Matthew Wolf

Highlights

Two images: in part (a), a qualitative display of how investing engineering time into the iRF-LOOP bioinformatics workflow increased metadata available along the axes from the paper, and in B the image shows how this increased metadata allowed improved platform performance for end-user-generated workflows.

The FAIR principles of open science (Findable, Accessible, Interoperable, and Reusable) have had transformative effects on modern large-scale computational science.  How best to apply the FAIR…

Total time per step to render and composite an image, both in-transit and in-line.

This study considers time-to-solution for two in situ visualization paradigms: in-line and in-transit. It is a follow-on work to two previously published studies. The first study [1] considered time-…

Improving In Transit and In Situ Analysis and Visualization ORNL Computer Science and Mathematics

In an in transit setting, a parallel data producer, such as a numerical simulation, runs on one set of ranks M, while a data consumer, such as a parallel visualization application, runs on a…

Scaling performance graph of in-line and in-transit use cases.

With this work we looked at the overheads of in-transit and in-line visualization at various scales. We demonstrate that in-transit techniques can provide not only a time savings when doing…

GTC using ADIOS on Summit, can reach near-peak performance, 2.2 TB.

The GTC CAAR code uses POSIX I/O natively that imposes significant challenges in obtaining highly performance I/O and overall management of data. As part of the RAPIDS SCIDAC project, ADIOS was…