Semiconductor Engineering

Using Machine Learning To Automate Debug Of Simulation Regression Results

Regression failure debug is usually a manual process wherein verification engineers debug hundreds, if not thousands of failing tests. Machine learning (ML) technologies have enabled an automated ...
EDN

Using complex triggers in an FPGA-based RTL debugger

When a design is simulated, the level of verification is a function of how accurately the simulation vectors mimic the operating environment. Designs that are simulated with vectors that accurately ...
Design-Reuse

Green Hills Software's TimeMachine Debugger and SuperTrace Probe to Support Next-Generation Automotive PowerPC

DETROIT, MI-March 8, 2004 - Green Hills Software, Inc., the market leader in embedded software development tools and royalty-free real-time operating systems (RTOS), today announced support of the ...
Business Wire

Lightrun Launches Support for Python, Giving Developers a Simpler Way to Debug Live Machine Learning Pipelines

TEL AVIV, Israel--(BUSINESS WIRE)--Lightrun, the leader in IDE-native observability, today announced support for the Python programming language and its ecosystem of deep learning and data science ...
Design-Reuse

The Wonders of Machine Learning: Tackling Lint Debug Quickly with Root-Cause Analysis (Part 3)

Achieving predictable chip design closure has become progressively challenging for teams worldwide. While linting tools have existed for decades, traditional tools require significant effort to filter ...
Semiconductor Engineering

Achieve 10X Faster CDC Debug Leveraging Machine Learning

Over the years, system-on-chip (SoC) design sizes have crossed the billion-gate mark. Higher complexity has been introduced within semiconductor designs to deliver desired functionality. The number of ...