- Indico style
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- Indico style - numbered
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Researchers dealing with highly sensitive data are increasingly demanding access to the computational resources required to be able to adapt those approaches in their disciplines, which is being driven by the advancement of data and compute-intensive methods in numerous scientific domains. Integrating trustworthy security measures on current High Performance Computing (HPC) clusters is an ongoing endeavor to efficiently meet the computing needs of those researchers. The main issue with handling sensitive data securely is that HPC systems are often shared systems that are optimized for efficiency rather than strong security. Moreover, using only UNIX permissions is not secure enough since new vulnerabilities are constantly being found. In this workshop, we will use a step-by-step approach to show you how to use a secure workflow that has been been developed and deployed on the Scientific Compute Cluster (SCC), to guarantee more security when analysing sensitive data on HPC systems.