Scalable software tools to support the optimization of applications for HPC systems
Performance optimization and analysis tools are increasingly important for scientists and code developers given the increasing the complexity of parallel computers and applications. These tools are the foundation for the performance optimization and analysis of application codes. The availability and use of a broad range of scalable, user-friendly, simple to handle software tools can save an enormous amount of time in the development of applications and the diagnosis of their behavior, in view of achieving a more efficient utilization of the computing resources. ZIH has a long experience in event-based monitoring and analysis of program execution traces with Nvidia CUDA, OpenCL or AMD ROCm.
Current Key Topics and Projects
- Vampir: Visualization and analysis of parallel applications
- Score-P: Scalable performance measurement infrastructure for parallel codes
- Perf: System and application tracing on Linux
- Virtual Institute - High Productivity Supercomputing (VI-HPS): Integrated programming tools for high-performance computing
- DARWIN - "Digitaler Thread"-based turbomachine design with embedded artificial intelligence using high-fidelity simulation methods
- CRESTA: Collaborative Research into Exascale Systemware, Tools and Applications
- DataHeap: Embeding external performance data in program traces
- ECOUSS: Efficient open compiler environment for semantically annotated parallel simulationen
- eeClust: Energy efficient cluster computing
- ELP: Efficient Runtime Support for Future Programing Standards
- EP-Cache
- H4H: Optimise HPC applications on heterogeneous architectures
- HI-CFD: Hocheffiziente Implementierung von CFD-Codes für HPC-Many-Core-Architekturen
- HOlistic Performance System Analysis (HOPSA): Diagnostic infrastructur for combined application and system tuning
- LMAC: Performance dynamics of massively parallel codes
- Marmot / UniMCI: Runtime correctness checking of MPI applications
- MUST: Scalable runtime correctness checking for MPI application
- NextGenIO: Next Generation I/O for Exascale
- Open Trace Format (OTF): Scalable file format for performance event data
- ParMA: Parallel programming for multi-core architectures
- Prestige: Development, application and validation of innovative multi-disziplinary simulation and design methods for an improved understading of airplane turbines
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ProPE: Process-Oriented Performance Engineering Service Infrastructure for Scientific Software at German HPC Centers
- Scout: A Source-to-Source Transformator for SIMD-Optimizations
- SILC: Scalable infrastructure for automated performance analysis of parallel codes
- VampirTrace: Performance data monitor for HPC applications
© Michael Kretzschmar
Dr. Andreas Knüpfer
Deputy Director / Head of Department IAK
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Center for Information Services and High Performance Computing (ZIH)
Center for Information Services and High Performance Computing (ZIH)
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Willersbau, A113 Zellescher Weg 12-14
01069 Dresden