Performance and Memory
Write your code to be simple and readable, especially for the first implementation. Code that is prematurely optimized can be unnecessarily complex without providing a significant gain in performance. Then, if speed is an issue, you can measure how long your code takes to run and profile your code to identify bottlenecks. If necessary, you can take steps to improve performance.
MATLAB® handles data storage for you automatically. However, if memory is an issue, you can identify memory requirements and apply techniques to use memory more efficiently.
Apps
| Profiler | Run code and measure execution time to improve performance |
Functions
Topics
Measure and Profile Code
- Measure the Performance of Your Code
Use thetimeitfunction or the stopwatch timer functions,ticandtoc, to time how long your code takes to run. - Profile Your Code to Improve Performance
Use the Profiler to measure the time it takes to run your code and identify which lines of code consume the most time or which lines do not run. - Measure Code Complexity Using Cyclomatic Complexity
Quantify code complexity based on cyclomatic complexity.
Improve Performance
- Techniques to Improve Performance
To speed up the performance of your code, there are several techniques that you can consider.
Identify and Reduce Memory Requirements
- How MATLAB Allocates Memory
Write more memory-efficient code by understanding how MATLAB allocates memory. - Strategies for Efficient Use of Memory
Reduce memory usage in your programs, use appropriate data storage, avoid fragmenting memory, and reclaim used memory. - Avoid Unnecessary Copies of Data
MATLAB can apply memory optimizations when passing function inputs by value. - Resolve “Out of Memory” Errors
Troubleshoot errors when MATLAB cannot allocate the requested memory.
