Do You Trust Your IP Supplier?


How much do you trust your IP supplier, regardless of whether IP was developed in-house or by a third-party provider? And what implications does it have a system integrator? These are important questions that many companies are beginning to ask. Today, there are few methods, other than documentation, that provide the necessary information. The software industry may be ahead of the hardware i... » read more

Blog Review: March 18


Arm's Divya Prasad investigates whether power rails that are buried below the BEOL metal stack and back-side power delivery can help alleviate some of the major physical design challenges facing 3nm nodes and beyond. Rambus' Steven Woo takes a look at a Roofline model for analyzing machine learning applications that illustrates how AI applications perform on Google’s tensor processing unit... » read more

Manufacturing Bits: March 9


Finding cures for coronavirus The Department of Energy’s Oak Ridge National Laboratory (ORNL) is using the world’s most powerful supercomputer to identify drug compounds and cures for the coronavirus. [caption id="attachment_24162601" align="alignleft" width="300"] Summit supercomputer. Source: Oak Ridge National Laboratory[/caption] The supercomputer, called Summit, has identified 7... » read more

New Architectural Issues Facing Auto Ecosystem


As chips bound for the automotive world move to small process nodes, including 5nm and below, the automotive ecosystem is wrestling with both scaling issues and challenges related to architecting safety-critical systems using fewer chips. This may sound counterintuitive, because one of the main reasons automotive chip providers are moving to smaller nodes is to reduce the number of chips in ... » read more

The Challenges Of Building Inferencing Chips


Putting a trained algorithm to work in the field is creating a frenzy of activity across the chip world, spurring designs that range from purpose-built specialty processors and accelerators to more generalized extensions of existing and silicon-proven technologies. What's clear so far is that no single chip architecture has been deemed the go-to solution for inferencing. Machine learning is ... » read more

Uses, Limits And Questions For FPGAs In Autos


Programmable logic in automotive applications is essential, given the parade of almost constant updates and shifts in direction, but exactly where the technology will be used has become a moving target. This isn't entirely surprising in the automotive industry. Carmakers are moving into electrification and increasing levels of automation in fits and starts, sometimes with dramatic swings in ... » read more

Hardware Attack Surface Widening


An expanding attack surface in hardware, coupled with increasing complexity inside and outside of chips, is making it far more difficult to secure systems against a variety of new and existing types of attacks. Security experts have been warning about the growing threat for some time, but it is being made worse by the need to gather data from more places and to process it with AI/ML/DL. So e... » read more

Blog Review: Jan. 8


Synopsys' Taylor Armerding digs into the privacy and security concerns surrounding connected toys and argues that the current practice of consumers bearing much of the burden to determine what is safe is not viable. In a podcast, Mentor's John McMillan looks back at the past decade in technology and what the next may hold in store as areas like AI and automotive get going. Cadence's Madha... » read more

What Worked, What Didn’t In 2019


2019 has been a tough year for semiconductor companies from a revenue standpoint, especially for memory companies. On the other hand, the EDA industry has seen another robust growth year. A significant portion of this disparity can be attributed to the number of emerging technology areas for semiconductors, none of which has reached volume production yet. Some markets continue to struggle, a... » read more

MLPerf Benchmarks


Geoff Tate, CEO of Flex Logix, talks about the new MLPerf benchmark, what’s missing from the benchmark, and which ones are relevant to edge inferencing. » read more

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