👉 Execution computing, also known as compute-on-demand or just-in-time (JIT) compilation, is a method of optimizing program performance by dynamically translating or compiling code into machine instructions at runtime, rather than before execution. This approach allows the system to adapt to varying workloads and optimize code for specific hardware, leading to improved efficiency and performance. In execution computing, an interpreter or virtual machine continuously analyzes the code as it runs, identifying opportunities for optimization and applying them on-the-fly. This contrasts with traditional ahead-of-time (AOT) compilation, where the entire program is compiled into machine code before execution. Execution computing can significantly enhance performance by tailoring the generated code to the current context and hardware capabilities, making it particularly useful in environments where workloads are unpredictable or diverse.
