Revision history [back]

Optimizing Code: Ensure that the code is written in such a way that it performs well on the machine. Remove any unnecessary loops, and reduce computation by using caching more effectively.

Utilizing Multi-threading: Running multiple threads simultaneously can divide the workload among the processors, which can increase efficiency.

Using Lower Level Language: Higher-level programming languages are easier to code, but lower-level programming languages like C++ are faster and perform closer to the hardware, resulting in quicker code execution.

Choosing the right algorithms: Finding the best algorithm for the job can help optimize the program's execution speed.

Minimizing Input - Output operations: Since I/O operations take longer than calculations, minimizing the number of I/O operations can drastically increase performance.

Proper Memory Management: Memory allocation and management can have a significant impact on the program's execution speed.

Profiling and measuring performance: Optimization is an iterative process, so using tools to monitor system performance and identify slow areas can help improve performance.