ALCF Aurora 2021 Early Science Program: Data and Learning Call For Proposals

 

Aurora 2021 Data and Learning Call For Proposals Is Now Closed.

In 2021, the Argonne Leadership Computing Facility (ALCF) will deploy Aurora, a new Intel-Cray system. Aurora, will be capable of over 1 exaflops. It is expected to have over 50,000 nodes and over 5 petabytes of total memory, including high bandwidth memory. The Aurora architecture will enable scientific discoveries using simulation, data and learning. The detailed architecture of Aurora is protected by RSNDA (Restricted Secret Nondisclosure Agreement).

For the Aurora Early Science Program (ESP) Data and Learning call, we will select 10 new projects, all chosen competitively based on this call for proposals. With this CFP, we are specifically targeting applications in the areas of Data and Learning. These should have strong aspects of data science (Big Data, data-intensive computing, experimental/observational/simulation data analytics, etc.) and/or machine learning (deep learning, neural networks, discovery of patterns and reduced models for scientific data and/or simulation modeling, etc.). Cross-cutting proposals targeting the convergence of simulation, data and learning are very much encouraged.

With Aurora being a dramatically bigger and faster machine than Theta or Mira, the three months of pre-production Early Science time will be a large and valuable allocation of core-hours, with the potential for truly unprecedented computational science—as well as being the United States’ first exascale system. ALCF will fully fund 10 postdoctoral appointees for Aurora ESP—one for each selected project.

Below is a rough timeline for the Aurora ESP. The rows labeled “A21 ESP projects” denote the central effort of the projects: developing, porting, and tuning code for the target system:
 

 

 

Relationship with existing Aurora ESP projects

Before the plan to shift from a 2018-delivery (180 petaflops) Aurora based on third-generation Intel® Xeon Phi™ processors to the