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Synopsys claims new tools help design automobiles, data centers quicker

A guy goes through the Synopsys exhibit at the Black Hat information security conference in Las Vegas, Nevada, U.S. on July 26, 2017

SANTA CLARA, California, March 20 (mod1s) - Synopsys on Wednesday demonstrated a suite of software tools aimed to make it simpler and quicker to build vehicles, data centers and other huge systems that depend on semiconductors.
Synopsys is one of the primary players in producing software for designing the chips themselves, allowing businesses like Nvidia (NVDA.O), opens new tab determine how to arrange hundreds of billions of transistors on little squares of silicon.
But with its $35 billion deal to purchase engineering software business Ansys (ANSS.O), opens new tab, Synopsys intends to also assist clients build the goods and systems where those chips would finally end up. At its annual developer conference in Santa Clara, California on Wednesday, Synopsys Chief Executive Sassine Ghazi detailed how some clients are accomplishing that.

Tesla (TSLA.O), opens new tab, for example, utilizes a virtual simulation of a bespoke chip to start creating the software for that chip and testing how the software will drive its vehicles long before any actual thing has been built. In an interview, Sassine indicated more automobile clients would follow suit, but he refused to identify them.
"Tesla was a pioneer in looking at the car as a software-defined vehicle," Ghazi told Reuters. "There are a number of European and Japanese OEMs that are going down that path, and the Chinese are racing toward it as well."

Synopsys also outlined how the operators of huge data centers that power artificial intelligence systems such as copilots or chatbots can simulate how that software will run across tens of thousands of chips - and how much heat the chips will give off during that process, which then helps determine how much cooling equipment will be needed.
"The speed at which AI models can evolve and produce outcomes is limited by how quickly we can evolve the supercomputing architecture and the hardware to meet this new challenge," Reynold D'Sa, corporate vice president of silicon, cloud hardware and infrastructure at Microsoft (MSFT.O), opens new tab said in a statement.


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