Foundational Workload Scheduling and Parallel Computing Stack for Tensor and Mathematical Operations for AI and Quantum Workloads – 9a.011.SBU

Project Start Date: Aug 1, 2020
Research Areas: Analytics, Visualization, Visualization - Visual Analytics
Funding: Member Funded
Project Tags: ,

Project Summary

  • Develop tensor computation on multi-GPU though technologies like slurm/docker swarm.
  • Develop notebook applications through multiple language bindings – Python/Julia/C++.
  • Create a shared, collaborative, efficient AI infrastructure, GPU cluster for ML and Quantum Simulation.


Principal Investigator(s)