Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) have become pervasive in our everyday lives. As fields outside computer science and other computationally intensive programs find themselves inundated with data conducive to these machine driven learning algorithms, it has become increasingly necessary to support these non-traditional users on high performance computing (HPC) clusters designed by and for users with a heavy computer science background. Here we present a platform combining Open OnDemand and containers to enable all users to more rapidly use available high performance compute clusters. Importantly, time to science, dead time between identified computational need, account request, first logon and successful job submission, is reduced to close to zero. Additionally, we show how, OnDemand in combination with containers, reduce user support needs through an intuitive interface.
Containerized Convergence of Big Data and Big Computer
Containers & HPC: What is the big deal?
HPCKP (High-Performance Computing Knowledge Portal) is an Open Knowledge project focused on technology transfer and knowledge sharing in the HPC Science field.