mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2026-07-23 11:10:55 -05:00
sycl: Add optional USM system allocations (#22526)
This introduces an optional feature to allocate large GPU buffers (≥ 1GB) using USM system allocations if supported by the device. It allows using buffers from the system allocator then letting the system manage memory migrations between host and device as necessary. This feature is disabled by default and requires the GGML_SYCL_USM_SYSTEM environment variable to enable. If USM system allocations are not supported by the device or the system, we fallback to regular allocations. This feature can allow VRAM overcommit. For example, the test below fails on B580 due to lack of memory for allocation, but it passes when enabling USM system allocations: ./examples/sycl/test.sh -m Qwen3.5-27B-Q3_K_M.gguf -lv 4 Signed-off-by: Francois Dugast <francois.dugast@intel.com>
This commit is contained in:
@@ -720,6 +720,7 @@ use 1 SYCL GPUs: [0] with Max compute units:512
|
||||
| GGML_SYCL_ENABLE_VMM | 0 or 1 (default) | Enable the virtual-memory device pool. |
|
||||
| ZES_ENABLE_SYSMAN | 0 (default) or 1 | Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory.<br>Recommended to use when --split-mode = layer |
|
||||
| UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS | 0 (default) or 1 | Allow SYCL/Unified Runtime Level Zero device allocations larger than 4 GiB. llama.cpp's direct Level Zero allocation path requests the relaxed maximum-size limit itself when GGML_SYCL_ENABLE_LEVEL_ZERO=1. |
|
||||
| GGML_SYCL_USM_SYSTEM | 0 (default) or 1 | Enable experimental support for [USM system allocations](https://github.khronos.org/SYCL_Reference/iface/usm_basic_concept.html#system-allocations) for large GPU buffers. This requires enough host memory for model weights and caches, an Intel Xe2+ GPU such as BMG or newer and supported on Linux only, with CONFIG_DRM_XE_GPUSVM enabled. |
|
||||
|
||||
## Compile-time Flags
|
||||
|
||||
|
||||
Reference in New Issue
Block a user