whisper.cpp/ggml/include
Johannes Gäßler bb895c843d
ggml: backend-agnostic tensor parallelism (experimental) (llama/19378)
* ggml: backend-agnostic tensor parallelism

* support for GPT-OSS, Qwen 3 MoE

* partial Vulkan fix

* add support for 4/8 GPUs

* unconditional peer access

* re-use buffers + ggml contexts

* fix output pattern

* NCCL support

* GGML: HIP: add RCCL support

* Remove shfl and AllReduce from backend interface

* move allocation workaround out of ggml-alloc.c

* 2d tensor set/get support

* Fix the seg fault without NCCL

* Apply suggestion from JohannesGaessler

* support for tensor dims % n_devs != 0

* fix view_offs scaling

* arbitrary num. of GPUs/tensor split

* fix compilation

* better granularity estimate

* Support device-specific host buffer types if all underlying backends expose the same type. This allows using pinned memory instead of pageable memory for CUDA.

Fix compilation errors.

* partial Qwen 3 Next support

* Fix qwen3 30b (llama/8)

* Fix crash with Qwen-30B-A3B Q4_0

Qwen-30B-A3B Q4_0 has an intermediate dimension of 768. Using a granularity of 256 forces an uneven split between GPUs, which is not supported by the current implementation.

* Decide block size based on tensor quantization type

* Fix crashes due to KV cache serialization (llama/9)

KV cache serialization requires non-zero offsets on the tensor. Add support in the meta backend to set/get a tensor with a non-zero offset.

* metal : fix build (llama/7)

* static memory allocations, fix usage count

* fix tensor granularity

* more even memory distribution

* use BF16 for allreduce

* rebase fixup

* better error message for unsupported architectures

* Fix device mismatch during scatter of allReduce. (llama/11)

There is a mismatch between the dst buffer device and the backend device, causing the use of sync copies

* Enable the previous allreduce implementation. It is better in both perf and stability (llama/12)

* delay AllReduce for Moe for less I/O

* build : clean-up compile warnings

* backend : move most of the meta backend API to ggml-backend-impl.h

* cont : hide unused public API in the implementation

* llama : use llama_device + remove ggml_backend_dev_is_meta()

* ggml-backend : remove unused alloc include

* minor : remove regex include

* ggml : introduce ggml-ext.h for staging new APIs

* rebase fixup

* fix tests

* llama : more robust logic for determining Meta devices (llama/16)

* llama : more robust logic for determining Meta devices

* cont : fix devs size check

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

* cont : fix log type

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

* disable roundtrip for meta backend

* fix arch selection

* Qwen 3.5 support

* fix Gemma 4 MoE

* fix OpenVino, SYCL

* fix test-llama-archs for CPU-only builds

* Fix Qwen 3.5 MoE

* disable meta backend tests for WebGPU

* tests : filter CPU-based devices from the Meta backend tests (llama/17)

* meta : formatting, naming, indentation (llama/18)

* formatting : llama-model.cpp

* formatting : ggml-ext.h

* formatting : ggml-backend-meta.cpp

* meta : add TODO

* add documentation

* better error messages

* fix GPT-OSS

---------

Co-authored-by: Carl Philipp Klemm <carl@uvos.xyz>
Co-authored-by: Gaurav Garg <gaugarg@nvidia.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2026-04-30 11:29:05 +03:00
..
ggml-alloc.h llama: automatically set parameters not set by the user in such a way that maximizes GPU utilization (llama/16653) 2025-12-18 08:20:56 +02:00
ggml-backend.h ggml: backend-agnostic tensor parallelism (experimental) (llama/19378) 2026-04-30 11:29:05 +03:00
ggml-blas.h ggml : build backends as libraries (llama/10256) 2024-11-20 21:00:08 +02:00
ggml-cann.h docs : Minor cleanups (llama/19252) 2026-02-08 09:29:10 +02:00
ggml-cpp.h ggml : fix ggml_gallocr_ptr type (ggml/1205) 2025-05-01 13:29:02 +03:00
ggml-cpu.h ggml-cpu: FA split across kv for faster TG (llama/19209) 2026-02-08 09:29:10 +02:00
ggml-cuda.h ggml: backend-agnostic tensor parallelism (experimental) (llama/19378) 2026-04-30 11:29:05 +03:00
ggml-hexagon.h Add experimental ggml-hexagon backend for the Hexagon NPU (llama/16547) 2025-11-09 23:38:03 +02:00
ggml-metal.h metal : refactor + optimize v2 (llama/15995) 2025-09-20 13:46:10 +03:00
ggml-opencl.h Introducing experimental OpenCL backend with support for Qualcomm Adreno GPUs (llama/10693) 2024-12-18 12:52:16 +02:00
ggml-openvino.h ggml : add OpenVINO backend (llama/15307) 2026-03-16 13:10:15 +02:00
ggml-opt.h chore : correct typos [no ci] (llama/20041) 2026-03-16 13:10:15 +02:00
ggml-rpc.h ggml : bump RPC version (llama/20330) 2026-03-16 13:10:15 +02:00
ggml-sycl.h ggml : build backends as libraries (llama/10256) 2024-11-20 21:00:08 +02:00
ggml-virtgpu.h ggml-virtgpu: make the code thread safe (llama/19204) 2026-02-08 09:29:10 +02:00
ggml-vulkan.h vulkan: Make Vulkan optional at runtime (ggml/11493). (llama/11494) 2025-02-27 08:55:36 +02:00
ggml-webgpu.h ggml: Add initial WebGPU backend (llama/14521) 2025-07-20 00:23:50 +03:00
ggml-zdnn.h zdnn: refactor codebase + add docs (llama/16178) 2025-09-29 15:18:09 +03:00
ggml-zendnn.h ggml-zendnn : add ZenDNN backend for AMD CPUs (llama/17690) 2025-12-12 17:53:21 +02:00
ggml.h ggml : deprecate GGML_OP_ADD1 (llama/21363) 2026-04-30 11:29:02 +03:00
gguf.h llama: fix llama-model-saver (llama/20503) 2026-03-29 15:04:36 +03:00