Neo Zhang Jianyu 715641391d
Support multiple GPUs (split mode) on SYCL backend (#5806)
* suport multiple cards: split-mode - layer|row

* rm warning

* rebase with master, support tow new OPs, close feature for -sm=row, fix for unit test

* update news

* fix merge error

* update according to review comments
2024-03-02 19:49:30 +08:00
..

llama.cpp/example/sycl

This example program provide the tools for llama.cpp for SYCL on Intel GPU.

Tool

Tool Name Function Status
ls-sycl-device List all SYCL devices with ID, compute capability, max work group size, ect. Support

ls-sycl-device

List all SYCL devices with ID, compute capability, max work group size, ect.

  1. Build the llama.cpp for SYCL for all targets.

  2. Enable oneAPI running environment

source /opt/intel/oneapi/setvars.sh
  1. Execute
./build/bin/ls-sycl-device

Check the ID in startup log, like:

found 4 SYCL devices:
  Device 0: Intel(R) Arc(TM) A770 Graphics,	compute capability 1.3,
    max compute_units 512,	max work group size 1024,	max sub group size 32,	global mem size 16225243136
  Device 1: Intel(R) FPGA Emulation Device,	compute capability 1.2,
    max compute_units 24,	max work group size 67108864,	max sub group size 64,	global mem size 67065057280
  Device 2: 13th Gen Intel(R) Core(TM) i7-13700K,	compute capability 3.0,
    max compute_units 24,	max work group size 8192,	max sub group size 64,	global mem size 67065057280
  Device 3: Intel(R) Arc(TM) A770 Graphics,	compute capability 3.0,
    max compute_units 512,	max work group size 1024,	max sub group size 32,	global mem size 16225243136

Attribute Note
compute capability 1.3 Level-zero running time, recommended
compute capability 3.0 OpenCL running time, slower than level-zero in most cases