AI-Powered Performance Analysis for Scientific Software
Uncover Hidden Bottlenecks and Optimize HPC Workflows with PerfAnalyzer
PerfAnalyzer revolutionizes the way scientific software teams understand and refine performance across versions. Our AI-driven approach provides deep insights into code changes, computational parameters, and their real-world impact.
Quantifiable Impact: Enhancing HPC Efficiency
Implementing PerfAnalyzer leads to tangible improvements in software performance, resource utilization, and research reproducibility. See how we drive efficiency across diverse scientific computing environments.
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Average Performance Improvement
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Reduction in Debugging Time
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Increase in Reproducibility Confidence
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Version Tracking & Git Integration
PerfAnalyzer seamlessly integrates with Git to track source code modifications, linking them directly to performance data. This enables a granular understanding of how specific commits impact efficiency across different computing environments. It provides crucial context for correlating results with meaningful changes, ensuring reliable interpretation.
Ensemble Data & Multivariate Parameters
Our system captures diverse computational parameters—input, output, hardware configurations, and runtime profiles—across multiple runs. This 'ensemble data' approach, combined with version awareness, helps identify complex cause-and-effect relationships that are often obscured in isolated measurements. It streamlines the analysis workflow for complex simulations.
Interactive Dashboards & Trend Identification
The PerfAnalyzer dashboard uses parallel coordinate plots to visually represent high-dimensional performance data, making trends and anomalies easy to spot. This interactive interface allows researchers to drill down into specific Git commits, compare performance across versions, and quickly identify parameters related to significant changes, enhancing the interpretability for human analysts.
PerfAnalyzer Workflow
Runner Script Execution
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Data Collection (Input/Output/Profile)
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Parser Script Processing
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DSI Database Storage
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Visualization Dashboard
| Feature | Traditional Analysis | PerfAnalyzer |
|---|---|---|
| Version Awareness | Manual tracking, prone to errors |
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| Data Correlation | Fragmented, difficult to link |
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| Anomaly Detection | Relies on isolated measurements |
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| Reproducibility | Challenging without full context |
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| Ease of Use | Repetitive manual tasks |
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2.12x
Performance Improvement observed in CloverLeaf mini-application after optimization identified by PerfAnalyzer.
Case Study: CloverLeaf Mini-Application
Challenge
Identifying the root causes of performance changes in the CloverLeaf-2D mini-application across different Git commits, using varying computational parameters and profiling data from TAU. Manual correlation was complex and time-consuming.
PerfAnalyzer Solution
Utilized PerfAnalyzer's Runner and Parser scripts to automate data collection and processing across master branch commits spanning three years. The interactive dashboard, featuring a parallel coordinate plot, visually represented performance metrics and Git commit times.
Outcome
PerfAnalyzer highlighted significant performance changes, correlating specific commits to altered total execution times. For instance, the inclusion of 'pragma ivdep' or 'pragma simd' directives was directly linked to performance increments or decrements, revealing the impact of these code modifications that would be difficult to locate using isolated measurements. This enabled program analysts to quickly pinpoint performance issues and their underlying causes.
Calculate Your Potential ROI with PerfAnalyzer
Understand the significant time and cost savings your enterprise could achieve by integrating AI-powered performance analysis into your HPC workflows.
Estimated Annual Savings
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Annual Hours Reclaimed
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Your Journey to Optimized HPC
Our structured implementation roadmap ensures a smooth transition and rapid value realization from PerfAnalyzer.
Discovery & Customization
We begin with a deep dive into your existing HPC infrastructure, software stack, and performance analysis challenges. This phase includes defining custom scripts for data collection and integration with your Git repositories.
Pilot Implementation & Training
A pilot program on a selected application helps fine-tune PerfAnalyzer to your specific needs. Your team receives hands-on training to leverage the dashboard for version-oriented performance analysis effectively.
Full-Scale Deployment & Integration
Seamless deployment across your enterprise, integrating with all relevant scientific software projects. Ongoing support and optimization ensure continuous performance gains and robust reproducibility.
Ready to Transform Your HPC Performance?
Connect with our experts to explore how PerfAnalyzer can specifically address your organization's performance bottlenecks and elevate your scientific software development.
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Book Your Free Consultation.
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