tag: Synopsys

Scale Up, Scale Out Get a New Partner
By Bryon Moyer - 12 Mar, 2026 - Comments: 0

Key Takeaways: Three AI data center scaling strategies are scale-up, scale-out, and scale-across. Scale-up is within a rack; scale-out is between racks; scale-across is between data centers. Each of the three uses a different interconnect strategy to optimize either latency or jitter. As today’s data center workloads — especially for AI and HPC — outgrow the physical, ... » read more

Customizing Foundation IP For Ultra-Low-Voltage Designs
By Daryl Seitzer - 12 Mar, 2026 - Comments: 0

By Daryl Seitzer, Andrew Appleby, and Mohammad Tanveer Building a new system-on-chip (SoC) starts with assembling the right foundational elements—pre‑verified IP for logic, memory, I/O, and other essential functions. Standard IP solutions typically address most common design needs, but some projects call for more specialized approaches, especially when innovation is critical or when t... » read more

Enabling Seamless Monitoring, Test, And Repair In Multi-Die Designs
By Yervant Zorian - 10 Mar, 2026 - Comments: 0

By Yervant Zorian and Sandeep Kumar Goel Anyone who follows the semiconductor industry knows that the accelerating performance, scale and energy efficiency demands of the AI revolution are outpacing the advances achievable by simply pushing the chip performance of monolithic, single-die designs. Multi-die design using 2.5D and 3D technologies has emerged as a necessity to keep the pace of in... » read more

Detecting Chemical Variability At Advanced Nodes
By Gregory Haley - 10 Mar, 2026 - Comments: 2

Key Takeaways Yield loss is increasingly driven by molecular variability in thin films, interfaces, and contamination rather than visible defects. Reliability issues often appear first as parametric drift or margin erosion under workload and thermal stress. Detection requires correlating molecular metrology, embedded electrical telemetry, and AI-driven wafer inspection. As s... » read more

Digital Twins: The Cloud’s The Limit
By Ed Sperling - 10 Mar, 2026 - Comments: 1

Key Takeaways Digital twins are gaining traction as a way of testing different options at every step of the design-through-manufacturing flow. AI can be used to glue together disparate data types in multi-physics simulations. The promise of digital twins is huge, but multiple challenges need to be solved before it can live up to its potential. Digital twin technology is draw... » read more

Chip Industry Week In Review
By The SE Staff - 06 Mar, 2026 - Comments: 0

Think tank IAPS' report on AI integrity attacks contends that advanced AI systems must be protected from hidden tampering, backdoors, or unauthorized changes that could alter their behavior or outputs, especially when AI adoption is scaling rapidly, with over 60% of the federal workforce now using AI every day. Geopolitics The U.S. government has drafted new export rules that may give W... » read more

25G Ethernet: Scaling Data Movement For ADAS, Industry 4.0, And 5G Systems
By Abhinav Kothiala - 05 Mar, 2026 - Comments: 0

The automotive and industrial markets are undergoing rapid transformation, driven by Advanced Driver Assistance Systems (ADAS) adoption, Industry 4.0 automation, and the rollout of 5G infrastructure. These trends are driving an unprecedented demand for edge AI capabilities and connectivity, with the global Edge AI IC market projected to grow at a 34.7% CAGR and reach $340B by 2034 [1]. Traditio... » read more

Auto Security Accelerates With Standardization And Certified Silicon
By Ann Mutschler - 05 Mar, 2026 - Comments: 0

Key Takeaways The automotive sector is actively developing and delivering secure parts and features ranging from secure boot to encrypted data and in-network protections. The cost of a breach can involve everything from ransomware to liability and/or damage to a brand. New standards are being introduced to ensure security, and technology developers are integrating cybersecurity requi... » read more

Limiting AI/ML Tools To Ensure Physical AI Safety, Security
By Liz Allan - 05 Mar, 2026 - Comments: 0

Key Takeaways: AI-based tools can help monitor physical AI systems and LLMs, but human oversight is still needed to avoid false positives, bias, and other anomalies. For autonomous vehicles and robots, edge case scenarios and understanding human values are weak points, especially as moral and social values change over time. AI tools are growing and becoming increasingly helpful for c... » read more

New Automotive Architectures Are Shaking Up Processor And Memory Choices
By Ann Mutschler - 05 Mar, 2026 - Comments: 0

Key Takeaways Assisted and autonomous driving require more data from more sensors, and much faster processing of some of that data. The shift to software-defined vehicles and centralized intelligence makes it easier to identify where the most advanced processors and memories are required, and where older and less expensive technologies can be deployed. Technologies that were largely ... » read more

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