Blog Review: July 4


Applied Materials' Sundeep Bajikar argues that to get the full benefits of AI, new computing architectures are needed – and that will require new breakthroughs in materials engineering to get beyond classic 2D scaling. Cadence's Tom Wong considers to what extent chip dis-integration is happening and how the industry can cope with the escalating costs of new process nodes and higher-speed i... » read more

Blog Review: June 27


Applied Materials' Sundeep Bajikar argues that to realize the full potential of AI, new computing architectures are necessary, otherwise AI will quickly become unaffordable. Synopsys' Iain Singleton considers why it may not always be necessary to start at the reset state during formal verification and how to use abstractions to get a head start on bug hunting. Cadence's Meera Collier look... » read more

Where Is Selective Deposition?


For years, the industry has been working on an advanced technology called area-selective deposition for chip production at 5nm and beyond. Area-selective deposition, an advanced self-aligned patterning technique, is still in R&D amid a slew of challenges with the technology. But the more advanced forms of technology are beginning to make some progress, possibly inching closer from the la... » read more

What Else Is In A Node?


In part one of this blog, I reported on the 2018 Industry Strategy Symposium (ISS) where Dan Hutcheson of VLSI Research led a panel with representatives of Synopsys, NVIDIA, Intel, ASML and Applied Materials. The participants discussed how the industry is focused on simultaneously squeezing more capabilities from leading-nodes, inter-nodes and trailing-nodes to drive advances in computing. I to... » read more

Dealing With Resistance In Chips


Chipmakers continue to scale the transistor at advanced nodes, but they are struggling to maintain the same pace with the other two critical parts of the device—the contacts and interconnects. That’s beginning to change, however. In fact, at 10nm/7nm, chipmakers are introducing new topologies and materials such as cobalt, which promises to boost the performance and reduce unwanted resist... » read more

Blog Review: June 20


Mentor's Randy Allen digs into OpenACC, a collection of directives and routines to help a compiler uncover and schedule parallelism, plus an examination of the GCC implementation's performance. Cadence's Paul McLellan takes a look at the shifting opinions on FD-SOI vs. finFET as Dan Hutcheson of VLSI Research finds most see the two as complementary technologies in his latest survey. Synop... » read more

The Week In Review: Manufacturing


Chipmakers and OEMs Tesla Motors has been struggling to get its new electric car, the Model 3, out the door. And it recently implemented a layoff amid ongoing losses. But the struggling car maker could be in the midst of a rebound. “Based on our checks, we believe the perceived quality of Model 3s coming off the lines continue to improve relative to prior checks, and we view this as one of t... » read more

Blog Review: June 13


Synopsys' Taylor Armerding looks at what the flaws in OpenPGP and S/MIME encryption means for the IoT and warns that the problems of patching such devices could lead to an increasing chance of security failures. Cadence's Paul McLellan takes a peek at Imec's roadmap to see what the path to 3nm looks like, how nanosheets fit in, and why design and system technology co-optimization is necessar... » read more

The Week In Review: Manufacturing


Fab tools Applied Materials has launched a suite of products that will enable cobalt metallization schemes for contacts and interconnects in chips at advanced nodes. The products from Applied enable a complete cobalt fill process. The tools include CMP, CVD, PVD and RTP systems. At advanced nodes, cobalt promises to reduce unwanted resistance in the critical parts of a chip. Cobalt is bein... » read more

Blog Review: June 6


In a video, Cadence's Marc Greenberg discusses the advantages and trade-offs of HBM2 and GDDR6, two advanced memory interfaces targeted to the high-performance computing market. Synopsys' Ravindra Aneja takes a look at what's needed for AI-focused hardware designs and how formal can help with the necessary data path verification. In a video, Mentor's Colin Walls explains the challenges of... » read more

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