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NVIDIA CUDA and Parasoft

Ensuring Quality, Reliability, and Compliance for GPU-Accelerated Applications

As AI becomes foundational for next-generation products, development teams are increasingly embedding AI models directly into their applications. These applications often rely on NVIDIA’s CUDA technology to achieve the high-performance computing required for AI inference and data processing. However, the specialized CUDA extensions for C/C++ create challenges for traditional static analysis tools that struggle to interpret and validate this GPU-accelerated code.

With Parasoft C/C++test, teams can extend their code quality and compliance practices to include CUDA C/C++, enabling consistent static analysis across the entire software stack.


C/C++test Static Analysis for CUDA C/C++

What Parasoft C/C++test Does

C/C++test introduces full static analysis support for CUDA source files (.cu). The tool parses and analyzes CUDA C/C++ code while applying the same industry-proven standards and coding rules used for conventional C/C++ codebases. This includes MISRA C/C++, CERT C/C++, AUTOSAR C++ 14, JSF, and HICPP.

The result is a unified, automated process to identify defects, enforce standards, and ensure consistent quality across CPU and GPU code modules.

How CUDA Analysis Works

GPU photo

Integrating C/C++test into your development workflow enables teams to:

  • Perform static analysis on CUDA kernels and host code with a single configuration.
  • Enforce safety, security, and reliability standards across CUDA and traditional C/C++ code.
  • Detect performance-impacting or non-compliant code early in the lifecycle.
  • Generate compliance reports and traceability matrices aligned with functional safety standards such as ISO 26262, DO-178C, IEC 62304, IEC 61508, and others.
  • Reduce false positives and improve rule precision through enhanced analysis algorithms.

Together, these capabilities close the long-standing quality gap between traditional embedded software and GPU-accelerated components.

Why It Matters

Parasoft’s extension of static analysis to CUDA marks a key milestone in modern software assurance. It enables organizations to apply the same rigor, traceability, and compliance processes to the AI and GPU layers that power autonomous systems, advanced driver assistance, and industrial intelligence.

Immediate Benefits

  • Streamlined analysis with fewer false positives.
  • Reduced manual review effort.
  • Faster compliance and certification reporting.

Strategic Benefits

  • Future-ready infrastructure for AI-assisted development workflows.
  • Unified testing and compliance for hybrid CPU/GPU environments.
  • Foundation for AI-empowered software assurance in safety-critical domains.
Team of developers

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