Overview
A Suite of Multi-Run, Multi-Engine Generative AI Apps Enabling AI-Driven Verification
The Cadence Verisium Artificial Intelligence (AI)-Driven Platform represents a generational shift from single-run, single-engine algorithms to algorithms that leverage big data and generative AI across multiple runs of multiple engines throughout an entire SoC verification campaign. The Verisium platform optimizes verification workloads, boosts coverage, and accelerates root cause analysis of bugs. It is part of the Cadence.AI Generative AI Platform, unifying its computational software innovations in data and AI across the full portfolio of Cadence products and solutions.
New Generation of AI-Driven Verification Apps Reduce Silicon Bugs and Accelerate Time to Market
Reduced Debug Turnaround Time
AI-driven bug prediction efficiently links test failures to RTL code changes
Increased Debug Productivity
AI-driven bug prediction and design analysis automates root cause analysis
Improved Regression Turnaround Time
AI-driven test suite scheduling automatically optimizes compute resource utilization
Automated Test-Case Failure Triage
AI-driven classification of failing tests reduces manual failure analysis effort
Products
Verisium Apps
The Verisium Platform is a suite of applications leveraging big data and generative AI to optimize verification workloads, boost coverage, and accelerate root cause analysis of design bugs on complex SoCs.
Verisium Manager
Full flow IP and SoC-level verification management with verification planning, job scheduling, and multi-engine coverage, with AI-driven testsuite optimization to improve compute farm efficiency. Built natively on the Cadence JedAI Platform, Verisium Manager also integrates directly with other Verisium apps, enabling interactive push-button deployment of the complete Verisium platform from a unified browser-based management console.
Verisium Debug
Comprehensive debug solution from IP to SoC and from single-run to multi-run, offering fast interactive and post-process debug with waveform, schematic, driver tracing, and SmartLog technologies. Verisium Debug is natively integrated with the Cadence JedAI Platform and other Verisium apps to enable AI-driven root cause analysis of bugs with the support of simultaneous automatic comparison of passing and failing tests.
Verisium AutoTriage
Builds AI models that help automate the repetitive task of regression failure triage by predicting and classifying test failures with common root causes.
Verisium SemanticDiff
Provides an algorithmic solution to compare multiple source code revisions of an IP or SoC, classify these revisions, and rank which updates are most disruptive to the system's behavior to help pinpoint potential bug hotspots.
Verisium WaveMiner
Applies powerful AI engines to analyze waveforms across a full verification testsuite and determine which signals, at which times, are most likely to represent the root cause of test failures.
Verisium PinDown
Integrates with the Cadence JedAI Platform and industry-standard revision control systems to build AI models of source code changes, test reports and log files to predict which source code check-ins are most likely to have introduced which failures.
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Customer Stories
See What Customers Have to Say About the Verisium Platform
Our tight collaboration with Cadence confirms Verisium’s groundbreaking ability to automatically accelerate the effort to root cause bugs, and we are working with Cadence to expand deployment across our IP and SoC verification teams.
Chinh Tran, MediaTek
We see a great opportunity to leverage AI and big data to dramatically improve design and verification productivity. We are working closely with Cadence to deploy the Verisium platform on our mobile SoC designs and are already seeing impressive results to automatically triage and root cause bugs.
S. Brian Choi, Samsung Electronics
We have already observed a significant boost to functional verification productivity, leveraging Verisium AutoTriage, SemanticDiff and WaveMiner. Using the Verisium apps and the Cadence JedAI Platform, we aim to quickly achieve a dramatic productivity improvement in triaging and localizing bugs...
Mirella Negro Marcigaglia, STMicroelectronics
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