Automotive IC Design Demands Next-Generation High-Sigma Verification


By Jeff Dyck High-sigma analysis is required for verifying replicated components, like memory blocks and standard cells, and for demonstrating mission-critical reliability for automotive and medical applications. It is not feasible to verify to high-sigma using brute-force Monte Carlo, as this requires 10s of millions of simulations to reach 5-sigma and billions in order to reach 6-sigma. S... » read more

Autonomous Drive Requires Smart Sensor Systems


While exotic technology for autonomous drive cars draw wonder all around the world, individual smart sensor systems with “simple” jobs to do are equally important. LiDAR sensors with specialized AI chips for object identification are fascinating. But “simple” smart sensor systems, like passenger airbag deployment systems, are also key to autonomous drive vehicles. A typical trait of a s... » read more

Blog Review: Feb. 6


Mentor's Harry Foster examines the impact of growing design complexity on how long designs spend in verification, the ratio of design to verification engineers on a project, and how they spend their time. Cadence's Paul McLellan checks out some of the emerging memory technologies and notes there's no clear indication which will dominate the market. Synopsys' Meenakshy Ramachandran checks ... » read more

Pushing AI Into The Mainstream


Artificial intelligence is emerging as the driving force behind many advancements in technology, even though the industry has merely scratched the surface of what may be possible. But how deeply AI penetrates different market segments and technologies, and how quickly it pushes into the mainstream, depend on a variety of issues that still must be resolved. In addition to a plethora of techni... » read more

Verifying AI Designs Thoroughly And Quickly


You can’t turn around these days without seeing a reference to AI – even as a consumer. AI, or artificial intelligence, is hot due to the new machine-learning (ML) techniques that are evolving daily. It’s often cited as one of the critical markets for electronics purveyors, but it’s not really a market: it’s a technology. And it’s quietly – or not so quietly – moving into many, ... » 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

EDA Grabs Bigger Slice Of Chip Market


EDA revenues have been a fairly constant percentage of semiconductor revenues, but that may change in 2019. With new customers creating demand, and some traditional customers shifting focus from advanced nodes, the various branches of the EDA tool industry may be where sticky technical problems are solved. IC manufacturing, packaging and development tools all are finding new ways to handle t... » read more

Chips&Media: Design and Verification of Deep Learning Object Detection IP


Chips&Media, a leading provider of high-performance video IP for SoC design, took a unique approach to designing their latest IP for detecting objects in real time. They decided to adopt a new High-Level Synthesis (HLS) flow to implement their deep learning algorithm. But, they would have an RTL team create this algorithm, using traditional tools and another team would employ the Catapult H... » read more

Blog Review: Jan. 30


Cadence's Paul McLellan provides a primer on embedded memory types, their tradeoffs, and the emerging technologies to keep an eye on. Mentor's Matthew Ballance takes a look at how Portable Stimulus can help create better virtual sequences. Synopsys' Taylor Armerding takes a look at what the next year holds for open source, from changes in license terms to the impact of GDPR and a broader ... » read more

Variation Issues Grow Wider And Deeper


Variation is becoming more problematic as chips become increasingly heterogeneous and as they are used in new applications and different locations, sparking concerns about how to solve these issues and what the full impact will be. In the past, variation in semiconductors was considered a foundry issue, typically at the most advanced process node, and largely ignored by most companies. New p... » read more

← Older posts Newer posts →