Autotuning refers to the automatic generation of a search space of possible implementations
of a computation that are evaluated through models and/or empirical measurement to …

Context: Software performance is crucial for ensuring the quality of software products. As
one of the non‐functional requirements, the few efforts devoted to software performance …

Performance analysis is critical for eliminating scalability bottlenecks in parallel codes.
There are many profiling tools that can instrument codes and gather performance data …

Thicket is an open-source Python toolkit for Exploratory Data Analysis (EDA) of multi-run
performance experiments. It enables an understanding of optimal performance configuration …

Modern HPC workflows involve intricate coupling of simulation, data analytics, and artificial
intelligence (AI) applications to improve time to scientific insight. These workflows require a …

System monitoring is an established tool to measure the utilization and health of HPC
systems. Usually system monitoring infrastructures make no connection to job information …

Today's HPC installations are highly-complex systems, and their complexity will only
increase as we move to exascale and beyond. At each layer, from facilities to systems, from …

This study focuses on performing the analysis of manipulator operations on the machining
line of precision mechanical products using the Human-Machine correlation analysis tool …

HPC has undergone a significant transition toward heterogeneous architectures. This
transition has introduced several issues in code migration to support multiple frameworks for …

Evaluating large basin-scale formations for CO2 sequestration is one of the most important
challenges for our industry. The technical complexity and the quantification of risks …