This year at the High Performance Extreme Computing Conference (HPEC), happening virtually from September 20- 24, Reservoir Labs presents four research papers:
- Knowledge-guided Tensor Decomposition for Baselining and Anomaly Detection (in collaboration with UMD’s Laboratory for Physical Sciences)
- An All-at-Once CP Decomposition Method for Count Tensors (in collaboration with UMD’s Laboratory for Physical Sciences)
- Filtered Tensor Construction and Decomposition for Drug Repositioning
- Boundary Integral Solver Approaches for Particle Accelerator Simulation Problems and Deployment on NERSC Hardware
HPEC is the premier conference globally on the convergence of High Performance and Embedded Computing. Reservoir’s Data Analytics and Algorithms teams are pleased to share their latest findings. The conference program details are available.