 ZacharyZcR
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cbd599024e
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Unify continuous batching + heterogeneous runtime: decode batching, physical-core planning, disjoint VRAM/RAM placement, topp-policy warning (CPU-validated, CUDA on 6x5090) (#68)
* 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
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2026-07-13 14:30:36 +02:00 |
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