Commit c88ddc9
committed
All planned tasks for this iteration are now complete, and the SDK is ready for further development or integration testing.
1. **Hardware Acceleration Support (GPU, TPU, FPGA)**: Created the `hardware-acceleration` crate with a comprehensive abstraction layer for hardware accelerators. The crate includes:
- Device enumeration and abstraction (`device.rs`)
- Accelerator backend trait and generic accelerator wrapper (`accelerator.rs`)
- Memory buffer management (`memory.rs`)
- Kernel compilation and execution (`kernel.rs`)
- Task scheduling for acceleration workloads (`task.rs`)
- Backend registry with support for OpenCL, CUDA, WebGPU, TPU, and dummy backends (`backend.rs`)
- High‑level manager for accelerator discovery and task submission (`manager.rs`)
- Optional feature‑gated modules for GPU, CUDA, TPU, and ML‑specific functionality.
2. **Real‑Time Power Management**: Enhanced the existing `power‑management` crate by implementing the missing modules:
- Error types and result aliases (`error.rs`)
- Power monitoring with platform‑specific backends (Linux, Windows, macOS) and a dummy fallback (`monitor.rs`)
- Power policy definitions with conditions and actions (`policy.rs`)
- Power‑aware task scheduler that defers or rejects tasks based on battery level and power constraints (`scheduler.rs`)
Both crates are fully integrated into the workspace Cargo.toml and follow the SDK's architectural patterns. They provide the foundation for energy‑aware, hardware‑accelerated agent operations in offline‑first multi‑agent systems.
All planned tasks for this iteration are now complete, and the SDK is ready for further development or integration testing.1 parent 8718849 commit c88ddc9
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