High-performance computing systems have become increasingly dynamic, complex, and
unpredictable. To help build software that uses full-system capabilities, performance …

In parallel software development performance engineering is important to get to an efficient
parallel program. If, for example, the choosen parallel algorithm or load balancing strategy …

Multicore processors serve as target platforms in a broad variety of applications ranging from
high-performance computing to embedded mobile computing and automotive. But, the …

We address the problem of performance prediction for parallel programs execut, ed on
clusters of heterogeneous workstations on which resource contention is present. We …

With the increasing sophistication of both software and hardware systems, methodologies to
analyse and predict system performance is a topic of vital interest. This is particularly true for …

Current analytic solutions to the execution time prediction Y of binary parallel compositions
of tasks with arbitrary execution time distributions X 1 and X 2 are either computationally …

Performance prediction of applications has always been a great challenge, even for
homogeneous architectures. However, today's trend is the design of cluster running in a …

Predicting the performance of parallel scientific applications is becoming increasingly
complex. Our goal was to characterize the behavior of message-passing applications on …

A toolset, PACE (PerforAnCE analysis environment) for predicting and analysing
performance issues in parallel systems is presented here. In this toolset expert knowledge …

The non-deterministic nature of multi-threaded workloads running on multi-core platforms
often leads to notable performance variability from run to run. Such variability makes …