Future Extensions
This page outlines planned extensions to the MIND language and runtime. These features are under active development or consideration for future releases.
Phase 13: BCI & Neuroscience
Optimizations for brain-computer interface and real-time neural processing:
- Ultra-low latency paths: Target <1ms inference for real-time neural decoding
- Streaming tensors: Continuous data ingestion with sliding windows
- Pre-allocated memory pools: Eliminate allocation jitter
- Signal processing primitives: FFT, bandpass filtering, online normalization
- @realtime annotation: Latency-critical function marking
Distributed Training
Multi-node training support for large models (see Distributed Execution Guide):
- Data parallelism with automatic gradient synchronization
- Model parallelism for models exceeding single-device memory
- Pipeline parallelism for improved throughput
- Integration with collective communication libraries (NCCL, Gloo)
- Elastic training with fault tolerance and automatic recovery
Production Deployment
Full-stack deployment infrastructure (see Deployment Guide):
- One-command deployment to cloud, edge, and on-premise
- Containerized serving with auto-scaling
- A/B testing and canary deployments
- Model versioning and rollback
- Built-in monitoring with OpenTelemetry integration
Sparse Tensors
First-class support for sparse data:
- Sparse tensor types (CSR, CSC, COO formats)
- Sparse-aware autodiff
- Optimized sparse-dense operations
- Graph neural network primitives
Quantization
Built-in quantization for efficient inference:
- INT8/INT4 quantization with calibration
- Mixed-precision training (FP16/BF16)
- Quantization-aware training
- Post-training quantization tools
Hardware Targets
| Target | Status | Notes |
|---|---|---|
| x86-64 CPU | Stable | AVX2/AVX-512 vectorization |
| ARM64 CPU | Stable | NEON vectorization |
| NVIDIA GPU | Mock Ready | MockGpuBackend (CPU delegation); native CUDA 12 planned |
| AMD GPU | Mock Ready | MockGpuBackend (CPU delegation); native ROCm planned |
| WebGPU | Planned | Browser-based inference |
| Apple Silicon | Mock Ready | MockGpuBackend (CPU delegation); native Metal planned |
Developer Tooling
- Language Server Protocol (LSP): IDE integration with autocomplete, diagnostics
- Formatter: Opinionated code formatter (mindfmt)
- Debugger: Step-through debugging with tensor inspection
- Profiler UI: Visual flame graphs and memory analysis
Learn More
See the full future extensions specification at mind-spec/future-extensions.md and the Roadmap for timeline information.