Webinar: Accelerating Baseline-Dependent Averaging in Gridding with GPUs

Accelerating Baseline-Dependent Averaging in Gridding with GPUs

The new-generation radio telescope SKA will be the most sensitive ever built, allowing surveys over larger fields of view and producing petabytes of data daily. Since not all the generated data can be stored, it must be processed as quickly as possible; the data processing pipeline must therefore be designed accordingly. Along this processing pipeline is the imaging stage, responsible for forming an image from interferometric measurements. We focus here on porting to GPU and optimising one of the imaging components, the gridding, aiming to meet the requirements of the new instrument.

  • When? Friday October 10, 2025, 2:00 pm – 3:00 pm
  • Where? Online

Presented by Nicolas Doucet
Post-doctoral fellow in the LIRA laboratory at Paris Observatory

Contact us for the webinar link

14 + 9 =

You might also like...

Webinar: Towards efficient, RFI-robust interferometric imaging

Webinar: Towards efficient, RFI-robust interferometric imaging

Towards efficient, RFI-robust interferometric imaging: dynamic antenna switching, EM models and algorithmsModern radio telescopes like the Square Kilometre Array (SKA) offer exceptional sensitivity, but this comes with major challenges in terms of processing massive...

read more
Webinar: Prototyping the SKA pipeline with Karabo

Webinar: Prototyping the SKA pipeline with Karabo

Prototyping the SKA pipeline with Karabo, from raw data generation to final data products.In the context of the development of the SKA radio telescope, it is becoming essential to have robust and modular pipelines capable of simulating, calibrating and imaging radio...

read more
Webinar: Towards better I/O resource usage in HPC

Webinar: Towards better I/O resource usage in HPC

Towards better I/O resource usage in HPCIn HPC systems, I/O resources are not traditionally arbitrated in the same way as compute resources (nodes, CPUs, etc). However, I/O resources have an important impact on performance, and this impact depends on application...

read more