Projects
CURRENT
CURRENT
- Parallel Primitives for Randomized Algorithms on Sparse Data
- Global Address Programming with Accelerators
- ExaGraph: Combinatorial Methods for Enabling Exascale Applications
- ExaBiome: Exascale Solutions for Microbiome Analysis
- RAPIDS, the SciDAC Institute for Computer Science and Data
- Deep Learning for Science
- Quantum Algorithms for Chemical Sciences
- BINOCULARS
- THOR
PAST:
PAST:
- EDGAR: Energy-efficient Data and Graph Algorithms Research
- X-Stack - Auto-tuning sparse linear algebra, Graph Analytics, and Particle-in-Cell codes