Lawrence Livermore National Laboratory



A Coupled Seismic and Acoustic Simulation Capability (14-ERD-001)

Atmospheric Source Reconstruction with Uncertainty Quantification (14-ERD-006)

Parallel Time Integration for High-Performance Computing (14-ERD-013)

Planetary-Scale Agent Simulations (14-ERD-062)

Computation Power at Scale (14-ERD-065)

Exploiting the Gemini Planet Imager: Revolutionary Exoplanet Science and Advanced Adaptive Optics (14-ERD-076)

The Livermore Brain: Massive Deep-Learning Networks Enabled by High-Performance Computing (14-ERD-100)

Scalable High-Order Computational Multiphysics at Extreme Scale (14-SI-002)

Integrated Mesoscale Approach for Predicting Ionic Conductivity in Solid Electrolytes (15-ERD-022)

New Computational Methods for Scalable Genome Variation Discovery (15-ERD-023)

Acceleration of Ptychographic Microscopy Reconstruction (15-ERD-028)

Algorithm for First-Principles Molecular Dynamics of Metals at Extreme Scales (15-ERD-032)

Failure Recovery Abstractions for Large-Scale Parallel Applications (15-ERD-039)

Predictive Models Based on Disjointed Feature Sets for Applications in Biomedicine and Cyber Security (15-ERD-053)

Unified Description of Quantum Many-Body Systems (15-FS-005)

Numerical Performance and Parallel Scalability of Multi-Rate Integrators Based on Discrete-Event Simulation (15-FS-014)

Validating Large Fluid-Dynamics Simulations of Complex Geometries with Three-Dimensional Printing (15-LW-029)

In-Memory Associative Indexing (16-ERD-005)

Modeling Spatial and Temporal Coupling in High-Contrast Grating Compressors Utilizing High-Performance Computing (16-ERD-018)

An Extreme-Scale Computational Framework for Data Assimilation and Uncertainty Management of Large-Dimensional Dynamics Models (16-ERD-023)

Topology Optimization of Multifunctional Materials (16-ERD-025)

Multimodal Learning on Big Brain Data (16-ERD-034)

Improving Simulation Workflows: A Data Analytics Approach (16-ERD-036)

Scalable Computational Learning Architectures (16-ERD-039)

Unum Computing: A Novel Approach for Enabling High-Performance Computing Environments (16-FS-001)

Simulation of Biased Random Walks in an Asynchronous Graph Framework: Walks on Dynamic Graphs (16-FS-024)


FY2015 LDRD Annual Report