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Gaishi Auto News According to foreign media reports, on September 29, Arm, which was recently announced to be acquired by NVIDIA for $40 billion, announced the launch of new computing solutions to accelerate the safe autonomous decision-making capabilities in automotive and industrial applications. The new IP suite includes the Arm Cortex®-A78AE CPU (Central Processing Unit), Arm Mali™-G78AE GPU (Graphics Processing Unit), and Arm Mali-C71AE ISP (Image Signal Processor), all of which can work in conjunction with supporting software, tools, and system IP, enabling silicon chip suppliers and OEMs to design automated applications. These products can be applied in a range of applications, making smart manufacturing smarter and more configurable, and can also be used to improve ADAS and digital automotive cockpit applications.
(Image Source: Arm)
The Cortex-A78AE, Mali-G78AE, and Mali-C71AE are special versions of the existing products Cortex-A78, Mali-G78, and Mali-C71.
Cortex-A78AE: High Performance for Safety-Critical Applications
(Image Source: Arm)
The new Arm Cortex-A78AE CPU is Arm’s latest, highest-performance, and most secure CPU, capable of running various complex workloads for automated applications such as mobile robotics and autonomous transportation.
The features of this CPU include: 1. A 30% performance improvement compared to the previous generation CPU; 2. Support for functions that meet relevant automotive and industrial functional safety standards, such as ISO 26262, IEC 61508, and ASIL D / SIL 3; 3. Enhanced dual-locking functionality (mixed mode) to maximize flexibility. The mixed mode is designed to support applications targeting lower-level ASIL requirements without compromising performance and allows the same SoC computing architecture to be deployed across different domain controllers.
Mali-G78AE: Redefining Embedded GPU Security with Flexible Partitioning
(Image Source: Arm)
The Mali is the world’s leading GPU, and the new Mali-G78AE is Arm’s first GPU designed with security in mind, providing a rich user experience and heterogeneous computing capabilities for safety-critical automated applications.
The new Mali-G78AE features: 1. Flexible partitioning, with up to four completely independent partitions that can handle different workloads for safety use cases; 2. GPU resources can also be used for safety human-machine interfaces or for heterogeneous computing applications in autonomous driving systems. For example, infotainment systems, dashboards meeting ASIL B requirements, and driver monitoring systems can now run GPU resources simultaneously and independently using separated hardware.
Mali-C71AE: Enhanced ISP Security
(Image Source: Arm)
Autonomous driving applications need to understand their surroundings, typically through cameras operating under various lighting conditions. To support a wide range of visual applications in automotive and industrial settings, the Mali-C71AE can provide: 1. The flexibility required for human and machine vision applications (such as production line monitoring and ADAS camera systems); 2. Enhanced safety features that support achieving ASIL B / SIL2 safety functions; 3. Support for four real-time cameras or 16 buffered cameras, with a throughput of 1.2 gigapixels/second.
Autonomous driving systems are implementing an increasing number of software-defined functions, and Arm is accelerating the development of software to fully leverage the benefits brought by such new technologies through projects like Cassini, aiming to lay the foundation for adopting local cloud software computing paradigms across edge computing. Additionally, Arm is collaborating with multiple open-source communities and professional software vendors to support various autonomous driving software ecosystems, leveraging established local cloud ecosystems and other innovative technologies to drive research and development, providing support for the functionalities required in autonomous driving applications.
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