Speeding Up Algorithms: When Parallel Computing and GPUs do and don't accelerate

Version 1.1.0.0 (878 KB) by Michael Weidman
Files and slides from the presentation of the same name.
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Updated 25 Sep 2013

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This archive contains all of the files for the webinar "Speeding Up Algorithms: When Parallel Computing and GPUs do and don't accelerate" delivered at the 2013 MathWorks Finance Virtual Conference.

It consists of three main components:

1. "Speeding Up Algorithms.pdf": the slide deck
2. "MVAR": The folder containing the Marginal Value at Risk demo. The script file "MVAR_demo.m" can be run in cell mode; it refers to the other functions.
3. "Variable_Annuity": The folder containing the variable annuity demo. The script file "GMWBscript.m" can be run in cell mode; it refers to the other functions.

For more discussions, go to our website at www.quantsupport.com/qss-blog.html

Cite As

Michael Weidman (2026). Speeding Up Algorithms: When Parallel Computing and GPUs do and don't accelerate (https://uk.mathworks.com/matlabcentral/fileexchange/43577-speeding-up-algorithms-when-parallel-computing-and-gpus-do-and-don-t-accelerate), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
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Acknowledgements

Inspired by: Modeling Variable Annuities with MATLAB

MVAR/

Variable_Annuity/

Version Published Release Notes
1.1.0.0

Updated the Description text
1.0.0.0