New Whitepaper: Build System Optimization

We're excited to announce the release of our latest whitepaper on modern build system optimization techniques.

What's Inside

This comprehensive 42-page publication covers:

• Build time analysis methodologies - Learn how to identify bottlenecks in your build process
• Caching strategies - Implement effective caching to dramatically reduce build times
• Parallel build execution - Maximize CPU utilization for faster builds
• Cloud-based build systems - Leverage distributed computing for massive projects
• ROI calculation - Quantify the business value of build optimization

Real-World Results

The techniques described in this whitepaper have helped our clients achieve:

• Build time reductions of 60-80%
• Developer productivity improvements of 25-40%
• Significant cost savings in CI/CD infrastructure

Tensor is Hiring - Join Our Growing Team

As we continue to expand our performance engineering services and product development, we're looking for talented individuals to join our team.

Open Positions

We currently have exciting opportunities for:

• Senior Performance Engineer - Work with leading organizations on complex optimization challenges
• Research Engineer - Contribute to cutting-edge AI and performance analysis research
• Software Engineer - Help build the next generation of Elfalyzer and Timealyzer

Why Join Tensor?

Challenging Work

Tackle complex performance problems that matter. Our clients range from automotive to cloud computing, providing diverse and interesting challenges.

Innovation Culture

We dedicate 20% of our time to research, experimentation, and exploring new technologies. Your ideas can shape our products and services.

Growth & Learning

• Conference attendance budget
• Training and certification support
• Access to the latest tools and technologies
• Mentorship from industry experts

Work-Life Balance

• Flexible working hours
• Remote work options
• Competitive compensation
• Modern office in Munich

Tensor Launches AI-Assisted Performance Analysis Research Initiative

We're excited to announce a groundbreaking collaboration with leading academic institutions to develop next-generation AI-assisted performance analysis techniques.

Research Goals

This multi-year research project aims to:

• Automate performance analysis using machine learning to identify patterns and anomalies
• Predict performance issues before they occur in production environments
• Generate optimization recommendations based on learned patterns from thousands of systems
• Create self-optimizing systems that adapt to changing workloads

Partners

We're working with researchers from:

• Technical University of Munich (TUM)
• ETH Zürich
• Carnegie Mellon University
• Several industry partners

Expected Impact

This research has the potential to revolutionize how we approach performance engineering, making advanced optimization accessible to teams of all sizes.

Product Updates: Major Releases for Elfalyzer and Timealyzer

We're thrilled to announce significant updates to both of our flagship products this fall.

Elfalyzer 3.5

Our binary analysis tool has received a major upgrade with several powerful new features:

New Features

• Enhanced ARM64 support - Improved analysis for Apple Silicon and modern ARM processors
• Security hardening detection - Automated verification of security flags and best practices
• Performance optimization suggestions - AI-powered recommendations for binary optimization
• Integration with CI/CD - New plugins for Jenkins, GitLab CI, and GitHub Actions

Performance Improvements

• 40% faster analysis for large binaries
• Reduced memory footprint by 30%
• Parallel analysis for multi-file projects

Timealyzer 2.8

Our timing analysis solution continues to evolve with critical new capabilities:

New Features

• Multi-core timing analysis - Advanced interference analysis for modern multi-core systems
• Enhanced visualization - Interactive timeline with zoom and filtering capabilities
• WCET certification support - Compliance documentation for ISO 26262 and DO-178C
• Energy profiling - Correlate timing with power consumption data

Usability Improvements

• Improved IDE integration (VS Code, Eclipse, IAR Embedded Workbench)
• Streamlined report generation
• Enhanced command-line interface

Advancing Performance Engineering

At Tensor, we're dedicated to pushing the boundaries of performance analysis and system optimization. Our innovative tools and services help organizations achieve peak efficiency in their software systems.

Recent Achievements

We've successfully completed several major performance optimization projects this quarter, delivering significant improvements for our clients:

• 50% reduction in build times for a major automotive manufacturer
• 3x improvement in real-time system response times for an industrial control application
• 40% reduction in cloud infrastructure costs through optimization

What's Next

We're continuing to invest in research and development, particularly in AI-assisted performance analysis and energy-efficient computing. Stay tuned for upcoming announcements about our latest innovations.