Norbert Podhorszki

Highlights

An artist rendering of the SKA’s low-frequency, cone-shaped antennas in Western Australia. Credit: SKA Project Office.
Processing Full-Scale Square Kilometre Array Data on the Summit Supercomputer

This work presents a workflow for simulating and processing the full-scale low-frequency telescope data of the Square Kilometre Array (SKA) Phase 1. The SKA project will enter the construction phase…

Total time per step to render and composite an image, both in-transit and in-line.
Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale

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-…

Estimating Lossy Compressibility of Scientific Data Using Deep Neural Networks Computer Science and Mathematics ORNL
Estimating Lossy Compressibility of Scientific Data Using Deep Neural Networks

We extract two types of features that impact the overall compression performance: the statistics of data to measure the smoothness of data which is a primary indicator of compressibility and…

Scaling performance graph of in-line and in-transit use cases.
Comparing the Efficiency of In Situ Visualization Paradigms at Scale

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…

Query processing time with an S3D data set
Querying Large Scientific Data Sets with Adaptable IO System ADIOS

In this paper, we design a query interface for ADIOS to allow arbitrary combinations of range conditions on known variables, implement a number of different mechanisms for resolving these selection…