Projects

We are working on several exciting projects with the goal of boost the productivity of large-scale computer clusters. Broadly speaking, our research themes can be classified into four categories: (1) Resource Management and Scheduling, (2) Energy Efficiency, (3) AI4Science, and (4) Digital Twins  (ModSim and Visualization).

Funded projects Heading link

  • Tachyon: Intelligent Multi-Scale Modeling of Distributed Resilient Infrastructure and Workflows for Data Intensive HEP Analyses

    A collaborative project funded by DOE (PIs: C. Carothers,  Z. Lan, K. Ma, A. Norman, and R. Ross in alphabetic order).

  • MINT: Multi-resource INtelligenT management of hybrid workloads

    A research project funded by NSF (PI: Z. Lan).

  • AI4LCF: Adaptive Resource Management and Scheduling for Leadership Computing Facility

    A research project funded by DOE/ANL (PI: Z. Lan in partnership with the scheduling team at ANL led by M. Papka)

  • Kronos: Enabling Long Timescale PDES Simulations via Multi-Resolution Methods

    A collaborative project funded by DOE (PIs: K. Brown, Z. Lan, and C. Carothers).

  • HQ Visualization

    A research project funded by Argonne Lab (PI: M. Papka).

  • Chicagoland Computational Traineeship in High Energy Particle Physics (C2theP2)

    An educational program funded by DOE (co PIs: M. Papka and Z. Lan).

  • FOUNT: Scaffolded, Hands-On Learning for a Data-Centric Future

    A CyberTraining project funded by NSF (site PI: M. Papka).

  • Human-Robot Interactions and Modeling

    A research project on digital twins funded by DOE (site PI: M. Papka).

  • PPoSS Planning: SEEr: Scalable, Energy-Efficient HPC environment for AI-enabled science

    A collaborative project funded by NSF (PIs: Z. Lan (lead), V. Taylor , and M. Papka).

  • Cobalt: A High Performance, Multi-Dimensional Batch Scheduler for Pre-exascale and Beyond Systems

    A research project funded by DOE/ANL (PI: Z. Lan).

  • IRON: Reducing Workload Interference on Massively Parallel Platforms

    A research project funded by NSF (PI: Z. Lan).

  • Collaborative Research:Experimental-based Research Application Execution Time, Power, Resilience

    A collaborative research project funded by NSF (PIs: V. Taylor (lead), Z. Lan).

  • SPEaR: Toward Smart HPC through Active Learning and Intelligent Scheduling

    A research project funded by NSF (PI: Z. Lan).

  • Parallel Programming Patterns for Financial Engineering (completed)

    A research project funded by Intel (M. Dixon & Z. Lan).

  • COTA: A Cooperative Framework for Topology Awareness on Large-scale Systems (completed)

    A research project funded NSF (PI: Z. Lan).

  • Nvidia Teaching Center Program at Illinois Institute of Technology (completed)

    A project funded by Nvidia (Z. Lan & I. Raicu).

  • HPC Analytics for Extreme Scale Computing (completed)

    A research project funded by DOE/ANL (PI: Z. Lan).

  • Intelligent Storage Resource Services for the RAINS Project (completed)

    A research project funded by DOE/ANL (PI: Z. Lan).

  • Online System Monitoring, Diagnosing, and Predicting on Large-scale Systems (completed)

    A research project funded by DOE/Sandia (PI: Z. Lan).

  • PetaART: Toward Petascale Cosmological Simulations using the Adaptive Refinement Tree (ART) Code (completed)

    A collaborative research project funded by NSF (PIs: A. Kravtsov, N. Gnedin, and Z. Lan).

  • RAPS: Recovery Aware Parallel computing Systems (completed)

    A research project funded by NSF (PI: Z. Lan).

  • FENCE: Fault awareness ENabled Computing Environment (completed)

    A research project funded by NSF (PI: Z. Lan).

  • Exploring Large-scale Adaptive Applications on Distributed Terascale Facilities (completed)

    A research project funded by NSF NPACI (PI: Z. Lan).

  • Network Performance Predicting and Scheduling for Grid Computing (completed)

    A project funded by IXUPP (PI: Z. Lan).