Synopsys and SiMa.ai have joined forces to create a complete answer designed to speed up the event of workload-specific silicon and software program wanted to energy synthetic intelligence (AI)-enabled options in next-generation cars. This answer will mix Synopsys’ digital design automation (EDA), automotive-grade IP, and {hardware} verification instruments with SiMa.ai’s machine studying accelerator (MLA) IP and ML software program stack software growth atmosphere for max customisation of IP, subsystems, chiplets, and SoCs.
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Focusing on Key Automotive Purposes
The businesses famous that “Superior Driver Help Techniques (ADAS) and In-vehicle Infotainment (IVI) are rising as key differentiators for automakers with an amazing variety in functions.” The answer targets key automotive functions akin to ADAS and IVI, that are reliant on synthetic intelligence on the edge to ship real-time, multi-modal in-car experiences. Nonetheless, present software-defined car (SDV) architectures are usually not outfitted to assist the range of functions and the required compute, efficiency, and reliability.
The businesses imagine that Automakers want AI-ready, workload-verified, power-efficient software program architectures to compete on this new atmosphere, together with hardware-software co-design options, from silicon–to–methods, to cut back growth prices and de-risk start-of-production timelines.
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Synopsys and SiMa.ai Built-in Resolution
Synopsys, working with greater than 50 OEMs and Tier 1 suppliers, is utilising Synopsys digital prototyping applied sciences and over 1,000 digital fashions developed from SoC IP to board-level ICs and ASICs. SiMa.ai is a software-centric firm specialising in growing high-performance, power-efficient machine studying system-on-chip (MLSoC) options for the embedded edge, in keeping with the official launch.
The built-in Synopsys and SiMa.ai answer will likely be designed to allow:
- Early Structure Exploration: Assists automotive engineers in optimising efficiency, energy, and software program necessities for customized SoC growth.
- Shift-Left Software program Improvement: Streamlines hardware-software integration with instruments like digital prototyping and emulation to hurry up time to market.
- Price-effective and differentiated in-vehicle experiences: Offers silicon-proven constructing blocks for high-performance automotive ML SoCs, lowering growth prices.
- Steady upgradeability of automotive edge AI options: Helps steady upgrades and over-the-air updates to maintain tempo with evolving AI calls for.
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Smarter and Safer Autos By way of AI Innovation
“Our collaboration with SiMa.ai will present automotive corporations a big step ahead in modernising their {hardware}/software program co-design processes to fulfill demand for superior, in-car experiences which can be more and more expensive and sophisticated to ship,” mentioned Ravi Subramanian, head of the Synopsys Product Administration and Markets Group. “Our management in structure exploration, IP, and hardware-assisted verification, mixed with SiMa.ai’s revolutionary efficiency and power-optimized ML capabilities, will allow prospects to distinguish whereas persevering with to fulfill stringent price issues and {industry} requirements.”
“Collaborating carefully with Synopsys permits us to supply automotive producers with full, optimized options that speed up their growth cycles,” mentioned Krishna Rangasayee, Founder and CEO, SiMa.ai. “The SiMa.ai MLSoC platform was designed for very best efficiency at lowest energy consumption throughout a various set of functions—that was the lacking piece within the puzzle to make future automobiles a lot smarter and safer than what now we have right this moment. When mixed with Synopsys’ industry-leading IP and software program, we’ll ship a strong basis for innovation throughout auto OEMs in autonomous driving and in-vehicle experiences.”
