The GCC Compiler has received new patches for the upcoming Intel Lunar Lake & Arrow Lake lineup. We have seen a similar strategy from Intel since it provides preliminary support for future architectures way earlier than AMD.
Intel Tends to Provide Support Way Earlier Than Official Launch, Unlike AMD
Phoronix reports that Intel has added instructions support through a new patch for Lunar Lake, Arrow Lake, and Arrow Lake S. The new patches are expected to be compatible with the upcoming GCC 14 compiler release. To clarify this update, The GCC (GNU Compiler Collection) is a suite of compilers and tools developed to generate machine code.
When a new processor is released, it may introduce new features, instructions, or architectural changes. To take advantage of these new capabilities, the GCC developers may need to update the compiler to support them. Typically, this entails implementing the new instruction set extensions, streamlining code generation for the new processor, and modifying the internal compiler structures.
One important detail highlighted by Phoronix reveals that the new patch suggests that only the Arrow Lake S will support AVX-VNNI-INT16, SHA512, SM3, and SM4 instructions, while the other models in Arrow Lake won't do so. In comparison, this information isn't confirmed yet, since the development is in its initial stages. However, these instructions are helpful in AI and machine learning applications; hence if excluded, it wouldn't have much effect on an average consumer.
A previous Intel "Architecture Instruction Set Extensions and Future Features" document also revealed similar instructions to be added in the upcoming Arrow Lake-S lineup. Intel's efforts toward providing early support for its upcoming lineup are appreciable, unlike AMD, which tends to implement support as late as a month before an official launch.
News Source: Phoronix
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
Follow Wccftech on Google to get more of our news coverage in your feeds.
