Multi-core processors, in 2022 are the default choice for a variety of computing needs from
small Internet-of-Things devices to large super-computing clusters. While developing …

Today's massively parallel machines are typically message passing systems consisting of
hundreds or thousands of processors. Implementing parallel applications efficiently in this …

A characterisation toolset, Characterisation Instrumentation for Performance Prediction of
Parallel Systems (CHIP3S), for predicting the performance of parallel systems is presented …

Software performance predictions are an established part of an engineering like software
development process and therefore relevant to enable high quality and to ensure …

Performance prediction indicates the time required for execution of an application on a
particular machine. Machine ranking indicates the set of machines that is likely to execute an …

In the road to exascale computing, the inference of expected performance of parallel
applications results in a complex task. Performance analysts need to identify the behavior of …

Software performance evaluation relies on the ability of simple models to predict the
performance of complex systems. Often, however, the models are not capturing potentially …

The ALPSTONE project comprises a methodology and tools that guide a programmer of
parallel software from the design of a program to the finished code under the aspect of …

Performance evaluation studies are to be an integral part of the design and tuning of parallel
applications. We propose a hierarchical approach to the systematic characterization of the …

Automatic Performance Prediction of Parallel Programs presents a unified approach to the
problem of automatically estimating the performance of parallel computer programs. The …