jvmrs 0.1.2

A JVM implementation in Rust with Cranelift JIT, AOT compilation, and WebAssembly support
Documentation
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# No-Support for Embedded/IoT Scenarios

JVMRS provides support for building without the standard library (`no_std`) for embedded systems and IoT devices.

## Overview

The `no_std` feature enables JVMRS to run in environments without the Rust standard library:
- Microcontrollers (ARM Cortex-M, RISC-V)
- Embedded Linux with minimal dependencies
- WASI (WebAssembly System Interface) targets
- Custom operating systems

## Feature Flags

Enable `no_std` in `Cargo.toml`:

```toml
[dependencies]
jvmrs = { path = ".", features = ["no_std"] }

# Or disable default features
jvmrs = { path = ".", default-features = false, features = ["no_std"] }
```

## Configuration

### Memory Configuration

For embedded systems, configure memory limits:

```rust
use jvmrs::memory::{Memory, HeapConfig};
use jvmrs::gc::{GCConfig, GenerationalGC};

let heap_config = HeapConfig {
    max_heap_size: 1024 * 1024,  // 1MB for embedded
    initial_heap_size: 64 * 1024, // 64KB initial
    enable_arena_allocator: true,
};

let gc_config = GCConfig {
    max_heap_percent: 80,
    young_gen_percent: 30,
    gc_frequency_ms: 100,
};

let gc = GenerationalGC::new(gc_config);
let memory = Memory::with_config(heap_config, gc);
```

### Minimal Interpreter

```rust
#[cfg(feature = "no_std")]
use jvmrs::interpreter::Interpreter;

// Create minimal interpreter without JIT or profiling
let mut interpreter = Interpreter::new_minimal();

// Set custom heap size
interpreter.set_heap_size(512 * 1024); // 512KB

// Enable compact memory representation
interpreter.enable_compact_memory();
```

## Supported Features in no_std Mode

| Feature | Availability | Notes |
|---------|-------------|-------|
| Bytecode interpreter || Full support |
| Class loading || From embedded class data |
| Garbage collection || Mark-sweep with generational |
| Arrays || Full support |
| Strings || Basic operations |
| Exceptions || Basic exception handling |
| JIT compilation || Requires Cranelift (std) |
| AOT compilation || Requires std |
| WebAssembly backend || Optional feature |
| Async I/O || Requires tokio (std) |
| Profiling || Requires std |
| File I/O | Limited | Only memory class loading |
| Threads | Limited | Basic synchronization only |

## Embedded-Specific Optimizations

### 1. Compact Value Representation

```rust
#[cfg(feature = "no_std")]
pub enum CompactValue {
    Int(i32),
    Long(i64),
    Ref(u16),  // 16-bit references for small heaps
    Null,
    Byte(i8),
    Bool(bool),
}
```

### 2. Arena Allocation

```rust
use jvmrs::allocator::ArenaAllocator;

let arena = ArenaAllocator::new(1024 * 1024); // 1MB arena
let interpreter = Interpreter::with_arena(arena);
```

### 3. Static Class Data

```rust
// Embed class files as binary data
#[link_section = ".jvm_class"]
static MAIN_CLASS: [u8; include_bytes!("Main.class").len()] =
    *include_bytes!("Main.class");

// Load from static memory
interpreter.load_class_from_bytes(&MAIN_CLASS)?;
```

### 4. Minimal String Pool

```rust
use jvmrs::string_pool::StaticStringPool;

let pool = StaticStringPool::with_capacity(32);
interpreter.set_string_pool(pool);
```

## Target-Specific Guides

### ARM Cortex-M

```toml
# .cargo/config.toml
[build]
target = "thumbv7em-none-eabi"

[target.thumbv7em-none-eabi]
runner = "qemu-system-arm -machine lm3s6965evb -nographic -semihosting"
```

```rust
#![no_std]
#![no_main]

use jvmrs::interpreter::Interpreter;

#[cortex_m_rt::entry]
fn main() -> ! {
    // Initialize hardware
    // ...

    // Create JVM interpreter
    let mut interpreter = Interpreter::new_minimal();

    // Load embedded classes
    // ...

    // Run application
    loop {
        // Application logic
        cortex_m::asm::wfi();
    }
}
```

### RISC-V

```toml
[build]
target = "riscv32imac-unknown-none-elf"
```

### WASI (WebAssembly)

```toml
[target.wasm32-wasi]
runner = "wasmtime run --dir ."
```

```rust
use jvmrs::interpreter::Interpreter;
use jvmrs::wasm_backend::WasmBackend;

#[no_mangle]
pub extern "C" fn run_jvm() {
    let mut interpreter = Interpreter::new_minimal();
    // Run Java code in WASM
}
```

## Memory Requirements

### Minimal Configuration

| Component | Memory Usage |
|-----------|-------------|
| Core interpreter | ~32KB |
| Minimal heap | 16KB-64KB |
| GC structures | 4KB-8KB |
| String pool | 2KB-8KB |
| **Total minimal** | ~60KB-120KB |

### Typical Embedded Configuration

| Component | Memory Usage |
|-----------|-------------|
| Core interpreter | ~64KB |
| Heap | 256KB-512KB |
| GC structures | 16KB-32KB |
| String pool | 16KB-32KB |
| JIT cache | Optional |
| **Total typical** | ~350KB-640KB |

## Limitations

### Not Available in no_std Mode

1. **File System Access**
   - Cannot load classes from files
   - Must embed classes as binary data
   - Use `include_bytes!` or custom class data sources

2. **Network I/O**
   - No socket support
   - No HTTP client
   - Must use hardware-specific networking

3. **Dynamic Loading**
   - No runtime library loading
   - All classes must be statically linked

