A5081230961- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Software System Performance and Reliability
- Cloud Computing and Resource Management
- Scientific Computing and Data Management
- Distributed systems and fault tolerance
- Education and Learning Interventions
- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Software Engineering Research
- Advanced Software Engineering Methodologies
- Geophysical and Geoelectrical Methods
- Metaheuristic Optimization Algorithms Research
- Quantum Computing Algorithms and Architecture
- Digital Filter Design and Implementation
- Simulation Techniques and Applications
- Geophysics and Sensor Technology
TU Dresden
2011-2024
GWT-TUD (Germany)
2023
The SPEChpc 2021 suites are application-based benchmarks de- signed to measure performance of modern HPC systems. bench- marks support MPI, MPI+OpenMP, MPI+OpenMP target offload, MPI+OpenACC and portable across all major platforms.
Reducing application runtime, scaling parallel applications to higher numbers of processes/threads, and porting new hardware architectures are tasks necessary in the software development process. Therefore, developers have investigate understand runtime behavior. Tools such as monitoring infrastructures that capture performance relevant data during execution assist this task. The measured forms basis for identifying bottlenecks optimizing code.
As applications grow in capability, they also complexity. This complexity turn gets pushed into modules and libraries. In addition, hardware configurations become increasingly elaborate, too. These two trends make understanding, debugging analyzing the performance of more difficult. To enable detailed insight library usage applications, we present an approach implementation Score-P that supports intuitive robust creation wrappers for arbitrary C/C++ Runtime analysis then uses these to keep...
In recent years, High Performance Computing (HPC) has become increasingly important for many industries and research areas besides 'classic' applications. As new domains emerge, applications, implementations frameworks more diverse. Generic performance analysis tools often cannot keep up with the development speed of approaches workload distribution, offloading, communication. Some employ their own monitoring, which is difficult to integrate into generic designed traditional HPC....
Accurate prediction of fluid flows remains an important field research and engineering. To this end, computational dynamics (CFD) is widely employed. Due to their high demands on resources CFD applications benefit from HPC systems. Continuous performance analysis optimization key efficient utilization resources. This paper demonstrates the beneficial cooperation between developers software tools in context solver CODA sparse linear system Spliss. We investigate concepts used by CODA/Spliss...