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Abstract: Sparse matrix-vector multiplication (SpMV) is a critical kernel in scientific computing and high-performance applications, yet it remains challenging to optimize due to irregular memory ...

Abstract: Deep learning models rely heavily on matrix multiplication, which is computationally expensive and memory-intensive. Sparse matrices, which contain a high proportion of zero elements, offer ...

For mechanics of each system, see docs/systems.md. For what emerges from their interactions, see docs/emergent_behaviors.md. matrix-simulation/ ├── src/ <- Core simulation engine │ ├── agents.py <- ...

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