Influence of noisy environments on behavior of HPC applications
Many contemporary HPC systems expose their jobs to substantial amounts of interference,
leading to significant run-to-run variation. For example, application runtimes on Theta, a …
leading to significant run-to-run variation. For example, application runtimes on Theta, a …
PerFlow: A domain specific framework for automatic performance analysis of parallel applications
Performance analysis is widely used to identify performance issues of parallel applications.
However, complex communications and data dependence, as well as the interactions …
However, complex communications and data dependence, as well as the interactions …
Scalable fine-grained call path tracing
Applications must scale well to make efficient use of even medium-scale parallel systems.
Because scaling problems are often difficult to diagnose, there is a critical need for scalable …
Because scaling problems are often difficult to diagnose, there is a critical need for scalable …
Tools for gpu computing–debugging and performance analysis of heterogenous hpc applications
M Knobloch, B Mohr - Supercomputing Frontiers and Innovations, 2020 - superfri.org
General purpose GPUs are now ubiquitous in high-end supercomputing. All but one (the
Japanese Fugaku system, which is based on ARM processors) of the announced (pre-) …
Japanese Fugaku system, which is based on ARM processors) of the announced (pre-) …
Reducing the overhead of direct application instrumentation using prior static analysis
J Mußler, D Lorenz, F Wolf - European Conference on Parallel Processing, 2011 - Springer
Preparing performance measurements of HPC applications is usually a tradeoff between
accuracy and granularity of the measured data. When using direct instrumentation, that is …
accuracy and granularity of the measured data. When using direct instrumentation, that is …
Framework for a productive performance optimization
Modern supercomputers deliver large computational power, but it is difficult for an
application to exploit such power. One factor that limits the application performance is the …
application to exploit such power. One factor that limits the application performance is the …
On the usefulness of object tracking techniques in performance analysis
Understanding the behavior of a parallel application is crucial if we are to tune it to achieve
its maximum performance. Yet the behavior the application exhibits may change over time …
its maximum performance. Yet the behavior the application exhibits may change over time …
ScalAna: Automating scaling loss detection with graph analysis
Scaling a parallel program to modern supercomputers is challenging due to inter-process
communication, Amdahl's law, and resource contention. Performance analysis tools for …
communication, Amdahl's law, and resource contention. Performance analysis tools for …
Design and implementation of a hybrid parallel performance measurement system
Modern parallel performance measurement systems collect performance information either
through probes inserted in the application code or via statistical sampling. Probe-based …
through probes inserted in the application code or via statistical sampling. Probe-based …
Production application performance data streaming for system monitoring
R Izadpanah, BA Allan, D Dechev… - ACM Transactions on …, 2019 - dl.acm.org
In this article, we present an approach to streaming collection of application performance
data. Practical application performance tuning and troubleshooting in production high …
data. Practical application performance tuning and troubleshooting in production high …