Renesas RA8D1 is a new Arm Cortex-M85 microcontroller with graphics capabilities such as a 2D graphics accelerator and MIPI DSI and parallel RGB interfaces to connect an LCD that will make the chip suitable for HMI applications. Renesas introduced the world’s first Arm Cortex-M85 microcontroller with the RA8M1 just a few weeks ago, but the MCU has limited multimedia capabilities with just a 16-bit Capture Engine Unit (CEU) interface to connect a camera. The second member of the Renesas RA8 family fills this void with the RA8D1 microcontroller adding an LCD controller and a 2D graphics drawing engine on top of the CEU camera interface. Renesas RA8D1 specifications: MCU core – Arm Cortex-M85 clocked at 480 MHz with Helium MVE (M-Profile Vector Extension) with 32KB I/D caches, 12KB data flash Memory & Storage 1MB SRAM with TCM (128KB) 1MB to 2MB Flash memory 32-bit external SDRAM interface Display interfaces and […]
Renesas’ first 32-bit RISC-V CPU core delivers up to 3.27 CoreMark/MHz
Renesas has recently announced its first homegrown 32-bit RISC-V CPU core based on the open-standard instruction set architecture (ISA). This CPU core is compatible with Renesas’ e2 studio IDE and supports other third-party IDEs for RISC-V MCUs. According to Renesas, the CPU achieved a remarkable 3.27 CoreMark/MHz performance outperforming similar RISC-V architectures in this category. RISC-V, an open ISA, is rapidly gaining popularity in the semiconductor industry. Many MCU providers have formed joint investment alliances to expedite their RISC-V product development. Previously, Renesas released two CPUs developed by Andes Technology Corp: the R9A02G020, an ASSP EASY MCU for Motor Control, and the R9A06G150, an ASSP EASY MCU for Voice HMI, both based on RISC-V. Additionally, they have introduced the RZ/Five, a Linux-capable 64-bit RISC-V microprocessor family, and RH850/U2B, an automotive System on Chip (SoC). However, with the release of their new CPU, Renesas independently enters the RISC-V market, highlighting their […]
Renesas RZ/G2UL Arm Cortex-A55/Cortex-M33 industrial system-on-module sells for as low as $17 in volume
MYiR Tech MYC-YG2UL is a tiny (39x37mm) system-on-module based on the Renesas RZ/G2UL SoC with a 1GHz Arm Cortex-A55 application core and 200MHz real-time Cortex-M33 cores designed for industrial HMIs and gateways, and the company has also launched the MYD-YG2UL development board with the module and interfaces such dual gigabit Ethernet, RS485, RS232, CAN Bus, and more. MYC-YG2UL Renesas RZ/G2UL CPU module Specifications: SoC – Renesas RZ/G2UL (Type-I) CPU – Arm Cortex-A55 processor at up to 1 GHz MCU – Arm Cortex-M33 clocked at up to 200 MHz GPU – 2D graphics (Image Scaling Unit) System Memory – 512MB DDR3L Storage – 4GB eMMC flash, 4KB EEPROM 1.0mm pitch 140-pin castellated holes and 50-pin LGA Display – RGB LCD interface Camera – MIPI CSI interface Networking – 2x RGMII (gigabit Ethernet) USB – 2x USB 2.0 Analog – 2x ADC Other I/Os – 5x SCIF, 2x SCI, 2x CAN FD, 4x […]
Renesas RA8M1 is the world’s first Arm Cortex-M85 microcontroller
Renesas RA8M1 is an up to 480 MHz Arm Cortex-M85 microcontroller with Arm Helium technology to improve DSP and machine learning performance on Cortex-M microcontrollers, and delivering up to 6.39 CoreMark/MHz performance using EEMBC’s CoreMark, or over 3,000 CoreMark at 480 MHz. The Arm Cortex-M85 core was first unveiled in April 2022 as a faster Cortex-M7 alternative and new Arm Helium technology that delivers machine learning performance similar to Cortex-M55 application processor. We had some teases about the upcoming Renesas Cortex-M85 in the last year, but the world’s first Cortex-M85 microcontroller is finally here. Renesas RA8M1 key features and specifications: MCU core – Arm Cortex-M85 clocked at 240 to 480 MHz with Helium MVE (M-Profile Vector Extension) with 32KB I/D Caches and 12KB Data Flash Memory & Storage 1MB SRAM with TCM 1MB to 2MB Flash memory External memory interfaces (CS/SDRAM) Camera – 16-bit Capture Engine Unit (CEU) interface Communication […]
Toshiba “MH3 Group (2)” Arm Cortex-M3 MCU supports firmware updates without interrupting operation
