Tools for High Performance Computing 2018 / 2019: Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performanc

Detecting disaster before it strikes: On the challenges of automated building and testing in HPC environments.- Saving Energy Using the READEX Methodology.- The MPI Tool Interfaces: Past, Present, and Future-Capabilities and Prospects.- A tool for runtime analysis of performance and energy usage in NUMA systems.- Usage experiences of performance tools for modern C++ code analysis and optimization.- Performance Analysis of Complex Engineering Frameworks.- System-wide Low-frequency Sampling for Large HPC Systems.- Exploring Space-Time Trade-Off in Backtraces.- Enabling Performance Analysis of Kokkos Applications with Score-P.- Regional Profiling for Efficient Performance Optimization.- Effortless Monitoring of Arithmetic Intensity with PAPI's Counter Analysis Toolkit.- ONE View: a fully automatic method for aggregating key performance metrics and providing users with a synthetic view of HPC applications.- A picture is worth a thousand numbers - Enhancing Cube's analysis capabilities with plugins.- Advanced Python Performance Monitoring with Score-P.