"Gustafson told us that a 32-bit posit can replace a 64-bit float in almost all cases"... "he thinks posit-based arithmetic would deliver a two-fold to four-fold speedup compared to IEEE floats."
** WT#! Please, somebody tell Redhat and Canonical not to drop the 32-bit support yet :-P **
"Perhaps the largest opportunity for posits is in machine learning, where 16-bits can be used for training and 8-bits for inference."
** AI with a pocket calculator?? **
Matias
------------------------------------
PhD.
Researcher at Biomolecular Simulations Lab.
Institut Pasteur de Montevideo | Uruguay
[
http://pasteur.uy/en/labs/biomolecular-simulations-laboratory]
[
http://www.sirahff.com]
----- Mensaje original -----
De: "Bill Ross" <ross.cgl.ucsf.edu>
Para: "AMBER Mailing List" <amber.ambermd.org>
Enviados: Jueves, 18 de Julio 2019 0:29:52
Asunto: [AMBER] Posits preparing to pounce on Floating Point
Another important advantage to the format is that unlike
conventional floats, posits produce the same bit-wise results on any
system, which is something that cannot be guaranteed with the IEEE
standard (even the same computation on the same system can product
different results for floats). It also does away with rounding
errors, overflow and underflow exceptions, subnormal (denormalized)
numbers, and the plethora of not-a-number (NaN) values.
Additionally, posits avoids the weirdness of 0 and -0 as two
distinct values. Instead it uses an integer-like twos complement
form to encapsulate the sign, which means that simple bit-wise
comparisons are valid.
https://www.nextplatform.com/2019/07/08/new-approach-could-sink-floating-point-computation/
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Received on Fri Jul 19 2019 - 10:30:03 PDT
