placement: full-resident experts on large-memory hosts — CUDA_EXPERT_GB=auto, PIN_GB=all, adaptive GPU slots, RoPE cache (#80)

* Fuse CUDA expert MLP execution

* Group CUDA expert transfers by device

* Instrument grouped CUDA expert execution

* Bound grouped CUDA decode scratch

* Execute expert groups across GPUs in parallel

* Release host backing for multi-GPU experts

* Define quality-preserving memory policies

* Overlap cold expert loading with resident compute

* Adapt expert placement with session LFRU

* Fuse q4 expert gate and up dispatch

* Plan CPU work on physical cores

* Batch grouped expert CUDA kernels

* Separate VRAM and RAM expert placement

* Add ragged multi-sequence decode forward

* feat(runtime): add continuous decode scheduler

* Route concurrent API requests through batch scheduler

* Harden multiplex request lifecycle and framing

* Cancel disconnected multiplex requests

* Bind API port before starting the engine

* fix automatic KV slot allocation

* add native int4 Tensor Core grouped GEMM

* add Tensor Core throughput benchmark

* optimize packed int4 low-row kernels

* add asynchronous CUDA staging streams

* document validated six-GPU dense acceleration

* tune six-GPU expert hot set

* raise validated expert hot-set target

* add CUDA MLA absorption core

* fuse grouped expert gate and up projections

* Warn for explicit lossy routing flags

* Add full-resident expert placement mode

* Adapt VRAM expert slots to live routes

* Accelerate int4 matvec on AVX-512

* Reduce AVX-512 and RoPE decode overhead

* Seed every GPU expert layer after prefill

* Limit live GPU swaps during decode

---------

Co-authored-by: JustVugg <JustVugg@users.noreply.github.com>

c/backend_cuda.h

@@ -73,6 +73,10 @@ COLI_CUDA_DLLEXPORT void coli_cuda_tensor_free(ColiCudaTensor *tensor);
 COLI_CUDA_DLLEXPORT size_t coli_cuda_tensor_bytes(const ColiCudaTensor *tensor);
 COLI_CUDA_DLLEXPORT int coli_cuda_tensor_device(const ColiCudaTensor *tensor);
 
+/* Replace a resident tensor's contents without reallocating its device slot. */
+int coli_cuda_tensor_update(ColiCudaTensor *tensor,
+                            const void *weights, const float *scales);
+
 #ifdef __cplusplus
 }
 #endif