tag: Keysight EDA

The One Bit Problem That Can Break a System
By Ann Mutschler - 02 Apr, 2026 - Comments: 2

Key Takeaways: Bit flipping is no longer a rare reliability issue but a systemic risk driven by shrinking process nodes, higher clock speeds, lower voltages, and radiation exposure, leading to silent data corruption and potential system failure. The same mechanisms that cause accidental bit flips can be deliberately exploited through techniques such as clock, voltage, laser, and rowhamm... » 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 Design Reshapes Data Management
By Ann Mutschler - 16 Mar, 2026 - Comments: 0

Key takeaways: Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and inference workloads grow, data movement, congestion, and energy efficiency become the dominant challenges, often surpassing raw compute capability. Proprietary and comple... » read more

CPO Is Extending The Limits Of What’s Possible In AI Data Centers
By Ann Mutschler - 12 Mar, 2026 - Comments: 0

Key Takeaways I/O architecture must be co-designed with compute from day one. Partitioning SoCs into heterogeneous chiplets (compute, EIC, PIC, lasers) directly affects power delivery, floor-planning, interconnect topology, and system scalability. Successful CPO designs require architects to think in multi-physics terms, balancing electrical signaling, thermal stability, optical beha... » 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

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

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

Minimum Energy Per Query
By Brian Bailey - 12 Feb, 2026 - Comments: 1

Key Takeaways Extracting heat from a chip faster is a short-term fix to a bigger problem. The longer-term challenge is how to reduce the amount of energy used per query. Data movement, guardbanding, and software inefficiency are key targets for the future. Heat is a serious problem within AI chips, and it is limiting how much processing can be done. The solution is either to... » read more

Securing Hardware For The Quantum Era
By Ann Mutschler - 05 Feb, 2026 - Comments: 0

Key Takeaways: Quantum threats to security are already real. Adversaries are already harvesting data that will be decrypted later by quantum computers. Quantum computers capable of breaking RSA and ECC may arrive as early as next year. Asymmetric encryption algorithms like RSA and ECC will become inadequate against quantum threats, while symmetric encryption (such as AES) is less vul... » read more

Will 2026 Be Dominated By AI?
By Brian Bailey - 15 Jan, 2026 - Comments: 0

Many opportunities and problems became highly interlinked in 2025, fueled by the historic growth in everything AI. But how close are we coming to breaking points, and what are people doing to mitigate them? That is the story that will unfold this year. AI's penetration into an increasing number of workloads is placing almost quadratic demands on compute, memory, interconnect, and the archite... » read more

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