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Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 11: Floating Point Considerations

By Wen-Mei W Hwu

University of Illinois at Urbana-Champaign

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Abstract

Floating Point Considerations

Topics:

  • GPU Floating Point Features
  • Normalized Representation
  • Exponent Representation
  • Representable Numbers
  • Flush to Zero
  • Denormaliztion
  • Runtime Math library
  • Make Your Programs Float Safe!

Credits These lecture were breezed by Carl Pearson and Daniel Borup and then reviewed, edited ,and Uploaded by Omar Sobh.
Sponsored by NCN@illinois
Cite this work

Researchers should cite this work as follows:

  • Wen-Mei W Hwu (2009), "Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 11: Floating Point Considerations," http://nanohub.org/resources/7338.
Tags
  1. CUDA 1
  2. Floating Point 1
  3. GPU 1
  4. Illinois 1

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