Wednesday, April 5, 2023

Code-Tuning techniques

Code-Tuning techniques

Logic:

  • Simplifying the logic of the code means reducing the number of steps or instructions required to complete a task.
  • This can be achieved by eliminating redundant or unnecessary calculations, removing unnecessary code blocks, and minimizing conditional statements.
  • For example, instead of using multiple nested if-else statements, use switch statements where appropriate.
  • Efficient use of conditional statements and loops can improve code performance. Avoid using loops where they are not necessary, and use the appropriate loop type (for, while, do-while) for the task at hand.
  • Avoid nested loops when possible, as they can cause a significant performance hit.

Loops:

  • Reducing the number of iterations in loops can be achieved by using the break or continue statement when appropriate.
    • The break statement can be used to exit a loop when a certain condition is met.
    • The continue statement can be used to skip over a certain iteration.
  • Choosing the appropriate loop type is also important for performance. The for loop is typically used when the number of iterations is known in advance, while the while and do-while loops are used when the number of iterations is unknown.
  • Nested loops can be expensive in terms of performance. Avoid them when possible by using arrays or other data structures to store the required data.

Data Transformations:

  • Using data structures and algorithms that are optimized for the task at hand can significantly improve code performance.
    • For example, using a hash table instead of an array for certain tasks can greatly reduce the time required to access elements.
  • Unnecessary data conversions should be avoided. For example, converting between data types can be expensive in terms of performance. Always use the appropriate data type for the task at hand.
  • Using appropriate data types can also help minimize memory usage.
    • For example, using an int instead of a long when a smaller data type is sufficient can save memory and improve performance.

Expressions:

  • Complex expressions can be simplified to reduce the number of operations required.
    • For example, using a bitmask instead of the modulus operator to calculate remainders can be more efficient.
  • Bitwise and shift operations can also be used to improve performance in certain situations.
    • For example, using the bit shift operator to divide by a power of 2 can be faster than using the division operator.
  • Using the appropriate comparison operator can also improve performance.
    • For example, using the less than or equal to the operator instead of the greater than the operator can be faster in certain situations.

Routines:

  • Avoiding unnecessary calls to routines can improve code performance.
    • For example, if a function is only called once, it may be more efficient to inline the function code rather than calling the function.
  • Using inline functions can also improve performance in certain situations. Inline functions are typically used for small functions that are called frequently.
  • Choosing the appropriate routine type (function or procedure) is also important. Functions are used when a value is returned, while procedures are used when no value is returned.

Recoding in a Low-Level Language:

  • Using a low-level language like C or assembly for performance-critical sections of code can significantly improve performance. Low-level languages provide more direct access to hardware resources, allowing for more fine-grained control over the code.
  • Inline assembly can also be used in certain situations to improve performance. The inline assembly allows assembly code to be directly embedded in a high-level language program.
  • High-level constructs like objects or exceptions should be avoided in performance-critical code, as they can add significant overhead.


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