Performance models are well-known instruments to understand the scaling behavior of
parallel applications. They express how performance changes as key execution parameters …

Many software systems offer configuration options to tailor their functionality and non-
functional properties (eg, performance). Often, users are interested in the (performance-) …

Offering insights into the behavior of applications at higher scale, performance models are
useful for finding performance bugs and tuning the system. Extra-P, a tool for automated …

The analysis of runtime performance is important during the development and throughout
the life cycle of HPC applications. One important objective in performance analysis is to …

Performance models are powerful tools allowing developers to understand the behavior of
their applications, and empower them to address performance issues already during the …

We deal with the calibration problem of an active head-eye system, which consists of a pair
of cameras mounted on a head with 13 degrees of freedom. The aim of the calibration is to …

Many libraries in the HPC field use sophisticated algorithms with clear theoretical scalability
expectations. However, hardware constraints or programming bugs may sometimes render …

Modeling the performance of a program is an important task in the field of automatic
performance tuning. These days, performance modeling on a large-scale supercomputer …

In this paper, we investigate two implementations of the LLL lattice basis reduction algorithm
in the popular NTL and fplll libraries, which helps to assess the security of lattice-based …

In this article, we present the novel features of the recent version of SimAnMo, the Simulated
Annealing Modeler. The tool creates models that correlate the size of one input parameter of …