Next Generation Arithmetic  5th International Conference, CoNGA 2024, Sydney, NSW, Australia, February 20–21, 2024, Proceedings /  [electronic resource] : 
edited by Marek Michalewicz, John Gustafson, Himeshi De Silva. 
 - 1st ed. 2024. 
 - IX, 125 p. 46 illus., 34 illus. in color.  online resource. 
 - Lecture Notes in Computer Science,  14666  1611-3349 ; .
 - Lecture Notes in Computer Science,  14666 .
<br/><br/>Papers -- Beating Posits at Their Own Game Takum Arithmetic -- Breaking New Ground in AI with Posit Arithmetic and Vision Transformer -- Iterative Refinement with Mixed Precision Posit Arithmetic -- Adaptive Interval Segmentation An Algorithmic Approach for Optimal SORN Datatypes -- Unleashing Simple Pendulum Dynamics with Posit Arithmetic. 
<br/><br/> This book constitutes the refereed post-conference proceedings of the 5th International Conference for Next Generation Arithmetic, CoNGA 2024, held in Sydney, NSW, Australia, during February 20–21, 2024. The 5 revised full papers presented were carefully selected from 9 submissions. CoNGA is the leading conference on emerging technologies for computer arithmetic. The demands of both AI and HPC have led the community to realize that something better than traditional floating-point arithmetic is needed to reach the speed, accuracy, and energy-efficiency that are needed for today's most challenging workloads. In particular, posit arithmetic is achieving rapid adoption as a non-proprietary format, but CoNGA welcomes papers about any arithmetic format that breaks from the past and shows merit and promise. 
<br/><br/><label>ISBN: </label>9783031727092 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-72709-2  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/><br/>
<br/><br/><label>LC Class. No.: </label>QA76.9.C62