Increase LVS Verification Productivity In Early Design Cycles


With the innovative Calibre nmLVS-Recon early verification tool, designers can run targeted short isolation analysis and debugging on blocks, macros and chips in early design phases. The Calibre nmLVS-Recon short isolation use model focuses on fast, efficient, prioritized short isolation and short paths debugging. To read more, click here. » read more

Challenges In Using AI In Verification


Pressure to use AI/ML techniques in design and verification is growing as the amount of data generated from complex chips continues to explode, but how to begin building those capabilities into tools, flows and methodologies isn't always obvious. For starters, there is debate about whether the data needs to be better understood before those techniques are used, or whether it's best to figure... » read more

The Evolution Of Digital Twins


Digital twins are starting to make inroads earlier in the chip design flow, allowing design teams to develop more effective models. But they also are adding new challenges in maintaining those models throughout a chip's lifecycle. Until a couple of years ago, few people in the semiconductor industry had even heard the term "digital twin." Then, suddenly, it was everywhere, causing confusion ... » read more

Multi-Mode Clock Domain Crossing Verification Enables Analysis Efficiency And Accuracy


This paper shows how automated modal CDC analysis is used to exhaustively verify CDC issues in all test and operational modes of an SoC with multiple IPs. This new approach automatically consolidates all results from each mode, making issues very easy to interpret and debug. What took days and weeks with the prior manual approach now takes only a few hours. To read more, click here. » read more

Simplifying And Speeding Up Verification


Semiconductor Engineering sat down to discuss what's ahead for verification with Daniel Schostak, Arm fellow and verification architect; Ty Garibay, vice president of hardware engineering at Mythic; Balachandran Rajendran, CTO at Dell EMC; Saad Godil, director of applied deep learning research at Nvidia; Nasr Ullah, senior director of performance architecture at SiFive. What follows are excerpt... » read more

An Eye For An AI


AI comes in multiple forms and flavors. The challenge is choosing the right one for the right purpose, and recognizing that just because AI can be applied to a particular process or problem doesn't mean it should be. While AI has been billed as a ideal solution for just about every problem, there are three primary requirements for a successful application. First, there needs to be sufficient q... » read more

A Different View On Debugging


The classic approach to improve an engineering task that is becoming too complex due to its size and detail is to raise the abstraction of design representation. In this way we plan cities, build aircraft and plan 500M gate SoCs. For example, there is no way an ASIC design could go beyond a few thousand logic gates without shifting abstraction to the Register Transfer Level (RTL) and leveragin... » read more

Inevitable Bugs


Are bug escapes inevitable? That was the fundamental question that Oski Technology recently put to a group of industry experts. The participants are primarily simulation experts who, in many cases, help direct the verification directions for some of the largest systems companies. In order to promote free discussion, all comments have been anonymized, distilling the primary thoughts of the parti... » read more

Capturing Bugs Visually


This paper presents a new way to comprehend complex scenarios, in order to significantly accelerate bug detection and resolution. By defining a new visual language, which creates interaction vertices between the simulation scenarios and the code structure on a single matrix, we offer a novel way to compare multiple cycles. It enables verification engineers to reach solid conclusions regarding a... » read more

The Debug Problem…


While semiconductor verification techniques have evolved considerably over the last 25 years, the debug of design problems found during verification has barely changed. New algorithms including machine learning, visualization approaches, and problem-solving ideas allow a different approach to debugging that saves up to an order of magnitude in debug time. Since the inception of Hardware Desc... » read more

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