llama.cpp b10151 Released with Parallelized SYCL Build Optimization
llama.cpp has released version b10151, which introduces a build-system improvement that parallelizes ocloc compiler invocations for SYCL. This update aims to optimize the build process when compiling the software for SYCL-supported hardware. Parallelizing compiler invocations reduces build times for developers compiling llama.cpp with SYCL support, improving the development workflow for Intel GPUs and other accelerators. It reflects ongoing maintenance to streamline cross-platform hardware support in the LLM inference ecosystem. The optimization specifically targets the Intel OpenCL Offline Compiler (ocloc) within the SYCL build pipeline. Additionally, this release includes pre-built binaries for various platforms, though the macOS Apple Silicon build with KleidiAI enabled remains disabled.
## BACKGROUND
llama.cpp is a popular open-source C/C++ implementation for running LLMs locally with high performance. SYCL is a royalty-free, cross-platform programming model based on C++ that allows developers to write code for heterogeneous accelerators like GPUs. Ocloc is Intel's OpenCL Offline Compiler, used to compile OpenCL or SPIR-V code for specific Intel hardware targets.