DSP, Micros & Memory


32-bit microcontrollers offer industry's fastest Flash

8 March 2006 DSP, Micros & Memory

Renesas Technology Europe claims its flagship SH708xF series of 32-bit RISC microcontrollers feature the industry's fastest embedded Flash technology with a 12,5 ns access time. The devices operate at 80 MHz with no wait states, yielding over 100 Dhrystone MIPS, the highest CPU performance offered by a Renesas microcontroller. Realtime behaviour is superior, making them well-suited for high performance industrial systems with tight realtime requirements, such as electrical motor drives. The SH708xF series offers both 3,3 V and 5 V versions and include 256 KB or 512 KB zero wait, 12,5 ns access MONOS (metal oxide nitride silicon) Flash and 16 KB or 32 KB RAM. A special feature of the Flash memory is the central nitride, which enables smaller cell construction for faster speed. The 32-bit CPU core has 16 general purpose registers, a five-stage pipeline, a 32 x 32 multiplier and vectored interrupts, as well as a comprehensive range of peripherals.

Hi-Q Electronics, +27 (0)11 894 8083





Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

New PIC MCU family
25 March 2020, Avnet South Africa , DSP, Micros & Memory
In microcontroller (MCU)-based system design, software is often the bottleneck for both time to market and system performance. By offloading many software tasks to hardware, Microchip Technology’s new ...

Read more...
MCUs for new-generation smart objects
26 February 2020, Altron Arrow , DSP, Micros & Memory
STMicroelectronics’ latest STM32H7A3, STM32H7B3, and STM32H7B0 Value Line microcontrollers (MCUs) combine 280 MHz Arm Cortex-M7 core performance, high memory density, and power savings for future generations ...

Read more...
DRAM for memory expansion
26 February 2020, Future Electronics , DSP, Micros & Memory
Cypress Semiconductor’s HyperRAM 2.0 is a high-speed, low-pin-count, self-refresh Dynamic RAM (DRAM) for high-performance embedded systems requiring expansion memory. HyperRAM 2.0 offers HyperBus and ...

Read more...
Bluetooth MCUs with NFC peripheral
26 February 2020, EBV Electrolink , DSP, Micros & Memory
NXP Semiconductors announced the availability of its QN9090 and QN9030 Bluetooth 5 System on Chip (SoC) with hardware compatible options for 802.15.4, multiprotocol RF, and optional NFC technology. The ...

Read more...
EERAM memory solutions retain data at power loss
29 January 2020, Avnet South Africa , DSP, Micros & Memory
Microchip Technology announced a new family of Serial Peripheral Interface (SPI) EERAM memory products that offers system designers up to 25% cost savings over the current serial non-volatile ram (NVRAM) ...

Read more...
32-bit Arm microcontrollers
29 January 2020, Hi-Q Electronics , DSP, Micros & Memory
Renesas Electronics unveiled the Renesas Advanced (RA) family of 32-bit Arm Cortex-M microcontrollers (MCUs). They deliver a combination of optimised performance, security, connectivity, peripheral ...

Read more...
Applications processor for machine learning at the edge
29 January 2020, EBV Electrolink , DSP, Micros & Memory
NXP Semiconductors has expanded its advanced EdgeVerse portfolio with the i.MX 8M Plus application processor – the first i.MX family to integrate a dedicated Neural Processing Unit (NPU) for advanced ...

Read more...
NXP further expands LPC5500 MCU family
25 November 2019, EBV Electrolink , DSP, Micros & Memory
NXP Semiconductors announced the availability of its LPC552x/S2x microcontroller (MCU) family, further extending its efficient LPC5500 MCU series with the second of seven families planned for the series. ...

Read more...
Neuromorphic memory solution for AI
23 October 2019, Altron Arrow , DSP, Micros & Memory
As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery powered and deeply embedded devices are challenged to perform AI functions – like computer vision and ...

Read more...
Neuromorphic memory solution for AI
25 November 2019, Altron Arrow , DSP, Micros & Memory
As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery powered and deeply embedded devices are challenged to perform AI functions – like computer vision and ...

Read more...