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HPC with Enhanced User Separation
DescriptionHPC systems used for research run a wide variety of software and workflows. This software is often written or modified by users to meet the needs of their research projects, and rarely is built with security in mind. In this paper we explore several of the key techniques that MIT Lincoln Laboratory Su- percomputing Center has deployed on its systems to manage the security implications of these workflows by providing enforced separation for processes, filesystem access, network traffic, and accelerators to make every user feel like they are running on a personal HPC.
Event Type
Workshop
TimeSunday, 17 November 20243:30pm - 4pm EST
LocationB305
Tags
Applications and Application Frameworks
Artificial Intelligence/Machine Learning
Security
Registration Categories
W