Home » Newsroom » Blog » Semiconductor Engineering: More Data Drives Focus On IC Energy Efficiency

Semiconductor Engineering: More Data Drives Focus On IC Energy Efficiency

Apr 8, 2021
Ann Steffora Mutschler
< 1 min read

“On the chip side, it’s an engineering discipline. On the other side are the algorithm experts who understand what the masks are and what they want to do,” said Michael Frank, fellow and system architect at Arteris IP.

To read the entire SemiEngineering article, please click here: https://semiengineering.com/more-data-drives-focus-on-ic-energy-efficiency/

Blogs

Latest Blogs

Blog

Advancing Europe’s Automotive Innovation Ecosystem: Arteris Continues Its Work in the RIGOLETTO Project

As software-defined vehicles reshape the automotive industry, collaborative innovation is becoming essential to developing secure, scalable computing platforms. Learn how Arteris is contributing to the European RIGOLETTO project, helping advance next-generation automotive architectures through expertise in Network-on-Chip technology, RISC-V integration,

Learn more about this

Blog

Semiconductor Engineering: Avoid The Hidden Bottleneck Of Integration At Scale

This Semiconductor Engineering article examines how SoC integration has become a major bottleneck as designs scale in complexity, with growing numbers of IP blocks, registers, and hardware/software interfaces.

Learn more about this

Blog

The AI Journal: Making chiplets work for AI requires more than connectivity

This article explains why building successful AI chiplet architectures requires more than high-speed die-to-die connectivity. It explores how efficient data movement, protocol selection, coherency, and intelligent NoC architecture are critical to maximizing performance, scalability, and energy efficiency in next-generation AI

Learn more about this

Blog

What the Cyber Resilience Act means for the future of chip design

The EU Cyber Resilience Act is reshaping semiconductor security, making cybersecurity, compliance, and lifecycle management core design priorities.

Learn more about this

Blog

Semiconductor Engineering: Reducing Avoidable Memory Trips In HBM Systems

As AI and high-performance SoCs increasingly rely on HBM, memory bandwidth alone is no longer enough to maximize performance. This article discusses why the intelligent data movement and cache efficiency are critical to unlocking the full benefits of HBM-based architectures.

Learn more about this

Blog

Beyond Moore’s Law: Heterogeneous Computing and AI SoCs

As Moore’s Law slows, heterogeneous computing is driving AI, automotive, and data center innovation through specialized compute, chiplets, and advanced interconnects.

Learn more about this