Renesas Electronics Corporation announced RZ/G2L MPUs, allowing enhanced processing for an extensive variety of AI applications. The RZ/G2L group of 64-bit MPUs includes three new MPU models featuring Arm Cortex-A55, and an optional Cortex-M33 core. These are RZ/G2L, RZ/G2LC, and RZ/G2UL MPUs. The Cortex-A55 CPU core typically delivers approximately 20 percent improved processing performance compared with the previous Cortex-A53 core, and according to Renesas, is around six times faster in “essential processing for AI applications”.
The company already has four mid to high-end design level MPUs including RZ/G2E, RZ/G2N, RZ/G2M, and RZ/G2H, with combinations of Cortex-A53 and Cortex-A57 cores. The new RZ/G2L group of three MPUs forms the entry-level design with Cortex-A55. Hence, the seven MPU models together provide scalability from entry-level to high-end design.
- Up to 2x Cortex-A55 cores
- Cortex-M33 core
- Camera interface (MIPI-CSI)
- Display interface (Parallel-IF)
- USB2.0 interface 2ch, SD interface 2ch
- CAN interface (CAN-FD)
- 2x Gigabit Ethernet
- DDR4 or DDR3L memory interface with memory error detection/correction (ECC)
- BGA Package
The RZ/G2L and RZ/G2LC MPU have one or two Cortex-A55 cores working at 1.2 GHz, whereas the RZ/G2UL MPU has a single Cortex-A55 core working at 1GHz. The Cortex-M33 allows real-time processing of like sensor data collection without the need for additional external devices in order to reduce the overall cost of the system. The Cortex-M33 is optional for RZ/G2UL.
The 3D Graphics engine includes Arm Mali-G52 GPU in RZ/G2L and RZ/G2LC dual-core MPUs along with the camera and display interface with applications in industrial HMI, home appliances, and security cameras. Renesas RZ/G2L additionally has a video codec for H.264 encoding/decoding, so it is also suitable for Intercom, doorbells, POS terminals, and other AI image processing applications.
The RZ/G2UL single-core MPU comes with a simple LCD controller along with similar interfaces to the dual-core MPUs. This makes it suitable for applications such as entry-class industrial gateway control and embedded devices with Simple GUI capabilities. The camera interface only supports MIPI serial connection, whereas the display interface operates with parallel-IF.
The company says “MPUs have a Verified Linux Package (VLP) featuring the Civil Infrastructure Platform (CIP) Linux, an industrial-grade Linux offering guaranteed support and security maintenance for more than 10 years, is available. This makes it possible to reduce future maintenance costs. The support for security functions means that customers can also confidently adopt the RZ/G2L Group MPUs for industrial applications requiring high reliability and extended service life.”
The company also plans future pin-compatible parts integrating the DRP-AI accelerator already found in RZ/V2M Cortex-A53 processor. The RZ/G2LC and RZ/G2UL come with a 13 mm square BGA package, whereas the RG/G2L comes with a 15mm square as well as a 21 mm square package.
The reference board for RZ/G2L group has a SMARC v2.1 Module board along with the configuration of the carrier board. The evaluation of each device by done by exchanging SOMs.
- Processor: RZ/G2L / RZ/G2LC / RZ/G2UL
- Main Memory: 2GB DDR4 (1GB x2)
- QSPI NOR FLASH: 64MB
- eMMC Memory: 64GB
- External Storage: micro SD x1
- A/D Converter Interface x6
- JTAG connector
- Gigabit Ethernet x2
- USB2.0 x 2ch (OTG x1ch, Host x1ch)
- MIPI CSI-2 Camera connector (can connect to Google Coral
- Micro HDMI (output) connector
- CAN-FD x2
- External Storage: micro SD x1
- Audio Line-in x1
- Audio Line out x1
- PMOD x2
- USB-Type C for Power Input
The sample shipments of the MPUs have started on 19th January 2021. The mass production is expected to start at beginning of August 2021. The company is accepting reservations for the evaluation boards for the RZ/G2L group of MPUs. For more information visit the announcement and the product pages of RZ/G2L, RZ/G2LC, and RZ/G2UL MPUs.
Saumitra Jagdale is a Backend Developer, Freelance Technical Author, Global AI Ambassador (SwissCognitive), Open-source Contributor in Python projects, Leader of Tensorflow Community India and Passionate AI/ML Enthusiast