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In this paper, we address the decreasing performance of the FFTXlib, the Fast Fourier Transformation (FFT) kernel of Quantum ESPRESSO, when scaling to a full KNL node. An increased performance in the FFTXlib will likewise increase the performance of the entire Quantum ESPRESSO code one of the most used plane-wave DFT codes in the community of material science. Our approach focuses on, first, overlapping...
One of the most urgent challenges in event based performance analysis is the enormous amount of collected data. Combining event tracing and periodic sampling has been a successful approach to allow a detailed event-based recording of MPI communication and a coarse recording of the remaining application with periodic sampling. In this paper, we present a novel approach to automatically adapt the sampling...
In this paper we address the problem of massive event trace sizes, one of the most urgent challenges in the performance analysis of large-scale parallel applications. Reducing trace sizes during the application runtime decreases application slow down, eliminates measurement bias, and cuts down stress on the underlying file system. Previous approaches use static filters to decrease trace size, which...
Today, it is commonly accepted that speedup and efficiency are not granted automatically when developing or porting software for High Performance Computing (HPC) platforms. The reasons are manifold and actively investigated in the community. Software monitors are essential for these studies as they provide the raw performance data to be analyzed. We propose an online monitoring workflow for event-based...
High performance computing (HPC) systems are getting more and more powerful but also more and more complex. Supportive environments such as performance analysis tools are essential to assist developers in utilizing the computing resources of such complex systems. One of the most urgent challenges in event based performance analysis is the enormous amount of collected data. In particular, the recording...
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