This guide walks developers with C and assembly experience through building a simple bare‑metal operating system that runs directly on ARM64 hardware without any existing OS or bootloader, offering a hands‑on introduction to low‑level system concepts for students, embedded engineers, and computer‑system enthusiasts.
This article explores the challenges of memory safety in Android, explains the design and core mechanisms of ARM's Memory Tagging Extension (MTE), and details its hardware, compiler, kernel, and user‑space implementations, deployment options, and advantages over other memory‑protection techniques.
The article analyzes the evolution of cloud computing and the challenges of migrating applications from X86 to ARM architectures, covering cross‑architecture adaptation, virtualization, containerization, cloud‑native practices, language‑specific impacts, and a real‑world case study of the BlueMail platform.
This comprehensive tutorial details the process of deploying a complete Hadoop-based big data ecosystem on ARM architecture, covering the installation and configuration of essential components including Java, Zookeeper, Hadoop, MySQL, Hive, and Spark with practical code examples.
The article provides a detailed technical overview of Fujitsu's ARM‑based A64FX processor, its design origins, specifications, network architecture, and how it enables the Fugaku supercomputer to achieve world‑leading performance while illustrating broader trends in high‑performance computing hardware.
The article reviews the rapid rise of ARM‑compatible CPUs in high‑performance computing, detailing national strategies, TOP500 deployments, commercial HPC offerings, major vendors, architectural evolutions such as ARMv9 and SVE2, and future trends toward higher single‑core performance, enhanced vectorization, memory bandwidth, security, and broader ecosystem adoption.
The article examines Fujitsu’s A64FX ARM‑compatible processor, detailing its 7 nm FinFET design, HBM2 memory, SVE vector extensions, and system‑on‑chip integration, while comparing its engineering philosophy and performance to IBM’s BlueGene/L and explaining how these choices enabled the Fugaku supercomputer to top the Top500 list.
A former Apple developer has released a 350‑page reverse‑engineering report that dissects the M1 ARM chip’s architecture, performance, and cache design, offering detailed experiments, patent analysis, and insights for readers with strong CPU knowledge while highlighting the challenges of opening Apple’s closed hardware ecosystem.
Amid global chip shortages and shifting market dynamics, Chinese internet powerhouses like ByteDance, Tencent, and Xiaomi, alongside global players such as Google, Intel, and Nvidia, are accelerating their own semiconductor initiatives, reshaping the industry from smartphone SoCs to AI‑focused cloud processors.
Apple’s M1 chip, based on ARM architecture, faces compatibility challenges with Docker and many mainstream x86 applications, prompting solutions like Rosetta 2 while highlighting cost advantages and future software support hurdles, as developers work to adapt tools such as Node, Python, Go, and browsers for Apple Silicon.
