodamoradi; Summer Deng; Dhruv Choudhary; Marius Cornea; Eric Dellinger; Kristof Denolf; Stosic Dusan; Alexander Heinecke; Phil James-Roxby; Dharmesh Jani; Martin Langhammer; Ada Li; Andres Rodriguez; Michael Schulte; Michael Siu; Pradeep Dubey; Paulius Micikevicius; Colin Verilli; Ralph Wittig
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
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English catalogue narrative
Shared microexponents and microscaling formats for low-precision learning
Explored block data representations and fine-scale shared exponents, then evaluated an open microscaling-format family with compact elements and shared scaling across training/inference benchmarks.
Scientific scope
Two2023papers have22/32source-name positions; name variants are retained source-specifically, not identity-resolved. Early multi-level MX designs and later concrete32-element E8M0-scale formats are not silently identical. Quantization/transposition do not commute; vector operations, outputs and master updates remain wider precision. Reported results emulate formats, with distinct direct-cast/PTQ/fine-tuned/training settings; a sample conversion is not the only standards-compliant recipe.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Bita Rouhani; Ritchie Zhao; Venmugil Elango; Rasoul Shafipour; Mathew Hall; Maral Mesmakhosroshahi; Ankit More; Levi Melnick; Maximilian Golub; Girish Varatkar; Lei Shao; Gaurav Kolhe; Dimitry Melts; Jasmine Klar; Renee L'Heureux; Matt Perry; Doug Burger; Eric Chung; Zhaoxia Deng; Sam Naghshineh; Jongsoo Park; Maxim Naumov; Bita Darvish Rouhani; Alireza Khodamoradi; Summer Deng; Dhruv Choudhary; Marius Cornea; Eric Dellinger; Kristof Denolf; Stosic Dusan; Alexander Heinecke; Phil James-Roxby; Dharmesh Jani; Martin Langhammer; Ada Li; Andres Rodriguez; Michael Schulte; Michael Siu; Pradeep Dubey; Paulius Micikevicius; Colin Verilli; Ralph Wittig
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.