20

etvrtak

studeni

2025

Introduction to ARM Architecture: A Modern Computing Foundation


ARM architecture has become one of the most influential computing platforms in the modern era.
From smartphones and tablets to automotive systems, industrial controllers, routers, smart home devices,
and even cloud servers, ARM-based processors are everywhere. Unlike traditional x86 processors,
ARM follows a reduced instruction set computing (RISC) philosophy, focusing on efficiency,
scalability, and flexibility qualities that make it ideal for embedded and power-sensitive applications.


ARM Architecture

1. The Origins and Evolution of ARM




ARM traces its roots back to the 1980s at Acorn Computers in the United Kingdom.
Originally designed to power personal computers, ARM quickly evolved into a licensing-based business model.
Instead of manufacturing chips, ARM develops processor architectures and CPU IP cores, which semiconductor
companies can license and integrate into their own system-on-chips (SoCs).




  • ARM designs the ISA and CPU cores.

  • Chip vendors (Qualcomm, Apple, Rockchip, NXP, MediaTek, Samsung, etc.) integrate these cores with GPUs, NPUs, memory controllers, and I/O blocks.

  • Final products appear in mobile devices, SBCs, automotive ECUs, wearables, and cloud servers.




This licensing ecosystem allows ARM technology to scale from microwatt IoT sensors all the way
to multi-core server processors.



2. RISC Philosophy: The Foundation of ARM




ARM belongs to the RISC (Reduced Instruction Set Computer) family. Compared to CISC architectures like x86,
RISC focuses on simplicity and efficiency. Key principles include:




  • Simple, fixed-length instructions for predictable execution and easier pipeline design.

  • A large general-purpose register set to minimize memory access.

  • Load/store architecture, where only specific instructions access memory.

  • High efficiency per watt, making ARM ideal for mobile and embedded devices.




Over time, ARM has added advanced features such as NEON SIMD, TrustZone security, and vector extensions
while preserving its RISC fundamentals.



3. Major ARM ISA Generations: ARMv7, ARMv8, and ARMv9



3.1 ARMv7: The 32-bit Era




ARMv7 powered early smartphones and embedded Linux systems. Features include:




  • ARM Thumb/Thumb-2 instruction sets for better code density.

  • NEON acceleration for multimedia processing.

  • TrustZone secure execution mode.




Popular cores such as Cortex-A8 and Cortex-A9 belong to this generation.



3.2 ARMv8: The 64-bit Transition




ARMv8-A introduced the 64-bit AArch64 architecture while retaining backward compatibility with 32-bit AArch32.
Its improvements include:




  • 64-bit registers and larger virtual address space.

  • A modernized exception and privilege model.

  • Improved floating-point and SIMD performance.




ARMv8 enabled ARMs shift from mobile devices to servers and high-performance computing.



3.3 ARMv9: Security and Vector Computing




Launched as the next major evolution, ARMv9 strengthens security and accelerates AI workloads.
It includes:




  • ARM CCA (Confidential Compute Architecture) for secure execution environments.

  • SVE2 (Scalable Vector Extension 2) for AI, DSP, and HPC tasks.

  • Enhanced debugging and memory safety improvements.



4. ARM Processor Families




ARM divides its CPU IP into specialized series, each targeting different market needs.



4.1 Cortex-A: Application Processors




Designed for rich operating systems such as Android, Linux, and Windows on ARM. Features include:




  • MMU and virtual memory support.

  • Multi-level caches, out-of-order execution, and advanced pipelines.

  • Used in smartphones, SBCs, automotive IVI, and industrial HMI systems.



4.2 Cortex-R: Real-Time Processors




Targeting mission-critical applications requiring deterministic responses:




  • Low-latency interrupt handling.

  • Lockstep and ECC features for safety.

  • Used in automotive control units, HDD controllers, and communication modems.



4.3 Cortex-M: Microcontrollers




Cortex-M processors dominate the MCU market:




  • Low power consumption.

  • Integrated peripherals such as NVIC, timers, and GPIO.

  • Common in IoT nodes, appliances, and small industrial devices.



4.4 Neoverse: Data Center and Network Infrastructure




Neoverse cores power cloud servers and networking equipment:




  • High core counts and server-class performance.

  • Excellent virtualization support.

  • Used in ARM-based cloud instances from AWS, Google, Azure, and Alibaba Cloud.



5. Advantages of ARM Architecture



5.1 Exceptional Energy Efficiency




ARM processors deliver excellent performance per watt, making them ideal for:




  • Battery-powered consumer devices.

  • Industrial systems requiring 24/7 uptime.

  • Edge computing and micro-servers with thermal constraints.



5.2 Highly Customizable SoCs




Because ARM provides IP rather than complete chips, vendors can tailor SoCs for their exact needs.
This allows integration of:




  • GPUs, NPUs, VPU modules.

  • Custom I/O interfaces (MIPI, LVDS, PCIe, Ethernet, CAN, etc.).

  • Automotive-grade safety mechanisms and industrial-grade reliability.



5.3 Mature Software Ecosystem




ARM enjoys broad software support:




  • Mobile systems: Android and iOS.

  • Embedded Linux: Buildroot, Yocto, Debian, Ubuntu.

  • Cloud computing: full support for ARM64 in major distributions, container platforms, and databases.




This ecosystem lowers development cost and accelerates time-to-market.



6. Challenges and Design Considerations




  • Fragmented BSP quality across different SoC vendors.

  • Long-term supply concerns for industrial and automotive projects.

  • Debug and tooling differences compared to x86 environments.

  • Performance evaluation must be workload-specific, especially for memory- and vector-heavy tasks.



7. ARMs Role in Modern Computing




Todays computing landscape demands both high performance and high efficiency.
ARM fits naturally into this trend:




  • Dominant in mobile and embedded markets.

  • Rapidly expanding in cloud and HPC workloads.

  • Providing end-to-end silicon solutions for IoT, industrial systems, and automotive platforms.




As the industry continues shifting toward heterogeneous computing and energy-optimized architectures,
ARMs combination of performance, efficiency, and ecosystem maturity ensures it will remain
one of the most important processor architectures for years to come.




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