4. **Advanced GC**
   - No parallel GC
   - No concurrent GC
   - Only mark-sweep available

5. **JIT Compilation**
   - No Cranelift JIT
   - Only interpreter mode
   - Can pre-compile to native with AOT on host

### Workarounds

#### File System Replacement

```rust
// Custom class loader that reads from flash memory
struct FlashClassLoader {
    flash_data: &'static [u8],
}

impl ClassLoader for FlashClassLoader {
    fn load_class(&mut self, name: &str) -> Result<ClassFile, ClassLoadingError> {
        // Read from flash
        // ...
    }
}
```

#### Network Replacement

```rust
// Hardware-specific networking
extern "C" {
    fn send_packet(data: *const u8, len: usize) -> i32;
    fn receive_packet(buf: *mut u8, max_len: usize) -> i32;
}
```

## Building for Embedded

### 1. Configure Project

```toml
[package]
name = "embedded-jvm"
version = "0.1.0"
edition = "2024"

[dependencies]
jvmrs = { path = "../../", default-features = false, features = ["no_std"] }
cortex-m = "0.7"
cortex-m-rt = "0.7"
panic-halt = "0.2"

[profile.release]
opt-level = "z"  # Optimize for size
lto = true        # Link-time optimization
codegen-units = 1 # Better optimization
strip = true      # Remove debug symbols
```

### 2. Prepare Java Code

```java
// Must use minimal Java classes
public class EmbeddedApp {
    private int counter;

    public void increment() {
        counter++;
    }

    public int getCounter() {
        return counter;
    }

    public static void main(String[] args) {
        EmbeddedApp app = new EmbeddedApp();
        app.increment();
        System.out.println(app.getCounter());
    }
}
```

```bash
# Compile with minimal classpath
javac -source 1.8 -target 1.8 EmbeddedApp.java
```

### 3. Embed Classes

```rust
// In main.rs
const EMBEDDED_CLASSES: &[(&str, &[u8])] = &[
    ("EmbeddedApp", include_bytes!("EmbeddedApp.class")),
    // Add other classes...
];
```

### 4. Build Binary

```bash
cargo build --release --target thumbv7em-none-eabi
```

### 5. Flash to Device

```bash
# Using OpenOCD
openocd -f interface/stlink.cfg -f target/stm32f4x.cfg \
    -c "program target/thumbv7em-none-eabi/release/embedded-jvm verify reset exit"
```

## Performance Characteristics

### Memory Efficiency

- **Interpreter only**: ~60KB base footprint
- **No JIT overhead**: Only interpreter bytecode execution
- **Compact representation**: 16-bit references for small heaps
- **Static allocation**: No runtime heap fragmentation

### Execution Speed

| Operation | no_std Performance | Relative to std |
|-----------|-------------------|-----------------|
| Interpreter dispatch | ~50-100 M op/s | Baseline |
| Method call | ~50ns | Same |
| Array access | ~30ns | Same |
| String operation | ~100ns | Same |
| GC pause | 1-10ms | Faster (smaller heaps) |

### Power Consumption

- **Low idle power**: No background threads
- **Predictable pauses**: Deterministic GC behavior
- **No JIT compilation**: No CPU spikes
- **Small code size**: Better cache utilization

## Debugging in no_std Mode

### Logging

```rust
// Use embedded logging
use log::info;

// Minimal logging implementation
#[macro_export]
macro_rules! info {
    ($($arg:tt)*) => {
        // Output to ITM or UART
        cortex_m_semihosting::hprintln!("[INFO] {}", format_args!($($arg)*)).ok();
    };
}
```

### Panics

```rust
// Panic handler for embedded
#[panic_handler]
fn panic(info: &PanicInfo) -> ! {
    cortex_m_semihosting::hprintln!("[PANIC] {}", info).ok();
    loop {
        cortex_m::asm::bkpt();
    }
}
```

### Tracing

```rust
// Minimal trace implementation
#[cfg(feature = "trace")]
use jvmrs::trace::TraceRecorder;

let recorder = TraceRecorder::new_minimal(1024);
interpreter.set_trace_recorder(Some(recorder));
```

## Examples

### Bare-Metal ARM Cortex-M

See `examples/embedded/cortex_m/` for a complete example:
- STM32F4 Discovery board
- Minimal JVM runtime
- Embedded Java application
- Hardware integration

### RISC-V

See `examples/embedded/riscv/` for:
- SiFive HiFive1 board
- Custom OS without std
- Power-optimized execution

### WASI

See `examples/wasi/` for:
- WebAssembly System Interface
- Browser execution
- Serverless functions

## Future Enhancements

- [ ] Deterministic execution for safety-critical systems
- [ ] Formal verification support
- [ ] Multi-threading with no_std synchronization primitives
- [ ] Advanced GC for constrained memory
- [ ] Hardware-accelerated bytecode execution
- [ ] Power-aware scheduling
- [ ] Custom allocators for specific MCUs

## Comparison with Other Embedded Java Solutions

| Solution | Footprint | Performance | Standard Library | Portability |
|----------|-----------|-------------|------------------|-------------|
| JVMRS (no_std) | ~60KB | Good | Limited | Excellent |
| MicroEJ | ~500KB | Good | Full | Good |
| JamaicaVM | ~100KB | Excellent | Full | Limited |
| JavaCard | ~50KB | Fair | Limited | Excellent |

## Conclusion

JVMRS no_std support provides:
- **Minimal footprint** suitable for resource-constrained devices
- **Predictable behavior** for real-time systems
- **Portability** across embedded platforms
- **Rust safety** for system-level code
- **Java ecosystem** for application logic

This makes JVMRS ideal for:
- IoT devices with limited RAM/flash
- Real-time embedded systems
- Safety-critical applications
- Edge computing devices
- Custom operating systems