Title: Programmable and Adaptable Storage for AI-oriented HPC Ecosystems
Type: PT-UTAustin Exploratory project
Status: Finished  Start: 2020-10-01 End: 2021-12-31

Description

The PAstor project aims at providing a novel Software-Defined Storage (SDS) solution for HPC that can efficiently handle I/O flows from multiple AI workloads by automatically adjusting storage configurations and resources to meet applications dynamic requirements. The project will provide the first building blocks towards a novel storage architecture tailored for AI applications deployed at exascale computing infrastructures.

By gathering the expertise of researchers on the AI and distributed storage fields, and by including researchers from Texas Advanced Computing Center (TACC) and Minho Advanced Computing Center (MACC) with experience on managing HPC infrastructures, the project expects to produce new high quality research findings and advance the state-of-the-art for storage solutions currently deployed at HPC centers, such as those managed by MACC and TACC.

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