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ML/AI with accelerators at scale and Australia’s next generation of supercomputers

Event Type: Panel

Location: Online - Zoom meeting

Time zone: AEST (GMT +10)

Who can attend: Open to all

Event Description

The next Pawsey’s ‘Supercomputing Series’event will welcome industry representatives and researchers to share insight on projects spanning from astronomy to renewable energy and discussing the impact that Machine Learning (ML), Artificial Intelligence (AI) and accelerators have on their breakthroughs.

We have gathered a stellar group of experts discussing their experiences as part of a panel one more time.

Panellists include Alessandro Rigazzi, AI and Machine Learning researcher engineer at HPE/Cray and part of the team that created Smartsim. This library allows orchestration and integration of HPC simulations and AI. Joining Alessandro will be Dr Ivy Wong, a CSIRO Astronomy Science Leader in massive data challenges in the SKA era. Mathieu Cocho, Mechanical Engineer at Carnegie Clean Energy, using neural network to develop its wave predictor will also provide industry insight.

This session will be held before the deployment of Pawsey’s new system, Setonix. The 50 PFlops system has been designed to enable further research in artificial intelligence and machine learning, providing access to 750+ AMD Graphics Processing Unit (GPU) accelerators.

This event will also see the creation of a Community of Practice (CoP) where practitioners will have the opportunity to connect and discuss topics of interest, share best practices, and help answer each other’s questions on astronomy and HPC.

Registration: https://us02web.zoom.us/meeting/register/tZEldO2gqzIoG9a4FC0suW_WZWqVF5aufq3q

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