Leveraging Multi-Agent RL for Microprocessor Design Space (Harvard, Google)


A new technical paper titled "Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration" was published by researchers at Harvard University and Google research groups. Abstract "Microprocessor architects are increasingly resorting to domain-specific customization in the quest for high-performance and energy-efficiency. As the systems grow in complexity, fine-tuning arch... » read more

Startup Funding: November 2022


November was a month for mega-rounds, with ten companies receiving investments of at least $100 million. One of those is a startup providing connectivity solutions for data centers and enabling use of the memory pooling functionality in the latest update to the CXL standard. Two quantum computer startups were part of the $100M+ club this month — one using very cold atoms to take on not only q... » read more

Why Matter 1.0 Really Matters


Incompatibilities of consumer devices inside the home are frustrating for consumers and a security risk. Skip Ashton, distinguished engineer at Infineon, talks about how the Matter 1.0 standard will fuse together different ecosystems from companies such as Apple, Google, and Amazon, how it will be applied to existing devices, what’s included and missing from the standard today, and how it can... » read more

Weird Incidents Reveal L5 Challenges


A series of surprising, counterintuitive, and sometimes bizarre incidents reveal the challenges of achieving full Level 5 autonomy in self-driving vehicles, which are an increasingly common site in major cities. While it’s easy to dismiss such anecdotes as humorous glitches compared with the sobering accounts of autonomous tech-related injuries and fatalities, industry executives say these oc... » read more

Which Foundry Is In The Lead? It Depends.


The multi-billion-dollar race for foundry leadership is becoming more convoluted and complex, making it difficult to determine which company is in the lead at any time because there are so many factors that need to be weighed. This largely is a reflection of changes in the customer base at the leading edge and the push toward domain-specific designs. In the past, companies like Apple, Google... » read more

Bespoke Silicon Rattles Chip Design Ecosystem


Bespoke silicon developers are shaking up relationships, priorities, and methodologies across the semiconductor industry, creating demand for skills that cross traditional boundaries, and driving new business models that leverage these enormous investments. Bespoke silicon designers today are a rare breed, capable of understanding the unique requirements of a specific domain, as well as a gr... » read more

Why Silent Data Errors Are So Hard To Find


Cloud service providers have traced the source of silent data errors to defects in CPUs — as many as 1,000 parts per million — which produce faulty results only occasionally and under certain micro-architectural conditions. That makes them extremely hard to find. Silent data errors (SDEs) are random defects produced in manufacturing, not a design bug or software error. Those defects gene... » read more

IC Architectures Shift As OEMs Narrow Their Focus


Diminishing returns from process scaling, coupled with pervasive connectedness and an exponential increase in data, are driving broad changes in how chips are designed, what they're expected to do, and how quickly they're supposed to do it. In the past, tradeoffs between performance, power, and cost were defined mostly by large OEMs within the confines of an industry-wide scaling roadmap. Ch... » read more

Week In Review: Manufacturing, Test


Highlights from ITC The hot topic at this week’s International Test Conference (ITC) was tackling silent data corruption, with panel discussions, papers, and Google’s Parthasarathy Ranganathan’s keynote address all emphasizing the urgency of the issue. In the past two years Meta, Google, and Microsoft have reported on silent errors, errors not detected at test, which are adversely impact... » read more

Toward Domain-Specific EDA


More companies appear to be creating custom EDA tools, but it is not clear if this trend is accelerating and what it means for the mainstream EDA industry. Whenever there is change, there is opportunity. Change can come from new abstractions, new options for optimization, or new limitations that are imposed on a tool or flow. For example, the slowing of Moore's Law means that sufficient prog... » read more

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