TOKYO, Japan, March 30, 2019 JST | San Jose, California, U.S.A., March 29, 2019 PST― Renesas Electronics Corporation (TSE: 6723, “Renesas”), a premier supplier of advanced semiconductor solutions, and Integrated Device Technology, Inc. (“IDT”), a leading supplier of analog mixed-signal products, including sensors, connectivity and wireless power, today jointly announced the successful completion of Renesas’ acquisition of IDT, as of March 30, 2019.
https://www.renesas.com/us/en/about/press-room/renesas-completes-acquisition-integrated-device-technology
TOKYO, Japan, February 25, 2017 JST | MILPITAS, Calif., February 24, 2017 PST―Renesas Electronics Corporation (“Renesas”, TSE: 6723), a premier supplier of advanced semiconductor solutions, and Intersil Corporation (“Intersil”, NASDAQ:ISIL), a leading provider of innovative power management and precision analog solutions, today announced the completion of Renesas’ acquisition of Intersil Corporation.
https://www.renesas.com/us/en/about/press-room/renesas-electronics-completes-acquisition-intersil.
Homeales posted this on 14 January
ShareWarm Regards HomeAles
https://www.electronicdesign.com/markets/automotive/article/21157036/electronic-design-automotive-soc-delivers-functional-safety-for-cnn-accelerator-cores-and-asil-d-control
Automotive SoC Brings Functional Safety to CNN Accelerator Cores, ASIL D Control
Mar 9th, 2021
In one of the sessions at the recently concluded International Solid-State Circuits Conference 2021 (ISSCC 2021), Renesas presented a system-on-chip (SoC) that can do all of the main processing tasks for autonomous driving (AD). The device achieves 60.4trillion operations per second (TOPS) and 13.8 TOPS/W from a 12-nm process. These technologies have been applied in the company’s latest automotive SoC, designated R-Car V3U.
Based on the Renesas R-Car Gen 4 architecture, the V3U offers scalability from entry-level applications up to highly automated driving systems. Available for advanced driver-assistance systems (ADAS), the part allows for electronic control units (ECUs) that are air-cooled, which brings advantages in weight and cost.
In addition, since signal processing from objectidentification to the issuing of control instructions constitutes thebulk of the processing load in AD systems, achieving the functional safety equivalent to ASIL D—the strictest safety level defined in the ISO 26262 automotive safety standard—is a notable feature.
With the large computational complexity of convolutionalneural networks (CNNs), designers are looking for platforms that are as fast and energy-efficient as possible. Renesas says the SoC builds on its previous IP, enhancing CNN processing performance by four times compared to theprevious generation.
The R-Car V3U has 2 MB of dedicated memory per CNN accelerator core, for a total of 6 MB of memory. This reduces data transfersbetween external DRAM and the CNN accelerator by more than 90%.
…
The R-Car V3U also supports a wide range of programmable engines. These include DSP for radar processing, a multi-threading computer vision engine for traditional computer-vision algorithms, image signal processing to enhance image quality, and additional hardware accelerators for key algorithms such as dense optical flow, stereo disparity, and object classification.
The R-Car V3U delivers flexible deep-neural-network (DNN) and AI machine-learning functions. Renesas says its architecture is ableto handle any state-of-the-art neural networks for automotive obstacledetection and classification tasks while maintaining 60 TOPS with low power consumption and an air-cooling system.
According to Renesas, the SoC also is optimized for intelligent driver systems such as driver monitoring, park assist, and occupant sensing.
Blockdiagram of the Renesas R-Car V3U SoC. (Source: Renesas)
![https://hotcopper.com.au/data/attachments/3111/3111036-58a59162e3ffa61c57e9a6fe42221647.jpg](https://hotcopper.com.au/data/attachments/3111/3111036-58a59162e3ffa61c57e9a6fe42221647.jpg)
Any more herrings in that tin?