tag: Arteris

Assuring Comprehensive Security Coverage In Hardware Design
By Arteris - 29 Apr, 2026 - Comments: 0

Is your hardware design prepared to withstand today’s complex threat landscape? Verifying the effectiveness of security functionality and protections is essential to safeguarding your designs. By adopting a systematic framework and measuring coverage throughout the pre-silicon development cycle, you can proactively identify vulnerabilities and strengthen your hardware’s resilience. Downl... » read more

Chip Industry Week In Review
By The SE Staff - 24 Apr, 2026 - Comments: 0

Deals Marvell acquired Polariton Technologies, a Swiss developer of plasmonics-based silicon photonics devices. Onto Innovation is partnering with Rigaku, combining Onto’s analysis software with Rigaku’s CD-SAXS platform for advanced semiconductor process control. Onto also agreed to acquire a 27% stake in Rigaku for about $710M. Tesla plans to use Intel’s 14A process for its T... » read more

A New Era For Co-Processing
By Brian Bailey - 09 Apr, 2026 - Comments: 0

Key Takeaways: There is no single processor capable of executing everything efficiently, meaning that multiple processors are required. Maximum efficiency is gained by minimizing the movement of data. Architects must maximize efficiency for today's workloads, while also adding enough flexibility to handle tomorrow's. New processor architectures are rapidly evolving thanks to... » read more

Chip Industry Week In Review
By The SE Staff - 27 Mar, 2026 - Comments: 0

Arm uncorked its first internally developed CPU chip this week, aimed squarely at the agentic AI data center market. Arm CEO Rene Haas (pictured) emphasized the CPU's power efficiency and performance/watt compared to other AI processor architectures. "We are obsessed with efficiency, and if you think about one of the biggest appeals that Arm has had over the years, it is power profile," he ... » read more

Memory Wall Gets Higher
By Brian Bailey - 26 Mar, 2026 - Comments: 1

Key Takeaways An increasing percentage of the chip area is consumed by the same amount of SRAM for each node shrink. The problem is not limited to leading-edge AI, as it will eventually impact even small MCUs and MPUs. Architectural changes may be required. Stacking SRAM chiplets on logic is possible but expensive. SRAM is a vital piece of all computing systems, but its fail... » read more

Importance Of Hardware Security Verification In Pre-Silicon Design
By John Elliott - 26 Mar, 2026 - Comments: 0

Today’s semiconductor chips run cloud infrastructure, automotive controllers, industrial robots, and edge AI processors, so effectively the entire technology market. Engineers must now ensure that silicon itself defends against attacks, protects embedded secrets, and complies with increasingly stringent global security standards, such as ISO/SAE 21434 and the EU Cyber Resilience Act. Regulato... » read more

Data Boom Puts Pressure On NoCs, Fabrics
By Liz Allan - 26 Mar, 2026 - Comments: 0

Key Takeaways: NoC challenges, such as wiring congestion, timing closure, and performance, must be considered in tandem with topology and placement. Topologies can be customized to meet an application’s specific data flow needs, with a system containing multiple topologies to suit different data or zones. What is challenging for one type of system, such as an SoC, switch, or AI chi... » read more

AI Won’t Kill Verification IP, But It Will Redefine It
By Ann Mutschler - 26 Mar, 2026 - Comments: 0

Key Takeaways AI will enhance, not replace, verification IP by automating test generation and debug. Verification IP’s core value will increasingly lie in trust, accountability, and system-level realism, especially as designs become more complex, multi-die, and security-sensitive. AI shifts verification bottlenecks from execution to specification quality, raising expectations for c... » read more

AI Power on the Edge
By Brian Bailey - 12 Mar, 2026 - Comments: 0

Key takeaways Power and thermal become primary design considerations, not just optimizations. Hardware architectures need to be developed from the ground up. Hardware/software/model co-development is essential. Implementing AI on the edge is driven by a different set of metrics than training or even inference in the cloud. It makes power a first-class citizen, if not the mos... » read more

AI Energy Gap And Chiplets: Why Data Movement Matters
By Ashley Stevens - 26 Feb, 2026 - Comments: 0

At the recent Chiplet Summit 2026 preconference tutorial, the panel session, “Best Way to Make Chiplets Work,” brought together leaders from across the semiconductor ecosystem to tackle one of the most pressing challenges in advanced system design: how do we make heterogeneous, multi-die systems operate as a cohesive, energy-efficient whole for AI? While much discussion focused on st... » read more

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