🌐 Website: https://maplesilicon.co
Maple Silicon Inc. is a Canadian technology company focused on compiler and systems infrastructure for efficient AI computation.
Our work targets a growing gap in modern AI systems: while models increasingly exhibit structured sparsity, today’s software stacks largely treat computation as dense — wasting memory bandwidth, energy, and silicon capacity.
Maple Silicon’s goal is to make sparsity a first-class, verifiable property across the ML stack, starting at the compiler layer.
SparseFlow is an MLIR-based compiler framework designed to preserve, validate, and execute structured sparsity (N:M) across lowering and runtime execution.
Instead of relying on backend-specific kernel tricks or opaque optimizations, SparseFlow treats sparsity as a compiler-level contract:
- Explicit sparsity metadata
- Verified transformations
- Safe fallback to dense execution when constraints are not met
This approach improves correctness, debuggability, and long-term portability across hardware backends.
Modern AI hardware is constrained by:
- Memory bandwidth
- Power limits
- Inefficient dense execution of sparse models
At the same time:
- Structured sparsity (e.g. 2:4) is increasingly common in production models
- Hardware support exists but is fragile and backend-specific
- End-to-end verification of sparsity is largely missing
SparseFlow addresses this gap at the compiler level, enabling more reliable and transparent sparse execution on existing hardware.
- ✅ CPU correctness validated
- ✅ Initial GPU functional validation completed
⚠️ GPU kernels not yet performance-tuned- 🚧 Benchmarking and cross-vendor validation in progress
Note: SparseFlow is currently in research and development stage.
Performance optimization is not yet the primary goal.
Maple Silicon Inc. is open to:
- Research collaboration
- Early technical feedback
- Pilot evaluations
- Academic and industry discussions
This is foundational infrastructure under active development, not a polished commercial product.
📧 Email: info@maplesilicon.co
🌐 Website: https://maplesilicon.co
SparseFlow is an experimental research project.
APIs, behavior, and performance characteristics may change without notice.