The research highlights listed below can be viewed interactively on the booth’s Research Highlights touch screen displays.

Ames Laboratory

  • Enabling GAMESS for Exascale Computing in Chemistry & Materials
  • Energy Efficient Computational Chemistry: x86 and ARM
  • Investigating Novel Hardware Architectures
  • Xeon Phi Leadership Computing with GAMESS
  • Explicitly Correlated local MRCI and local MRACPF
  • Scalable Dynamics with the Fragment Molecular Orbital Method


  • Argo Containers: Resource Management for Exascale
  • FTI
  • Mochi
  • Theta & Aurora: On the Path to Exascale
  • ANL VERIFI Gasoline Diesel Engine Development
  • Joint Laboratory for System Evaluation
  • RAST, Quantum Dots, Platooning
  • ALCF Data Science Program


  • Tackling Chemical, Materials and Biomolecular Challenges in the Exascale Era
  • Visualization and Visual Analytics for Multivariate Scientific Data
  • Exascale Lattice Gauge Theory
  • Streaming Data Analysis on the Wire (AoW)
  • Software Defined Network Science Flows (SDN-SF)
  • Extreme Scale Machine Learning

Exascale Computing Project

  • Exascale Computing Project: Capable Exascale Systems by 2023
  • Exascale Computing Project: Software Technology
  • DOE Exascale Computing Project: Hardware Technology Focus Area
  • Applications at Exascale: Cosmology & Seismology
  • Applications at Exascale: Chemistry & Combustion
  • CANDLE Accelerates Solutions Toward Three Top Cancer Challenges


  • Laboratory Directed Research and Development (LDRD) at Fermilab
  • ComPASS for Accelerator Science and Simulation
  • Finding the Astrophysical Objects that Produce Gravitational Waves
  • HEPCloud: Facility of the Future
  • Why Lattice QCD Matters
  • USCMS FNAL Tier 1 Facility


  • MOOSE Simulation Environment
  • Simulation Made Simple
  • Improving Nuclear Safety
  • Rattlesnake + MAMMOTH

Lawrence Berkeley

  • Optimizing Cori for Data Intensive Science
  • The Cori Manycore Optimization Strategy
  • Using AMR to Accelerate Breakthrough Science at Exascale
  • The Petascale Data Transfer Node (DTN) Project
  • JupyterLab: Transforming Computational Science
  • Deploying Flexible Photonic Components to Support 400G at ESnet

Lawrence Livermore

  • Simulating drug-induced arrhythmias with Cardioid
  • TrueNorth chips enable brain-inspired 16-chip supercomputer
  • Scaling a high energy laser application (VBL) using MPI and RAJA
  • Fast, accurate, million-atom first-principles molecular dynamics
  • HPC4Mfg: Virtual blast furnaces for steel manufacturing
  • Spack: a flexible tool for managing exascale software

Los Alamos

  • Tracing the source of infectious agents
  • Machine Learning for High Performance Computing
  • The Parallel Fine-grained Soft Error Fault Injector (PFSEFI)
  • Preparing Open Science Applications for Trinity
  • Turbulence Driven by Opposing Streams of Different Density Fluids
  • Ocean Currents and Climate Change


  • Simulation of molecular structure and morphology in organic photovoltaic (OPV) active layer polymers
  • Atomistic Molecular Dynamics Simulations of Radical Polymer Materials for Energy Storage
  • Simulated LiDAR-Based Wind Turbine Wake Measurement Campaign

Oak Ridge

  • Using High Performance Computing for Manufacturing
  • Toward an Exascale Ecosystem for Science
  • Health Data Sciences Institute at ORNL
  • Machine and Deep Learning for the Smartest Exascale Computer
  • Summit: The Next Peak in HPC

Pacific Northwest

  • Computing Project to Tackle Grid Modernization at Warp Speed
  • NWChemEx: Tackling Chemical, Materials & Biomaterials Challenges
  • CENATE: A Computing Proving Ground
  • Scaling Graph Algorithms on Extreme-scale Architectures
  • High Performance Data Analytics


  • Modeling Primary Atomization of Liquid Fuels Using a Multiphase Approach
  • Mitigating Silent Hardware Errors in Scientific Computing
  • Competitive O2N2 Separation for Cleaner Power Plants
  • Scalable Stochastic Programming with Pyomo
  • Evaluating Dragonfly Global Link Architectures
  • Lightweight Distributed Metric Service

Savannah River

  • Atmospheric Modeling with HPC

Thomas Jefferson National Accelerator Facility

  • CLARA Data-Stream Processing Framework
  • Parallel Event Reconstruction in GlueX
  • Jefferson Lab deploys KNL Cluster, becomes IPCC
  • Jefferson Lab collaborates with NVIDIA to speed up code on GPUs
  • JLAB collaborates with ODU to design GHOST