Compute-in-memory (CIM) is being widely explored to minimize power consumption related to data movement and multiply-and-accumulate (MAC) operations for AI edge devices. Compared to analog based CIMs, ...
Provides a ComputeBackend trait that abstracts all hardware-specific matrix operations. Every LARQL crate (inference, vindex) uses this trait — the caller never knows whether the operation runs on CPU ...
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