Advanced RISC Machines

Advanced RISC Machines
Original uploader was Yesme@ at vi.wikipedia · CC BY-SA 2.0 · source
Name	ARM Holdings plc
Founded	1990
Headquarters	Cambridge, England
Industry	Semiconductor
Products	Microprocessors, System-on-Chip designs, IP cores
Fate	Rebranded/licensed globally

Advanced RISC Machines

Advanced RISC Machines was a British semiconductor design company formed to commercialize a family of reduced instruction set computing processors developed from research at Acorn Computers, University of Cambridge, BBC Micro, ARM designers and collaborators; it played a central role in the growth of mobile computing, embedded systems and consumer electronics and influenced platforms from Apple Inc. to Qualcomm and Samsung Electronics. Its corporate trajectory involved strategic partnerships with entities such as Apple Computer, VLSI Technology, SoftBank Group, NVIDIA, and later Arm Ltd. acquisitions, shaping licensing models that affected suppliers like Texas Instruments, STMicroelectronics, Broadcom Inc. and Intel Corporation.

History

The company was established through a joint venture among Acorn Computers, Apple Computer, and VLSI Technology and evolved amid linkages to institutions like the University of Cambridge and projects associated with the BBC Micro platform; early leadership included figures connected to Steve Furber and Sophie Wilson who had roots in the British microcomputer scene. During the 1990s ARM expanded via licensing agreements with firms such as NEC, Hitachi, Motorola, and Mitsubishi Electric while navigating global markets alongside competitors like MIPS Technologies, Intel Corporation, IBM, and Sun Microsystems. Strategic corporate events involved a public listing, acquisitions and investment by groups including SoftBank Group and later discussions involving NVIDIA and regulatory bodies like the European Commission and the United Kingdom Competition and Markets Authority.

Architecture

ARM architecture draws on RISC principles from academic work associated with University of Cambridge research groups and aligns with processor design philosophies seen in projects at Bell Labs, Stanford University, and MIT. Its pipeline and register file approach parallel developments by teams including researchers at ARM Ltd. who collaborated with hardware partners such as Texas Instruments and Samsung Electronics. Implementations vary across cores such as designs licensed to Apple Inc. for SoCs used in devices from iPhone series to tablets, and to embedded vendors like NXP Semiconductors, Renesas Electronics, and Microchip Technology. Architectural decisions influenced by low-power goals made ARM designs suitable for integration into systems produced by Sony, LG Electronics, HTC, and Huawei Technologies.

Instruction Set and Extensions

The instruction set evolved from compact 32-bit RISC encodings to include extensions introduced to serve markets including mobile, server and IoT; these extensions echo work done by partners like Apple Inc., Qualcomm, NVIDIA, Broadcom Inc., and research labs at Cambridge University. Notable additions encompass multimedia and cryptographic features developed alongside collaborators such as ARM Ltd. engineering teams and third-party implementers including Samsung Electronics and MediaTek. Licensing of architectures enabled third parties like Imagination Technologies and Marvell Technology Group to implement tailored instruction subsets and extensions optimized for platforms pioneered by Google, Microsoft, Amazon.com and real‑time vendors such as Wind River Systems.

Implementations and Products

ARM architectures were implemented in a wide range of products from microcontrollers by STMicroelectronics, NXP Semiconductors, and Infineon Technologies to high-performance cores used in SoCs by Apple Inc., Qualcomm, Samsung Electronics, MediaTek, and Huawei Technologies's HiSilicon. Consumer devices employing licensed cores include smartphones from Apple Inc. and Samsung Electronics, tablets from Microsoft Corporation and Amazon.com, networking equipment by Cisco Systems, and gaming consoles from companies like Nintendo and Sony Interactive Entertainment. Embedded and automotive applications saw adoption in products from Bosch, Continental AG, Tesla, Inc., and industrial systems supplied by Siemens.

Performance and Benchmarking

ARM-based processors were evaluated in comparative studies against x86 designs from Intel Corporation and Advanced Micro Devices on metrics used by industry bodies and publications such as SPEC, AnandTech, and Tom's Hardware; comparisons highlighted energy efficiency advantages exploited by mobile OEMs including Apple Inc. and Samsung Electronics. Benchmarking across workloads involving machine learning and vector processing prompted implementations with NEON and SIMD features in collaboration with partners such as ARM Ltd. engineers, while server-class evaluations considered entrants from Amazon Web Services and experiments by Cavium and Marvell Technology Group adopting ARM cores for data centers. Performance per watt considerations influenced adoption by cloud providers including Google, Microsoft Azure, and Facebook (Meta Platforms).

Market Impact and Licensing

ARM's licensing model created an ecosystem linking semiconductor foundries like TSMC, GlobalFoundries, and UMC with fabless companies such as Qualcomm, Broadcom Inc., MediaTek, and NVIDIA; this model reshaped supply chains involving distributors like Avnet and design houses including Cadence Design Systems and Synopsys. The intellectual property framework and royalty arrangements affected strategic decisions by technology conglomerates including Apple Inc., Samsung Electronics, Huawei Technologies and raised policy discussions involving regulators in the European Union, United States Department of Justice, and China. Licensing created opportunities for startups and academic spinouts from institutions such as Imperial College London, ETH Zurich, and Massachusetts Institute of Technology to develop niche processors and accelerators.

Future Developments and Research

Ongoing research directions link ARM-derived architectures to fields pursued at institutions like University of Cambridge, Stanford University, Carnegie Mellon University, and companies including NVIDIA, Google, Apple Inc. and Amazon.com focusing on heterogeneous computing, machine learning accelerators, and security extensions. Emerging trends involve collaboration with foundries such as TSMC and Samsung Electronics on advanced process nodes, integration with chiplet ecosystems advocated by Intel Corporation and consortiums like the Open Compute Project, and interaction with standards bodies and consortia including RISC-V International and IEEE. Academic and industrial partnerships with research labs at Microsoft Research, Google Research, IBM Research, and national laboratories continue to influence low‑power architectures, formal verification projects, and the adoption of ARM-compatible designs in domains from edge computing to exascale systems.

Category:Semiconductor companies Category:Computer processors Category:British companies established in 1990