synopsys

Synopsys Acquired Light Tec

Posted on by Techtime

Synopsys has acquired Light Tec, a French-based provider of optical scattering measurements solutions. The acquisition allows Synopsys to combine its optical design software tools with Light Tec’s solutions expands customer access to precision light scattering data for materials and media used in optical systems.

The terms of the deal were not being disclosed. Light scattering data provides designers with accurate information to predict how light reflects and transmits in an optical system. It is used to obtain high-precision simulation results for a wide range of applications such as optical sensors, displays, semiconductors, and luminaires. Light scattering data is also important for demonstrating optical product spectral behavior in photorealistic renderings.

“Light Tec’s optical measurement capabilities provide our customers with robust new tools for high-accuracy optical product simulations and visualizations,” said Dr. Howard Ko, general manager of Synopsys’ Silicon Engineering Group. Synopsys is in a process of expanding its presence in the optics market design tools. In September, 2020, it launched the OptoCompiler platform for photonic integrated circuit (PIC) design.

Unified Electronics and Photonics Design Tool

OptoCompiler is one of the industry’s first unified electronic and photonic design platform that combines industry-proven electronic design tools with optical design tools. Widespread implementation of PICs has, until now, been impeded because many design tools were intended for electronics rather than photonics. As a result, photonic design has largely been the domain of experts who could build their own tools or repurpose a disparate toolset.

OptoCompiler provides support for electronic-photonic co-design to ensure scalable design processes. “With OptoCompiler, we aim to make photonic design as productive as digital,” said Tom Walker, group director of Synopsys’ Photonic Solutions. Synopsys started this move in 2012, when it acquired RSoft Design Group, a provider of photonics design and simulation software headquartered in New York.

Arbe Robotics Selected EV62 Processor from Synopsys for its Imaging Radar

Posted on by Techtime

The next Radar SoC for vehicles will be based on a suite of solutions from Synopsys’ DesignWare IP. Last month the Israeli startup company Arbe Robotics announced it has raised $10 million in a round led by French VC 360 Capital Partners, The company said it will use the proceeds to enhance its imaging technology and to expand its operations in the US and China. With this round, the total funding into the firm stands at $23 million.

Lately the company revealed more data on its future radar device. Arbe Robotics’ imaging radar is designed for advanced driver assistance systems (ADAS) and autonomous vehicles. The imaging radar can sense the environment at a wide 100-degree field of view in high-resolution at all weather conditions, including fog, heavy rain, pitch darkness, and air pollution. It is able to create a detailed image of the road at a range of more than 300 meters (1,000 feet) and capture the size, location, and velocity data of objects surrounding the vehicle in accuracy of 10-30 cm.

Synopsys said that Arbe Robotics selected its DesignWare ARC EM Safety Island, EV6x Embedded Vision Processor with Safety Enhancement Package, Ethernet Quality-of-Service Controller IP, and STAR Memory and STAR Hierarchical System. “Radar chips for autonomous vehicles require both a high level of processing capabilities and integrated safety features, to detect and prevent system failures,” said Kobi Marenko CEO at Arbe Robotics.

Arbe Robotics selected the ARC EM6SI Safety Island because of its integrated self-checking safety monitor, error correcting code (ECC), and programmable watchdog timer. The EV62 Embedded Vision Processor with SEP provides a dual core 512-bit wide SIMD vector DSP, and required functional safety capabilities without sacrificing performance. Both processors feature lockstep capabilities for detection of system failures and runtime faults.