How Far Left Can We Really Shift Verification?


"Shift left" has been in the engineering lexicon for so long that it risks becoming wallpaper. We nod at it, we put it on slides, and we move on. But the goalposts keep moving. Things that used to live comfortably at the tail end of the design flow — software bring-up, power and performance characterization, thermal analysis — are being dragged earlier and earlier into the schedule, driven ... » read more

How Far Left Can You Shift?


More steps in the design flow are shifting left, which makes a complicated design process even more complex. This includes early software prototyping, workload mapping, verification, multi-physics integration, verification, IP qualification. Frank Schirrmeister, executive director of strategic programs for System Solutions at Synopsys, talks about the increasing number of steps, the potential t... » read more

Creating A Moore’s Law For AI Scaling


Key Takeaways: AI scalability will require full-stack co-optimization, not just bigger data centers. AI workloads require a 10X compute efficiency gain over 10 years, making collaboration across algorithms, architectures, devices, packaging, and communication fabrics essential to deliver a 10X improvement in compute efficiency over the next decade.  Edge AI chips are moving to leadi... » read more

Blog Review: June 24


Cadence's Veena Parthan shows how finite element analysis simulations for crash testing can surpass the limitations of physical testing and offer insights into a wider array of crash scenarios that were once impossible to explore. Siemens' Haitham Eissa and Amr Khafagy warn that once-passive dummy fill structures have begun to influence design performance significantly as the industry progre... » read more

Will Your Chip’s Memory Work As Expected?


Increased density at advanced nodes, multi-die assemblies, and the rollout of AI everywhere are making it much more challenging to ensure that memory will function properly over its expected lifetime. Test is no longer about a single memory or one approach for testing memory. It can vary by application, by workload, and by architecture. Some testing is close to memory, some is built into memory... » read more

Cloud HPC For AI: Addressing Latency, Cost, And Scale At The Architectural Level


Many organizations assume that moving HPC workloads to the cloud is simply a matter of lifting and shifting on-premises clusters. In practice, that approach often erodes performance, inflates costs, and undermines AI training efficiency. Getting the most out of HPC in the cloud requires a fundamentally different architectural approach — one that minimizes latency, maximizes utilization, an... » read more

Mask Economics Shape High-NA EUV Adoption


Key Takeaways: Mask costs are not stopping leading-edge scaling, but they increasingly influence design, node, and process choices. High-NA EUV will tighten requirements for CD, EPE, local CDU, mask 3D modeling, stitching, and materials. Reduced depth of focus in High-NA EUV will drive new resist, etch, film, and absorber approaches. Experts at the table: Semiconductor Engin... » read more

Chip Industry Week In Review


Dealmaking Amkor inked a 10-year agreement with TSMC to provide advanced packaging and test services in Arizona, tying TSMC’s U.S. fab expansion to domestic OSAT capacity. Trump said in a post that Apple will partner with Intel on chip design and production in the U.S., marking a second reported win for the chipmaker this month. Intel Foundry will also reportedly manufacture 3 million... » read more

How To Build Billions of Bumps


Key Takeaways: Hybrid bonding can result in a package containing billions (and eventually trillions) of connections. Building that many connections successfully requires extreme process uniformity across a wafer. Inspection isn’t practical, and test benefits from internal test mechanisms. Hybrid bonding allows unprecedented signal pitch, but fully populating dies and inter... » read more

A New Fracture Engine For Curvilinear Masks And MULTIGON Mask Data


Curvilinear masks are rapidly moving into high-volume production. This transition is driven by the need for better pattern fidelity, larger wafer process windows, and more effective use of inverse lithography technology (ILT) and curvilinear optical proximity correction (OPC). However, curvilinear masks also create a new challenge for mask data preparation (MDP): when curvilinear MULTIGON patte... » read more

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