Abstract: Compute-in-memory (CIM) is a new computing paradigm that addresses the memory-wall problem in hardware accelerator design for deep learning. The input vector and weight matrix multiplication ...
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 ...
Compared with System.Text.Json, protobuf-net, MessagePack for C#, Orleans.Serialization. Measured by .NET 7 / Ryzen 9 5950X machine. These serializers have IBufferWriter<byte> method, serialized using ...
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