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Five trends that will shape the future semiconductor technology landscape
Sri Samavedam, senior vice president CMOS technologies at imec

⤴️Trend 1: Moore’s Law will continue, CMOS transistor density scaling will roughly continue to follow Moore’s Law for the next eight to ten years.

⤵️Trend 2: ... but logic performance improvement at fixed power will slow down
Node-to-node performance improvements at fixed power – referred to as Dennard scaling – have slowed down due to the inability to scale supply voltage. Researchers worldwide are looking for ways to compensate for this slow-down and further improve the chip’s performance

🎎Trend 3: More heterogeneous integration, enabled by 3D technologies
We see more and more examples of systems being built through heterogeneous integration leveraging 2.5D or 3D connectivity, like SoC FPGA, HBM, CPU and GPU on the same interposer.

🗜Trend 4: NAND and DRAM being pushed to their limits
Emerging non-volatile memories on the rise. The emerging non-volatile memory market is expected to grow at >50% compound annual growth rate – mainly driven by the demand for embedded magnetic random access memory (MRAM) and standalone phase change memory (PCM).

⌚️Trend 5: Spectacular rise of the edge AI chip industry
With an expected growth of above 100% in the next five years, edge AI is one of the biggest trends in the chip industry. As opposed to cloud-based AI, inference functions are embedded locally on the Internet of Things (IoT) endpoints that reside at the edge of the network, such as cell phones and smart speakers

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🔮🧙
Five trends that will shape the future semiconductor technology landscape
Sri Samavedam, senior vice president CMOS technologies at imec

⤴️Trend 1: Moore’s Law will continue, CMOS transistor density scaling will roughly continue to follow Moore’s Law for the next eight to ten years.

⤵️Trend 2: ... but logic performance improvement at fixed power will slow down
Node-to-node performance improvements at fixed power – referred to as Dennard scaling – have slowed down due to the inability to scale supply voltage. Researchers worldwide are looking for ways to compensate for this slow-down and further improve the chip’s performance

🎎Trend 3: More heterogeneous integration, enabled by 3D technologies
We see more and more examples of systems being built through heterogeneous integration leveraging 2.5D or 3D connectivity, like SoC FPGA, HBM, CPU and GPU on the same interposer.

🗜Trend 4: NAND and DRAM being pushed to their limits
Emerging non-volatile memories on the rise. The emerging non-volatile memory market is expected to grow at >50% compound annual growth rate – mainly driven by the demand for embedded magnetic random access memory (MRAM) and standalone phase change memory (PCM).

⌚️Trend 5: Spectacular rise of the edge AI chip industry
With an expected growth of above 100% in the next five years, edge AI is one of the biggest trends in the chip industry. As opposed to cloud-based AI, inference functions are embedded locally on the Internet of Things (IoT) endpoints that reside at the edge of the network, such as cell phones and smart speakers

Read the full text


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