Presentation
Track Analyzer + Visualizer
DescriptionModern backend design teams lose significant time diagnosing disk alerts, locating stale data, and cleaning cloned PD execution flow tracks—effort that scales poorly with project size. We present Track Analyzer + Visualizer, an automated framework that identifies redundant dataout directories, quantifies reclaimable storage, and generates intuitive drill-down cleanup reports.
Cloned tracks for new experiments often copy large dataout release directories intended for consecutive sessions in the original track, creating unnecessary duplication and consuming disk space.
In one project, the tool analyzed ~240 TB of design release data and identified 105 TB (~44%) of recoverable space in under 2 hours, replacing days of manual effort. Weekly use across multiple projects has reclaimed 350+ TB, preventing disks from reaching critical capacity and avoiding workflow interruptions. These savings return engineering time and reduce full storage operating costs—including power, cooling, backups, and maintenance—while helping avoid costly expansion cycles.
This insight drove methodology improvements to minimize duplication while preserving flow integrity, complementing ongoing automated cleanup for sustainable data management. By automating a recurring burden, this solution improves productivity, lowers storage costs, and enhances scalability and business efficiency.
Cloned tracks for new experiments often copy large dataout release directories intended for consecutive sessions in the original track, creating unnecessary duplication and consuming disk space.
In one project, the tool analyzed ~240 TB of design release data and identified 105 TB (~44%) of recoverable space in under 2 hours, replacing days of manual effort. Weekly use across multiple projects has reclaimed 350+ TB, preventing disks from reaching critical capacity and avoiding workflow interruptions. These savings return engineering time and reduce full storage operating costs—including power, cooling, backups, and maintenance—while helping avoid costly expansion cycles.
This insight drove methodology improvements to minimize duplication while preserving flow integrity, complementing ongoing automated cleanup for sustainable data management. By automating a recurring burden, this solution improves productivity, lowers storage costs, and enhances scalability and business efficiency.
Event Type
Engineering Poster
TimeWednesday, July 293:00pm - 4:00pm PDT
LocationDAC Pavilion, Exhibit Floor