Blog Review: Dec. 24


Cadence's Jakob Engblom shares highlights from the recent SDV Europe conference, including why software-defined vehicles will require much closer, faster collaboration between suppliers and customers, with virtualization for software development and testing taking on a key role, as well as API questions and tire sensors. Synopsys' Tom De Schutter and Marc Serughetti predict that new cars wil... » read more

Software-Defined Hardware-Assisted Verification: Scaling To Quadrillions Of Cycles For Verification In The AI Era


The semiconductor industry is at an inflection point. The convergence of advanced multi-die architectures, AI-driven workloads, and rapidly evolving interface protocols is creating unprecedented design complexity. At the same time, market pressures demand faster time-to-market and higher performance, leaving little room for error. From data center to edge developments, users have to run softwar... » read more

When To Move To Multi-Die Assemblies


As chip designs become larger and more complex, especially for AI and high-performance computing workloads, it's often not feasible to fit everything onto a single planar die. But determining when to move to a multi-die assembly isn't always straightforward. Multi-die approaches have some well-documented benefits. They allow designers to split functions across different dies, which can impro... » read more

Minimizing Design Risk: Rapid Feasibility Exploration For Multi-Die Designs


Multi-die design is revolutionizing semiconductor innovation, offering unprecedented flexibility, but also introducing complexity. What if designers could spot and solve critical issues, such as IR drop, electromigration, and thermal impact before they ever reach the design implementation stage? In this white paper, we explore how rapid, comprehensive feasibility exploration enables desi... » read more

2025 – A Year Of Change And Anticipation


2025 has certainly been a year of unexpected changes. These had a significant impact on the semiconductor industry and everything that supports it. Not all the changes have been bad, but flexibility has been a requirement for continued success or to make the most of an opportunity provided. Some industries, such as aerospace and defense, are seeing a significant boost around the world. Data ... » read more

Programmable Chips Evolve For Shifting Needs


ICs and SoCs are utilizing a range of processing elements that allow them to optimize current workloads while hedging their bets for the future. What used to be a simple choice between an ASIC, FPGA, or DSP, has evolved into a mix of processor types and architectures, including varying levels of programmability and customization. Speed is essential, but technology is evolving so quickly that... » read more

Chip Industry Week in Review


Government funding/defunding NIST is terminating funding for the SMART USA Institute, a CHIPS Act research center focused on digital twins, prompting congressional concern that the decision disrupts active awards and weakens U.S. semiconductor R&D commitments. Korea Zinc was awarded $210M in CHIPS Act funding towards a new $6.6B Tennessee advanced smelter and minerals processing facility,... » read more

Faster Mask Synthesis With GPUs


Design teams face rising pressure to deliver larger chips with higher transistor densities on tighter schedules using advanced node processing. The computing demands of modern applications, especially those making heavy use of AI, are extending pressure beyond design to every step of the development flow, including manufacturing, where photolithography and mask synthesis must keep pace. This po... » read more

Reliability Risks Shift To The Materials Stack


The semiconductor industry’s push into 3D integration and large-format substrates has fundamentally changed the role of materials in packaging. What were once structural supports and electrical insulators have become critical performance limiters. Modern packages contain far more polymers, adhesives, advanced dielectrics, thermal materials, and composite laminates than previous generations... » read more

Benefits And Limits Of Using ML For Materials Discovery


Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development. Whether the goal is to identify new applications for known materials or to design new molecules for a particular task, these tools help materials scientists find correlations in large data libraries. Still, machine learning tools are not magic. “Software tools are only as... » read more

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