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Tracking Native Memory used by Gurobi in Java

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  • Riley Clement
    Gurobi Staff Gurobi Staff

    Hi Daniel,

    I use psrecord when profiling memory with Gurobi through our Python API.

    According to ChatGPT you could also use it for Gurobi & Java API.  You would need to install it in a Python environment though and pass it the java command as an arguments.

    Yes, **`psrecord`** is a good choice for tracking memory usage, including native memory, while running a Java program that uses Gurobi. `psrecord` monitors and records the memory and CPU usage of a specific process over time. It works well for capturing the entire memory footprint, which includes both the Java heap and native memory allocated by the Gurobi solver.

    ### How to Use `psrecord`

    1. **Install psrecord**:
       You can install `psrecord` using `pip` if it's not already installed:
       ```bash
       pip install psrecord
       ```

    2. **Run psrecord**:
       Start your Java process and find its process ID (`PID`). Once you have the `PID`, use `psrecord` to track the memory and CPU usage. For example:
       ```bash
       psrecord <PID> --interval 1 --plot memory_cpu_usage.png --log memory_cpu_usage.txt
       ```

       This command will:
       - Record the memory and CPU usage of the process with the specified `PID`.
       - Take samples every second (`--interval 1`).
       - Save the results to a log file (`memory_cpu_usage.txt`) and generate a plot (`memory_cpu_usage.png`).

    3. **Monitor Both Heap and Native Memory**:
       `psrecord` captures the **resident set size (RSS)**, which is the portion of memory occupied by a process in RAM. This includes:
       - Java heap memory managed by the JVM.
       - Native memory allocations performed by the Gurobi C library.

       By analyzing the log file and generated plot, you can see how the memory usage evolves over time during the optimization process.

    ### Advantages of Using `psrecord`
    - **Easy setup**: No need for invasive instrumentation in your Java or Gurobi code.
    - **Comprehensive memory monitoring**: Tracks the entire process memory, including native allocations.
    - **CPU profiling**: Provides additional insight into CPU usage alongside memory data.

    This approach is especially useful when you want a high-level overview of memory usage without delving into deeper C/C++ integrations or setting up detailed memory profilers.

    It is a ChatGPT answer though so take it with a grain of salt.

    - Riley

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