This page was machine-translated and may differ from the original. View original
64bit Arm Cortex-R82 with Linux support
Empowering storage controllers with processing power
The number of connected devices in the world today is uncountable, and the amount of data produced is incomparable to that of the past. These numbers and volumes are continuously increasing, and it is impossible to process them all in the cloud.
On the 9th, Arm held an online press conference and announced the Cortex-R82 processor, which provides processing power to storage devices.

The closer data processing is to the data, the higher the efficiency. The 64-bit Cortex-R82 supporting Linux is optimized for computational storage architecture to accelerate the development of next-generation storage devices.
Computational storage is a structure that processes data in a storage device, reducing the amount of data that must be moved between the storage device and the processor.
Traditional storage controllers perform data storage and access tasks in bare-metal and RTOS environments. In contrast, the Cortex-R82 allows various OSs to run directly on the storage controller through its memory management unit (MMU) option.
The Cortex-R82 delivers up to twice the performance of its predecessor, the Cortex-R8, depending on the task, and can access up to 1TB of DRAM.
Processing data on storage devices enables parallel computing on the storage device, improves scalability, eliminates the need to move large files, reduces latency, and enhances security.
Neil Werdmuller, Arm's director of storage solutions, explained in the conference that these benefits would be useful in areas such as transportation where storage devices are in motion, or video editing that requires processing large amounts of data.
The Cortex-R82 can be tailored to the needs of storage devices, is supported by the Arm cloud native software ecosystem, and is also highly secure with Arm TrustZone technology.
Empowering storage controllers with processing power
The number of connected devices in the world today is uncountable, and the amount of data produced is incomparable to that of the past. These numbers and volumes are continuously increasing, and it is impossible to process them all in the cloud.
On the 9th, Arm held an online press conference and announced the Cortex-R82 processor, which provides processing power to storage devices.

▲ Features of Cortex-R82 [Image = Arm]
The closer data processing is to the data, the higher the efficiency. The 64-bit Cortex-R82 supporting Linux is optimized for computational storage architecture to accelerate the development of next-generation storage devices.
Computational storage is a structure that processes data in a storage device, reducing the amount of data that must be moved between the storage device and the processor.
Traditional storage controllers perform data storage and access tasks in bare-metal and RTOS environments. In contrast, the Cortex-R82 allows various OSs to run directly on the storage controller through its memory management unit (MMU) option.
The Cortex-R82 delivers up to twice the performance of its predecessor, the Cortex-R8, depending on the task, and can access up to 1TB of DRAM.
Processing data on storage devices enables parallel computing on the storage device, improves scalability, eliminates the need to move large files, reduces latency, and enhances security.
Neil Werdmuller, Arm's director of storage solutions, explained in the conference that these benefits would be useful in areas such as transportation where storage devices are in motion, or video editing that requires processing large amounts of data.
The Cortex-R82 can be tailored to the needs of storage devices, is supported by the Arm cloud native software ecosystem, and is also highly secure with Arm TrustZone technology.
본 기사에 대한 정정·반론·추후보도 청구는 보도 청구 안내를, 그간 게재된 보도문은 정정·반론보도 모아보기를 참고해 주세요.














