Scalable software tools to support the optimization of applications for HPC systems

Screenshot Performance-Analyse-Softwaretool

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.

Current Projects

Vampir: Visualization and analysis of parallel applications
ProPE: Process-Oriented Performance Engineering Service Infrastructure
for Scientific Software at German HPC Centers
NextGenIO: Next Generation I/O for Exascale
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
DataHeap: Embeding external performance data in program traces
Prestige: Development, application and validation of innovative multi-disziplinary simulation and design methods for an improved understading of airplane turbines

Completed Projects

ELP: Efficient Runtime Support for Future Programing Standards
CRESTA: Collaborative Research into Exascale Systemware, Tools and Application
Open Trace Format (OTF): Scalable file format for performance event data
MUST: Scalable runtime correctness checking for MPI applications
ECOUSS: Efficient open compiler environment for semantically annotated parallel simulationen
Scout: A Source-to-Source Transformator for SIMD-Optimizations
LMAC: Performance dynamics of massively parallel codes
Marmot / UniMCI: Runtime correctness checking of MPI applications
H4H: Optimise HPC applications on heterogeneous architectures
eeClust: Energy efficient cluster computing
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
SILC: Scalable infrastructure for automated performance analysis of parallel codes
ParMA: Parallel programming for multi-core architectures
VampirTrace: Performance data monitor for HPC applications
EP-Cache