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Artificial Intelligence
I have attended several past Synopsys verification events which I remember as engineering conference room, all-engineer pitches and debates. Effective but aiming for content rather than polish. This year’s event was different. First it was virtual, like most events these days, which certainly made the whole event feel more… Read More
Science texts like to present the evolution of knowledge as step-function transitions, from ignorance to wisdom. We used to think the sun revolved around the earth. Then Galileo appeared, and we instantly realized that the earth revolves around the sun. But reality is always messier, as Galileo understood all too well. The transition… Read More
Building a custom chip for edge computing applications can be quite daunting. For starters, there is very little power available at the edge, so energy efficiency will be top of mind. The whole point of edge processing is to off-load the time-consuming and costly process of sending data to the cloud, so substantial processing capability… Read More
In a discussion with Tom Fitzpatrick of Siemens EDA he recalled that their Verification Horizons newsletter started 17 years ago, back when they were Mentor. We’ve known about the Siemens acquisition for a while. The deal closed in March 2017, but it wasn’t until January 1, 2021 that the legal entity merger was complete. Which makes… Read More
The foundry model, multi-source IP blocks, advanced packaging technologies, cloud computing, hyper-connectivity and access to open-source software have all contributed to the incredible electronics products of recent times. Along with this, the complexity of developing and taking a chip to market has also increased. And… Read More
We’re creatures of habit. As technologists, we want to move fast and break things, but only on our terms. Everything else should remain the same or improve with minimum disruption. No fair breaking the way we do our jobs as we plot a path to greatness. This is irrational, of course. Real progress often demands essential changes where… Read More
3D vision technology is rapidly evolving. Compared to 2D vision technology that deals with planar information, 3D vision works with physical information, including depth, which makes it possible to recognize and measure objects with curved surfaces and arcs. In addition, as deep machine learning and big data computing technologies… Read More
Large numbers of sensors, massive amounts of data, ever-increasing computing power, real-time operation and security concerns required for autonomous vehicles are driving the core of computation from the cloud to the edge of the network. Autonomous vehicles are constantly sensing and sending data on road conditions, location… Read More
In every chip, power is a progressive problem to be solved. Designers have long had to rely on a combination of experience and knowledge to tackle this dilemma, typically having to wait until after silicon availability to perform power analysis with realistic software workloads. However, this is too late in the game, as it becomes… Read More
Instrumenting post-silicon validation is not a new idea but here’s a twist. Using (pre-silicon) emulation to choose debug observation structures to instrument in-silicon. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO) and I continue our series on research… Read More
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