Toshiba “MH3 Group (2)” Arm Cortex-M3 microcontrollers come with a 1MB flash memory partitioned into two 512KB partitions to enable firmware updates without interrupting microcontroller operation using an area swap function to rotate to the new firmware seamlessly. The new M3H Group (2) builds upon the M3H Group(1) by expanding the code flash memory up to 1MB, and the RAM capacity from 66KB to 130KB. Both are part of the “TXZ+ Family Advanced Class” manufactured with a 40nm process, and equipped with a 120 MHz Arm Cortex-M3 core as well as various interface and motor control options such as UART, I2C, Advanced Encoder Input Circuit, and Advanced Programmable Motor Control Circuit. Toshiba MH3 Group 2 key features and specifications: CPU core – Arm Cortex-M3 @ 120 MHz with memory protection unit (MPU) Internal oscillator – 10MHz (+/-1%) Internal memory Code flash memory – 512KB to 1024KB (program/erase cycles: up to […]
Renesas RZ/T2L Arm Cortex-R52 microprocessor embeds EtherCAT controller
Renesas RZ/T2L is a cost-optimized single-core Arm Cortex-R52 microprocessor (MPU) with an EtherCAT controller based on the same architecture as the higher-end Renesas RZ/T2M dual-core Cortex-R52 processor introduced last year, but at about half the size. The new MPU enables high-speed and accurate real-time processing performance required for AC servo drives, inverters, industrial robots, collaborative robots, etc.. used in factory automation (FA), medical equipment, building automation (BA), and other sectors and applications where EtherCAT is being adopted. Renesas RZ/T2L key features and specifications: CPU – Arm Cortex-R52 clocked at up to 800MHz with 16KB L1 I/D cache, 512KB ATCM, 64KB BTCM Memory – 1MB RAM with ECC Trigonometric function accelerator Ethernet EtherCAT slave controller: 3x ports 1x Ethernet MAC Motor control 2-channel encoder interface with support for A-format, EnDat2.2, BiSS-C, HIPERFACE DSL, FA-CODER Functional safety (FuSa) software up to SIL3 Motor current loop < 1µs 3-phase complementary PWM output for […]
Renesas introduces 100 MHz RA4E2 and 200 MHz RA6E2 Arm Cortex-M33 MCUs for wearables, sensors, appliances
Renesas Electronics has added two new groups to its 32-bit RA family of microcontrollers (MCUs) with the 100 MHz RA4E2 and 200 MHz RA6E2 Arm Cortex-M33 microcontrollers designed for “high-performance applications” in small packages such as sensing, gaming, wearables, and appliances. The new microcontrollers are equipped with 40 KB SRAM, 128 KB or 256 KB flash, and integrate various on-chip interfaces such as CAN FD, USB, QSPI, SSI, and I3C interfaces to offer an easy upgrade path for products based on other members of the Renesas RA Family. Renesas RA4E2 MCU group Both the RA4E2 and the RA6E2 are the most cost-effective microcontroller groups of the RA family with integrated CAN FD, with the RA4E2 group especially well-suited to cost-sensitive applications and other systems requiring relatively high performance, low power consumption, and/or small package size. RA4E2 key features: CPU – Arm Cortex-M33 core with TrustZone @ up to 100 MHz […]
Aspinity AB2 AML100 Arduino Shield supports ultra-low-power analog machine learning
Aspinity AB2 AML100 is an Arduino Shield based on the company’s AML100 analog machine learning processor that reduces power consumption by 95 percent compared to equivalent digital ML processors, and the shield works with Renesas Quick-Connect IoT platform or other development platforms with Arduino Uno Rev3 headers. The AML100 analog machine learning processor is said to consume just 15µA for sensor interfacing, signal processing, and decision-making and operates completely within the analog domain offloading most of the work from the microcontroller side that can stay its lowest power state until an event/anomaly is detected. Aspinity AB2 AML100 Arduino Shield specifications: ML chip – Aspinity AML100 analog machine learning chip Software programmable analogML core with an array of configurable analog blocks (CABs) with non-volatile memory and analog signal processing Processes natively analog data Near-zero power for inference and events detection Consumes <20µA when always-sensing Reduces analog data by 100x Supports up […]