The TULIPP project aims to simplify development of embedded vision applications with low-
power and real-time requirements by providing a complete image processing system …

Understanding the behavior of software in execution is a key step in identifying and fixing
performance issues. This is especially important in high performance computing contexts …

Summary Programming paradigms in High‐Performance Computing have been shifting
toward task‐based models that are capable of adapting readily to heterogeneous and …

The application of federated extreme gradient boosting to mobile crowdsensing apps brings
several benefits, in particular high performance on efficiency and classification. However, it …

Many industrial domains rely on vision-based applications which require to comply with
severe performance and embedded requirements. Tulipp will develop a reference platform …

Programming parallel applications for heterogeneous HPC platforms is much more
straightforward when using the task-based programming paradigm. The simplicity exists …

Early-bird communication is a communication/computation overlap technique that combines
fine-grained communication with partitioned communication to improve application run-time …

Task granularity, ie, the amount of work performed by parallel tasks, is a key performance
attribute of parallel applications. On the one hand, fine-grained tasks (ie, small tasks carrying …

Past work on OpenMP program visualization has mainly centered on performance analysis.
This paper explores how the visualization of computation graphs assists programmers in …

Task-based parallelism has adequately addressed the coding complexity required to fully
exploit the processing power offered by omnipresent hybrid CPU/GPU supercomputers …