Collaboration on DTCO offers IBM a better way to evaluate combinations of transistor architectures, materials and other process technology innovations using design metrics, before real wafers become available for physical experimentation.
Faster PHYs needed to shift vast amounts of data around giant data centres.
The rapid growth of interest in machine learning and artificial intelligence has prompted Synopsys to bring all its AI IP together in a microsite and brochure.
In a panel session at June's DAC, Synopsys customers talked about some of the ways they make verification more efficient and bring technologies such as formal, emulation, and simulation together.
FD-SOI is gradually building up a presence as a technology not just for low-power but RF and power integration.
Early-access customers talked about their experiences with the Synopsys Fusion-based flow in a panel session at the DAC.
Machine learning is gradually moving into implementation and verification tools for EDA.
What does it take to build data converter IP that will meet the reliability and functional safety requirements of the automotive industry?
DAC 2018 will see Synopsys focusing on close links with foundry partners, as well as exploring ways to exploit the potential of machine learning, in both SoC architectures and SoC design flows.
Synopsys applies AI to speed PrimeTIme, as part of wider strategy to exploit machine learning to ease chip design
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