Beating floating point at its own game: Posit arithmetic

• Main Authors: Gustafson, J.L, Yonemoto, I
• Other Authors: DEPARTMENT OF COMPUTER SCIENCE
• Format: Article
• Published: Publishing center of the South Ural State University 2020
• Subjects: Computer hardware; Deep learning; Energy efficiency; Hardware; IEEE Standards; Linear algebra; Neural networks; Nitrogen compounds; Sodium compounds; Computer arithmetic; Energy efficient computing; Floating points; Linpack; Posits; Unum computing; Digital arithmetic
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/183865
• Institution: National University of Singapore

10.14529/jsfi170206