JIT compilation

jit compilation

JIT compilation

What is JIT Compilation

At Startup House, we understand the importance of efficient software development and optimization. One key aspect that plays a crucial role in improving the performance of software applications is Just-In-Time (JIT) compilation. In this section, we will delve into the concept of JIT compilation, its background, key principles, and components.


JIT compilation, also known as dynamic compilation, is a technique used by modern programming languages and virtual machines to improve the execution speed of programs. It was first introduced in the 1960s but gained significant popularity in the 1990s with the emergence of Java and the Java Virtual Machine (JVM).

The traditional approach to compiling code involves a two-step process: translating the source code into machine code during the compilation phase and executing the resulting machine code directly. However, this approach has certain drawbacks, such as longer compilation times and limited optimization opportunities.

JIT compilation, on the other hand, combines the benefits of both interpretation and static compilation. It dynamically compiles parts of the code at runtime, just before they are executed, allowing for more efficient optimization and faster execution.

Key Principles

JIT compilation operates on the principle of selectively compiling frequently executed code segments, known as hot spots. By identifying these hot spots, the JIT compiler can prioritize its efforts and optimize the performance of the application.

One of the key principles of JIT compilation is to adapt to the runtime environment and the characteristics of the target hardware. This adaptability allows the compiler to make informed decisions about which optimizations to apply, taking into account factors such as processor architecture, memory hierarchy, and available resources.

Another important principle is the ability to profile the code during runtime. Profiling involves gathering information about the program's behavior, such as the frequency of method invocations and the types of objects being used. This information is then used by the JIT compiler to make intelligent decisions about optimization strategies.


The JIT compilation process consists of several key components:

  • Interpreter: The interpreter is responsible for executing the bytecode or intermediate representation of the program. It identifies hot spots and triggers the JIT compiler when necessary.

  • JIT Compiler: The JIT compiler is the heart of the JIT compilation process. It takes the bytecode or intermediate representation of the hot spots identified by the interpreter and translates them into optimized machine code.

  • Code Cache: The code cache is a dedicated area in memory where the compiled machine code is stored. This allows for quick access and reuse of the compiled code, reducing the need for repeated compilation.

  • Profiling Tools: Profiling tools gather runtime information about the program's execution, such as method call frequencies and memory usage. This information is used by the JIT compiler to guide its optimization decisions.

  • Deoptimization Mechanism: In some cases, the assumptions made by the JIT compiler during optimization may become invalid. The deoptimization mechanism allows the program to gracefully revert to the interpreter and recompile the affected code if necessary.

Overall, JIT compilation plays a vital role in improving the performance of software applications. By dynamically compiling hot spots at runtime and optimizing them based on runtime information, JIT compilation enables faster execution and more efficient resource utilization. At Startup House, we leverage JIT compilation techniques to deliver high-performance software solutions to our clients.

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