Formal verification at the SoC level has long seemed an unapproachable requirement. Maybe we should change our approach. Could formal be practical on a suitable abstraction of the SoC? Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and… Read More
DSPs in Radar Imaging. The Other Compute Platform
In the flood of CPU and GPU announcements in pursuit of new technology advances, it is easy to lose track of another kind of platform – DSPs. Digital signal processors, once a niche platform for specialized applications, are now front and center in some of the hottest technologies. Because their strength in signal processing has… Read More
Clocking for High-Speed SerDes
The incessant demand for faster data rates across a wide range of end applications has led to the development of the most recent generation of SerDes hardware, achieving 112Gbps. For example, network switches in datacenter architectures are starting to provide 51T throughput utilizing these new 112Gbps implementations (51.2Tbps… Read More
Using AI in EDA for Multidisciplinary Design Analysis and Optimization
Most IC and system engineers follow a familiar process when designing a new product: create a model, use parameters for the model, simulate the model, observe the results, compare results versus requirements, change the parameters or model and repeat until satisfied or it’s time to tape out. On the EDA side, most tools perform… Read More
Cadence Execs Look to the Future
Everything is becoming digital, and everything digital requires semiconductors. Cadence’s President and CEO, Dr. Anirudh Devgan, highlighted this at the recent CadenceLIVE user conference and discussed many of the company’s accomplishments and future directions. Dr. Devgan also sees the emergence of data—especially … Read More
Stalling to Uncover Timing Bugs. Innovation in Verification
Artificially stalling datapaths and virtual channels is a creative method to uncover corner case timing bugs. A paper from Nvidia describes a refinement to this technique. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and I continue… Read More
Refined Fault Localization through Learning. Innovation in Verification
This is another look at refining the accuracy of fault localization. Once a bug has been detected, such techniques aim to pin down the most likely code locations for a root cause. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and I continue… Read More
224G Serial Links are Next
The tremendous increase in global data traffic over the past decade shows no sign of abating. Indeed, the applications for all facets of data communications are expanding, from 5G (and soon, 6G) wireless communications to metropolitan area networks serving autonomous vehicles to broader deployment of machine learning algorithms. … Read More
Tensilica Edge Advances at Linley
The Linley spring conference this year had a significant focus on AI at the edge, with all that implies. Low power/energy is a key consideration, though increasing performance demands for some applications are making this more challenging. David Bell (Product Marketing at Tensilica, Cadence) presented the Tensilica NNE110… Read More
ML-Based Coverage Refinement. Innovation in Verification
We’re always looking for ways to leverage machine-learning (ML) in coverage refinement. Here is an intriguing approach proposed by Google Research. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and I continue our series on research… Read More