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 …

With the emerging many-core paradigm, parallel programming must extend beyond its
traditional realm of scientific applications. Converting existing sequential applications as …

In an effort to guide optimizations and detect performance regressions, developers of large
HPC codes must regularly collect and analyze application performance profiles across …

Modern HPC centers comprise clusters, storage, networks, power and cooling infrastructure,
and more. Analyzing the efficiency of these complex facilities is a daunting task …

Comparing performance profiles from two runs is an essential performance analysis step
that users routinely perform. In this work we present eGprof, a tool that facilitates these …

Similarly to business intelligence tools, performance analysis and tuning tools often run one
or more iterative processes to identify optimization opportunities and implement an effective …

With the increasing complexity of upcoming HPC systems, so-called “co-design” efforts to
develop the hardware and applications in concert for these systems also become more …

La naturaleza del desarrollo de aplicaciones HPC anima al diseño digital ad hoc y su
aplicación, en lugar de análisis de requerimientos formales y especificaciones de diseño …

Our goal in this work was to identify and quantify the overheads of tracing parallel
applications. We investigate several different sources of overhead related to tracing: trace …

Critical data science applications requiring frequent access to storage perform poorly on
today's computing architectures. This project addresses efficient computation of data …