Arm Blog

SIMD Loops is an open-source project designed to help developers learn SVE and SME through hands-on experimentation. It offers a clear, practical pathway to mastering Arm’s most advanced SIMD technologies…

Acquire fences aren’t always enough. See how LDAPR exposed unsafe interleavings and what we did to patch the problem.

Learn the basics of using Gappa for numerical error analysis, using floating-point division in Arm machine code as a case study.

A method of testing whether a numerical error analysis using Gappa really matches the code it is intended to describe.

Arm Performance Studio gives developers free tools to analyze performance, debug graphics, and optimize apps on Arm platforms.

Python powers applications across Machine Learning (ML), automation, data science, DevOps, web development, and developer tooling.

Learn how Raspberry Pi 5 and Arm-based local LLM inference can power a fully private, cloud-free smart home assistant with real-time performance

Laying the foundation for neural upscaling to enable sharper, smoother, AI-powered gaming on next-generation Arm GPUs.

A deep dive into a practical, ML-powered approach to temporal super sampling.

We are thrilled to announce our collaboration with Unity on the release of the new Unity Profiler eBook for Unity6. The eBook is a comprehensive guide to optimizing performance across many platforms and…

Arm Development Studio 2025.0 now available with Arm Toolchain for Embedded Professional.

Exploring advanced mobile GPU optimizations in Godot using Arm tools like Streamline and Mali Offline Compiler for real-world performance gains.

Run consistent latency and bandwidth checks on CMN interconnects using AMBA Viz’s new performance script—no API expertise needed.

GCC 15 brings major Arm optimizations: enhanced vectorization, FP8 support, Neoverse tuning, and 3–5% performance gains on SPEC CPU 2017.

In part 1 of this series, learn how we utilized Arm Performance Studio to identify and resolve major performance issues in Godot’s Vulkan-based mobile renderer.

Realistic clothing simulation on mobile—our neural GAT model delivers lifelike cloth motion without heavy physics or ground-truth data.

Develop, test, and deploy natively on Windows on Arm with GitHub-hosted Arm runners—faster CI/CD, AI tooling, and full dev stack, no emulation needed.

Discover what's new in LLVM 20, including Armv9.6-A support, SVE2.1 features, and key performance and code generation improvements.