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Optimization in computer science refers to the process of modifying a software system to make it more efficient or use fewer resources. This can involve improving the speed of execution, reducing memory usage, or minimizing power consumption1. The goal is to enhance the performance of a program with respect to a specific quality metric, often leading to trade-offs where improving one aspect may come at the expense of another2.
Levels of Optimization
Optimization can occur at various levels, each with its own impact and complexity:
Design Level: At the highest level, the design of a system can be optimized to make the best use of available resources. This involves architectural decisions, such as minimizing network latency or choosing the right platform and programming language1.
Algorithm and Data Structure Level: The choice of algorithms and data structures significantly affects efficiency. Efficient algorithms and data structures can reduce the time and space complexity of a program2. For example, using a logarithmic algorithm instead of a quadratic one can greatly improve performance.
Source Code Level: Concrete choices at the source code level can also impact performance. For instance, using a for loop instead of a while loop for unconditional loops can be more efficient1. Modern compilers can perform many of these optimizations automatically.
Build Level: Between the source and compile levels, build-level optimizations involve tuning performance options in the source code and compiler. This can include using preprocessor directives to disable unneeded features or optimizing for specific hardware capabilities2.
Compile Level: Using an optimizing compiler ensures that the executable program is optimized as much as possible. Compilers can perform various optimizations, such as loop unrolling and inlining functions1.
Assembly Level: Writing code in assembly language for specific hardware can produce the most efficient and compact code. However, this is rarely done for entire programs due to the time and cost involved1.
Run Time: Just-in-time compilers and adaptive optimization techniques can produce customized machine code based on run-time data, further enhancing performance1.
Deep Dive Into Optimization | Baeldung on Computer Science
See more on baeldung.comIn this tutorial, we’ll start with the general definition of optimization. Then, we’ll narrow it down to subject programming optimization. It is one of the essential concepts in computing science. It wouldn’t be exaggerating to say that without optimization, computing science wouldn’t come so far today.- Published: Aug 25, 2022
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