Reducing the Memory Footprint of Your Powertrain System
Using a Powertrain system example, this video demonstrates the lookup table optimization capability that enables you to compress the lookup tables in your design to reduce the RAM memory usage. You can approximate a function or an existing block with an optimal lookup table.
Designing an optimal lookup table involves various choices: fixed-point or floating-point data, size of the table, evenly spaced data or uneven spacing, and other algorithm settings such as the interpolation method. All these decisions are automated using the lookup table optimizer.
We explore the tradeoff between system behavior and efficient design as measured by the amount of memory reduced.
Other Resources
Download code: http://bit.ly/2WotHvY
Lookup Table Optimization demo: http://bit.ly/2Wk3nD7
Function Approximation with an Optimal Lookup Table: http://bit.ly/2WhMuJ7
Compression Ignition controller model from Powertrain Blockset: http://bit.ly/2WwOL8j
Designing an optimal lookup table involves various choices: fixed-point or floating-point data, size of the table, evenly spaced data or uneven spacing, and other algorithm settings such as the interpolation method. All these decisions are automated using the lookup table optimizer.
We explore the tradeoff between system behavior and efficient design as measured by the amount of memory reduced.
Other Resources
Download code: http://bit.ly/2WotHvY
Lookup Table Optimization demo: http://bit.ly/2Wk3nD7
Function Approximation with an Optimal Lookup Table: http://bit.ly/2WhMuJ7
Compression Ignition controller model from Powertrain Blockset: http://bit.ly/2WwOL8j
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