中文 English

Pushing The Limits Of Hardware-Assisted Verification


As semiconductor complexity continues to escalate, so does the reliance on hardware-assisted simulation, emulation, and prototyping. Since chip design first began, engineers have complained their design goals exceeded the capabilities of the tools. This is especially evident in verification and debug, which continue to dominate the design cycle. Big-iron tooling has enabled design teams to k... » read more

One-On-One: Lip-Bu Tan


Lip-Bu Tan, CEO of Cadence, sat down with Semiconductor Engineering to talk about the impact of massive increases in data across a variety of industries, the growing need for computational software, and the potential implications of U.S.-China relations. What follows are excerpts of that discussion. SE: What do you see as the biggest change for the chip industry? Tan: We're in our fifth g... » read more

A New Method For Electrical Systems Design


Electrical system complexity is reaching a tipping point across industries, from modern passenger vehicles to sophisticated industrial machines that can now contain nearly 5,000 wiring harnesses. The electrical systems of these machines contain multiple networks, thousands of sensors and actuators, miles of wiring and tens of thousands of discrete components (figure 1). Designing these complex ... » read more

System Design For Next-Generation Hyperscale Data Centers


As we are in the process of hyperscaling the large volumes of data that our devices and sensors create, processing this data along the way at far and near edges, and transmitting the hard-to-imagine volumes of data through networks to data centers for processing, the data center itself is undergoing a fundamental shift with new networking and architecture co-design opportunities. In a previous ... » read more

Intelligent System Design


Electronics technology is proliferating to new, creative applications and appearing in our everyday lives. To compete, system companies are increasingly designing their own semiconductor chips, and semiconductor companies are delivering software stacks, to enable substantial differentiation of their products. This trend started in mobile devices and is now moving into cloud computing, automotiv... » read more

Applications, Ecosystems And System Complexity Will Be Key Verification Drivers For 2020


In my predictions blog last year, I focused on verification throughput and its expected growth in 2019. The four areas I predicted we’d see growth in during 2019 were scalable performance, unbound capacity including cloud enablement, smart bug hunting and multi-level abstractions. In 2018, the five key verification drivers that I identified were security, safety, application specificity, proc... » read more

Does System Design Still Need Abstraction?


About 15 years ago, the assumption in the EDA industry was that system design would be inevitable. The transition from gate-level design to a new entry point at the register transfer level (RTL) seemed complete with logic synthesis becoming well-adopted. The next step seemed to be so obvious at the time: High-level synthesis (HLS) and transaction-based development beyond RTL—also taking into ... » read more

Toward A Lingua Franca For Intelligent System Design


As the EDA industry is moving up further and further towards the intelligent design of full systems, this year’s Forum on Design Languages (FDL) offered a great update on the status quo with regard to where languages fit into this transition. It looks like the next step will not be one universal language as previously targeted back when there was a flurry of introductions of new programming m... » read more

Are Digital Twins Something For EDA To Pursue?


‘Digital Twins’ are one of the new, fashionable key concepts for system developers, but do they fit with EDA? How many different types of engines do these twins run on – abstract simulation, signal-based RTL simulation, emulation, prototyping, actual silicon? What should the use models be called for digital twinning – like reproduction of bugs from silicon in emulation? Or optimizing th... » read more

Using Memory Differently


Chip architects are beginning to rewrite the rules on how to choose, configure and use different types of memory, particularly for chips with AI and some advanced SoCs. Chipmakers now have a number of options and tradeoffs to consider when choosing memories, based on factors such as the application and the characteristics of the memory workload, because different memory types work better tha... » read more

← Older posts