Future Extensions
This page outlines extensions planned for releases after v0.10.0. These features are under active development or under consideration for future releases; none are part of the v0.10.0 shipped compiler unless explicitly marked otherwise.
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 (CUDA) | Enterprise | Production CUDA 12.8+ backend via Enterprise license; cuBLAS/cuBLASLt/cuDNN, 8-stream pool, caching arena allocator. |
| AMD GPU (ROCm) | Planned | ROCm backend targeting rocBLAS / hipStream; roadmap item. |
| Apple Silicon (Metal) | Planned | Metal Performance Shaders backend; roadmap item. |
| WebGPU | Planned | Browser and native execution via WGSL shader codegen; roadmap item. |
| WebNN (CPU/GPU/NPU) | Planned | W3C WebNN graph builder with CPU/GPU/NPU device selection; roadmap item. |
| Google TPU | Planned | TPU execution backend; roadmap item. |
| On-device NPU | Planned | Dedicated neural accelerator backends (ANE, Hexagon, OpenVINO); roadmap item. |
| Groq LPU (TSP) | Planned | LPU execution backend; roadmap item. |
| DPU (BlueField / Pensando) | Planned | Data processing unit offload backend; roadmap item. |
| FPGA (Versal / Agilex) | Planned | FPGA execution backend via HLS lowering; roadmap item. |
| ASIC | Planned | Custom ASIC execution dialect; roadmap item. |
| Cerebras (WSE-2 / WSE-3) | Planned | Wafer-scale engine backend; roadmap item. |
| Taalas (Hardware Models) | Planned | Hardware model provenance integration; roadmap item. |
| Tenstorrent (Wormhole / Blackhole) | Planned | TT-Metalium / Tensix mesh execution backend; roadmap item. |
| SambaNova (RDU) | Planned | Reconfigurable dataflow unit backend; roadmap item. |
| Graphcore IPU (Bow / Mk2) | Planned | IPU BSP execution backend; roadmap item. |
| Intel Gaudi (2 / 3) | Planned | Gaudi accelerator execution backend; roadmap item. |
Developer Tooling
- Language Server Protocol (LSP): IDE integration with autocomplete, diagnostics
- Formatter: Shipped —
mindc fmt(Mindcraft) provides deterministic, idempotent formatting today; see the Roadmap - 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.